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Start of test: Mon Sep 28 16:57:02 2020
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System running on (uname -a): Linux vld189 3.10.0-1127.19.1.el7.x86_64 #1 SMP Tue Aug 11 19:12:04 EDT 2020 x86_64 x86_64 x86_64 GNU/Linux
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Performing test: IT-1DVAR-OP
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Running compiler / platform / module: gfortran_linux / vld189 / ropp_1dvar
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Running command / platform: . ./.ropp_test gfortran_linux; ROPP_testing/ropp_1dvar/tools/ropp_1dvar_bangle_gfortran_linux -y ROPP_testing/ropp_test_tmp/IT-FM-OP.nc -b ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc --bg-corr ROPP_testing/ropp_1dvar/errors/ropp_bg_ecmwf_error_corr_L91.nc -o ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc / vld189
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ROPP Bending Angle 1D-Var
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INFO (from ropp_1dvar_bangle): Reading observation data for profile 1 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 1 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 176.73 max(relative change in state) = -
n_iter = 2 J = 110.06 max(relative change in state) = 3.5523
n_iter = 3 J = 100.24 max(relative change in state) = 1.4568
n_iter = 4 J = 99.548 max(relative change in state) = 0.54384
n_iter = 5 J = 99.040 max(relative change in state) = 0.37328
n_iter = 6 J = 98.927 max(relative change in state) = 0.76776E-01
n_iter = 7 J = 98.848 max(relative change in state) = 0.87230E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Writing 1DVar retrieval for profile 1 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 2 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 2 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 106.04 max(relative change in state) = -
n_iter = 2 J = 87.372 max(relative change in state) = 0.75083
n_iter = 3 J = 57.171 max(relative change in state) = 2.2674
n_iter = 4 J = 55.385 max(relative change in state) = 0.55871
n_iter = 5 J = 54.860 max(relative change in state) = 0.53835
n_iter = 6 J = 54.308 max(relative change in state) = 0.89968E-01
n_iter = 7 J = 54.269 max(relative change in state) = 0.24967E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 2 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 3 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 3 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 147.16 max(relative change in state) = -
n_iter = 2 J = 107.80 max(relative change in state) = 1.0539
n_iter = 3 J = 69.304 max(relative change in state) = 2.0151
n_iter = 4 J = 67.603 max(relative change in state) = 0.64634
n_iter = 5 J = 66.882 max(relative change in state) = 0.45043
n_iter = 6 J = 66.562 max(relative change in state) = 0.13348
n_iter = 7 J = 66.511 max(relative change in state) = 0.23670E-01
n_iter = 8 J = 66.518 max(relative change in state) = 0.18282
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 3 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 4 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 4 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 97.502 max(relative change in state) = -
n_iter = 2 J = 80.779 max(relative change in state) = 0.60233
n_iter = 3 J = 55.749 max(relative change in state) = 1.8916
n_iter = 4 J = 54.209 max(relative change in state) = 0.30996
n_iter = 5 J = 57.242 max(relative change in state) = 0.50587
n_iter = 6 J = 54.010 max(relative change in state) = 0.35045
n_iter = 7 J = 53.963 max(relative change in state) = 0.19633E-01
n_iter = 8 J = 53.896 max(relative change in state) = 0.20942
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 4 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 5 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 5 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 5 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 6 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 6 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 14.138 max(relative change in state) = -
n_iter = 2 J = 12.139 max(relative change in state) = 0.33071
n_iter = 3 J = 11.063 max(relative change in state) = 0.61604
n_iter = 4 J = 12.816 max(relative change in state) = 0.87169
n_iter = 5 J = 11.068 max(relative change in state) = 0.63484
n_iter = 6 J = 11.001 max(relative change in state) = 0.10084
n_iter = 7 J = 10.981 max(relative change in state) = 0.72158E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 6 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 7 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 7 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 257.45 max(relative change in state) = -
n_iter = 2 J = 236.28 max(relative change in state) = 6.5037
n_iter = 3 J = 165.08 max(relative change in state) = 3.5222
n_iter = 4 J = 166.08 max(relative change in state) = 1.5171
n_iter = 5 J = 163.06 max(relative change in state) = 0.71177
n_iter = 6 J = 162.49 max(relative change in state) = 0.36552
n_iter = 7 J = 162.14 max(relative change in state) = 0.25224
n_iter = 8 J = 161.35 max(relative change in state) = 0.31678
n_iter = 9 J = 159.62 max(relative change in state) = 0.41533
n_iter = 10 J = 160.28 max(relative change in state) = 0.15476
n_iter = 11 J = 159.37 max(relative change in state) = 0.11483
n_iter = 12 J = 159.33 max(relative change in state) = 0.15279E-01
n_iter = 13 J = 159.19 max(relative change in state) = 0.15250
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 7 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 8 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 8 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 157.18 max(relative change in state) = -
n_iter = 2 J = 111.85 max(relative change in state) = 1.7478
n_iter = 3 J = 97.580 max(relative change in state) = 1.3415
n_iter = 4 J = 95.711 max(relative change in state) = 0.50590
n_iter = 5 J = 99.642 max(relative change in state) = 1.0442
n_iter = 6 J = 95.479 max(relative change in state) = 0.82201
n_iter = 7 J = 95.447 max(relative change in state) = 0.15922E-01
n_iter = 8 J = 95.329 max(relative change in state) = 0.20204
n_iter = 9 J = 95.386 max(relative change in state) = 0.71992E-01
n_iter = 10 J = 95.257 max(relative change in state) = 0.48657E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 8 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 9 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 9 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 23.311 max(relative change in state) = -
n_iter = 2 J = 19.572 max(relative change in state) = 0.42637
n_iter = 3 J = 16.385 max(relative change in state) = 0.90950
n_iter = 4 J = 18.390 max(relative change in state) = 1.0219
n_iter = 5 J = 16.279 max(relative change in state) = 0.84939
n_iter = 6 J = 16.251 max(relative change in state) = 0.14391E-01
n_iter = 7 J = 16.129 max(relative change in state) = 0.18732
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 9 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 10 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 10 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.46 max(relative change in state) = -
n_iter = 2 J = 83.490 max(relative change in state) = 0.62619
n_iter = 3 J = 51.092 max(relative change in state) = 2.3226
n_iter = 4 J = 49.808 max(relative change in state) = 0.33841
n_iter = 5 J = 49.493 max(relative change in state) = 0.32803
n_iter = 6 J = 49.110 max(relative change in state) = 0.12880
n_iter = 7 J = 49.060 max(relative change in state) = 0.27622E-01
n_iter = 8 J = 49.155 max(relative change in state) = 0.13231
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 10 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 11 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 11 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 75.094 max(relative change in state) = -
n_iter = 2 J = 62.864 max(relative change in state) = 0.58979
n_iter = 3 J = 47.532 max(relative change in state) = 1.4797
n_iter = 4 J = 46.172 max(relative change in state) = 0.56631
n_iter = 5 J = 45.884 max(relative change in state) = 0.82619
n_iter = 6 J = 45.324 max(relative change in state) = 0.25904
n_iter = 7 J = 45.219 max(relative change in state) = 0.80421E-01
n_iter = 8 J = 45.255 max(relative change in state) = 0.29783
n_iter = 9 J = 44.957 max(relative change in state) = 0.17953
n_iter = 10 J = 44.707 max(relative change in state) = 0.15411
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 11 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 12 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 12 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 50.609 max(relative change in state) = -
n_iter = 2 J = 42.837 max(relative change in state) = 0.51502
n_iter = 3 J = 36.805 max(relative change in state) = 1.1519
n_iter = 4 J = 36.573 max(relative change in state) = 0.29071
n_iter = 5 J = 36.502 max(relative change in state) = 0.48486
n_iter = 6 J = 36.383 max(relative change in state) = 0.16564
n_iter = 7 J = 36.332 max(relative change in state) = 0.89166E-01
n_iter = 8 J = 36.292 max(relative change in state) = 0.83004E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 12 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 13 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 13 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 94.645 max(relative change in state) = -
n_iter = 2 J = 82.058 max(relative change in state) = 0.65480
n_iter = 3 J = 58.721 max(relative change in state) = 3.3062
n_iter = 4 J = 58.606 max(relative change in state) = 0.55164
n_iter = 5 J = 57.058 max(relative change in state) = 0.39151
n_iter = 6 J = 56.799 max(relative change in state) = 0.46668
n_iter = 7 J = 55.842 max(relative change in state) = 0.20362
n_iter = 8 J = 55.587 max(relative change in state) = 0.37593
n_iter = 9 J = 54.794 max(relative change in state) = 0.30282
n_iter = 10 J = 53.886 max(relative change in state) = 0.32147
n_iter = 11 J = 54.408 max(relative change in state) = 0.37049
n_iter = 12 J = 53.279 max(relative change in state) = 0.17847
n_iter = 13 J = 53.085 max(relative change in state) = 0.50996E-01
n_iter = 14 J = 52.218 max(relative change in state) = 0.43601
n_iter = 15 J = 53.033 max(relative change in state) = 0.78703
n_iter = 16 J = 51.557 max(relative change in state) = 0.33268
n_iter = 17 J = 51.435 max(relative change in state) = 0.33318E-01
n_iter = 18 J = 51.110 max(relative change in state) = 0.18037
n_iter = 19 J = 50.822 max(relative change in state) = 0.30090
n_iter = 20 J = 50.658 max(relative change in state) = 0.10599
n_iter = 21 J = 50.491 max(relative change in state) = 0.38792
n_iter = 22 J = 50.452 max(relative change in state) = 0.13901
n_iter = 23 J = 50.407 max(relative change in state) = 0.30499E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 23.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 13 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 14 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 14 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 54.720 max(relative change in state) = -
n_iter = 2 J = 45.297 max(relative change in state) = 0.56097
n_iter = 3 J = 32.655 max(relative change in state) = 1.3817
n_iter = 4 J = 32.722 max(relative change in state) = 0.69930
n_iter = 5 J = 31.913 max(relative change in state) = 0.37182
n_iter = 6 J = 31.837 max(relative change in state) = 0.15481
n_iter = 7 J = 31.797 max(relative change in state) = 0.91969E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 14 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 15 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 15 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 60.032 max(relative change in state) = -
n_iter = 2 J = 49.891 max(relative change in state) = 0.61254
n_iter = 3 J = 42.140 max(relative change in state) = 1.0896
n_iter = 4 J = 43.647 max(relative change in state) = 1.0773
n_iter = 5 J = 41.593 max(relative change in state) = 0.84990
n_iter = 6 J = 41.304 max(relative change in state) = 0.13708
n_iter = 7 J = 40.811 max(relative change in state) = 0.33792
n_iter = 8 J = 40.573 max(relative change in state) = 0.44676
n_iter = 9 J = 40.197 max(relative change in state) = 0.89768E-01
n_iter = 10 J = 40.010 max(relative change in state) = 0.17275
n_iter = 11 J = 39.800 max(relative change in state) = 0.13097
n_iter = 12 J = 39.577 max(relative change in state) = 0.17489
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 15 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 16 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 16 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 199.25 max(relative change in state) = -
n_iter = 2 J = 145.90 max(relative change in state) = 4.9657
n_iter = 3 J = 139.91 max(relative change in state) = 1.1137
n_iter = 4 J = 140.59 max(relative change in state) = 1.6811
n_iter = 5 J = 137.17 max(relative change in state) = 0.82741
n_iter = 6 J = 136.15 max(relative change in state) = 0.35873
n_iter = 7 J = 135.93 max(relative change in state) = 0.56477
n_iter = 8 J = 134.42 max(relative change in state) = 0.26447
n_iter = 9 J = 133.68 max(relative change in state) = 0.45550
n_iter = 10 J = 131.94 max(relative change in state) = 0.38147
n_iter = 11 J = 131.32 max(relative change in state) = 0.32072
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 16 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 17 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 17 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 17 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 18 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 18 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 25.790 max(relative change in state) = -
n_iter = 2 J = 21.855 max(relative change in state) = 0.34638
n_iter = 3 J = 18.619 max(relative change in state) = 0.48168
n_iter = 4 J = 18.614 max(relative change in state) = 0.32612
n_iter = 5 J = 18.364 max(relative change in state) = 0.20809
n_iter = 6 J = 18.292 max(relative change in state) = 0.42399E-01
n_iter = 7 J = 18.247 max(relative change in state) = 0.30039E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 18 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 19 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 19 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 178.44 max(relative change in state) = -
n_iter = 2 J = 112.22 max(relative change in state) = 3.5849
n_iter = 3 J = 102.68 max(relative change in state) = 1.7649
n_iter = 4 J = 113.77 max(relative change in state) = 2.7286
n_iter = 5 J = 101.61 max(relative change in state) = 2.0908
n_iter = 6 J = 101.42 max(relative change in state) = 0.35506E-01
n_iter = 7 J = 100.45 max(relative change in state) = 0.34869
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 19 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 20 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 20 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 20 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 21 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 21 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 21 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 22 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 22 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 22 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 23 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 23 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 23 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 24 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 24 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 24 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 25 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 25 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 148.81 max(relative change in state) = -
n_iter = 2 J = 112.49 max(relative change in state) = 1.5829
n_iter = 3 J = 100.42 max(relative change in state) = 1.0497
n_iter = 4 J = 102.79 max(relative change in state) = 1.3641
n_iter = 5 J = 99.883 max(relative change in state) = 0.95446
n_iter = 6 J = 99.747 max(relative change in state) = 0.67465E-01
n_iter = 7 J = 99.269 max(relative change in state) = 0.37425
n_iter = 8 J = 99.057 max(relative change in state) = 0.80721E-01
n_iter = 9 J = 99.022 max(relative change in state) = 0.28981
n_iter = 10 J = 98.966 max(relative change in state) = 0.77155E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 25 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 26 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 26 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 144.51 max(relative change in state) = -
n_iter = 2 J = 116.55 max(relative change in state) = 1.6248
n_iter = 3 J = 110.29 max(relative change in state) = 0.79878
n_iter = 4 J = 108.96 max(relative change in state) = 0.31373
n_iter = 5 J = 109.64 max(relative change in state) = 0.55425
n_iter = 6 J = 108.61 max(relative change in state) = 0.29722
n_iter = 7 J = 108.56 max(relative change in state) = 0.15316E-01
n_iter = 8 J = 108.28 max(relative change in state) = 0.21509
n_iter = 9 J = 108.54 max(relative change in state) = 0.43517
n_iter = 10 J = 108.23 max(relative change in state) = 0.31435
n_iter = 11 J = 108.21 max(relative change in state) = 0.15572E-01
n_iter = 12 J = 108.16 max(relative change in state) = 0.91557E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 26 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 27 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 27 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 120.18 max(relative change in state) = -
n_iter = 2 J = 101.72 max(relative change in state) = 0.87226
n_iter = 3 J = 82.074 max(relative change in state) = 1.2353
n_iter = 4 J = 86.541 max(relative change in state) = 1.5776
n_iter = 5 J = 81.343 max(relative change in state) = 1.2307
n_iter = 6 J = 81.087 max(relative change in state) = 0.70469E-01
n_iter = 7 J = 80.556 max(relative change in state) = 0.39021
n_iter = 8 J = 80.106 max(relative change in state) = 0.29503
n_iter = 9 J = 79.797 max(relative change in state) = 0.15617
n_iter = 10 J = 79.489 max(relative change in state) = 0.23795
n_iter = 11 J = 79.534 max(relative change in state) = 0.27491
n_iter = 12 J = 79.534 max(relative change in state) = 0.57635E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 27 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 28 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 28 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 114.36 max(relative change in state) = -
n_iter = 2 J = 93.950 max(relative change in state) = 0.61311
n_iter = 3 J = 54.198 max(relative change in state) = 2.2050
n_iter = 4 J = 52.706 max(relative change in state) = 0.32746
n_iter = 5 J = 55.027 max(relative change in state) = 0.71594
n_iter = 6 J = 52.430 max(relative change in state) = 0.58179
n_iter = 7 J = 52.358 max(relative change in state) = 0.25372E-01
n_iter = 8 J = 52.135 max(relative change in state) = 0.13255
n_iter = 9 J = 52.138 max(relative change in state) = 0.99317E-01
n_iter = 10 J = 52.099 max(relative change in state) = 0.49000E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 28 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 29 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 29 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 234.61 max(relative change in state) = -
n_iter = 2 J = 228.75 max(relative change in state) = 6.1592
n_iter = 3 J = 169.16 max(relative change in state) = 2.9601
n_iter = 4 J = 167.77 max(relative change in state) = 0.77313
n_iter = 5 J = 166.80 max(relative change in state) = 0.45192
n_iter = 6 J = 166.47 max(relative change in state) = 0.20987
n_iter = 7 J = 166.00 max(relative change in state) = 0.20571
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 29 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 30 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 30 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 216.62 max(relative change in state) = -
n_iter = 2 J = 194.73 max(relative change in state) = 5.7244
n_iter = 3 J = 160.86 max(relative change in state) = 2.6826
n_iter = 4 J = 159.60 max(relative change in state) = 0.20608
n_iter = 5 J = 160.72 max(relative change in state) = 0.49412
n_iter = 6 J = 158.34 max(relative change in state) = 0.35304
n_iter = 7 J = 157.97 max(relative change in state) = 0.89689E-01
n_iter = 8 J = 158.19 max(relative change in state) = 0.16595
n_iter = 9 J = 157.85 max(relative change in state) = 0.12733
n_iter = 10 J = 157.37 max(relative change in state) = 0.13732
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 30 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 31 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 31 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 117.38 max(relative change in state) = -
n_iter = 2 J = 98.269 max(relative change in state) = 0.86759
n_iter = 3 J = 80.653 max(relative change in state) = 1.7765
n_iter = 4 J = 79.796 max(relative change in state) = 0.61383
n_iter = 5 J = 78.662 max(relative change in state) = 0.29910
n_iter = 6 J = 78.516 max(relative change in state) = 0.18421
n_iter = 7 J = 78.394 max(relative change in state) = 0.15312
n_iter = 8 J = 78.236 max(relative change in state) = 0.82464E-01
n_iter = 9 J = 78.274 max(relative change in state) = 0.90482E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 31 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 32 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 32 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 130.75 max(relative change in state) = -
n_iter = 2 J = 108.01 max(relative change in state) = 0.72667
n_iter = 3 J = 65.195 max(relative change in state) = 2.2086
n_iter = 4 J = 63.808 max(relative change in state) = 0.26175
n_iter = 5 J = 65.996 max(relative change in state) = 0.40192
n_iter = 6 J = 63.408 max(relative change in state) = 0.22771
n_iter = 7 J = 63.349 max(relative change in state) = 0.19149E-01
n_iter = 8 J = 63.191 max(relative change in state) = 0.15001
n_iter = 9 J = 63.070 max(relative change in state) = 0.13846
n_iter = 10 J = 62.983 max(relative change in state) = 0.15171
n_iter = 11 J = 62.914 max(relative change in state) = 0.96246E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 32 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 33 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 33 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 93.335 max(relative change in state) = -
n_iter = 2 J = 77.366 max(relative change in state) = 0.65837
n_iter = 3 J = 54.706 max(relative change in state) = 1.5830
n_iter = 4 J = 53.210 max(relative change in state) = 0.30870
n_iter = 5 J = 55.391 max(relative change in state) = 0.65782
n_iter = 6 J = 52.779 max(relative change in state) = 0.47847
n_iter = 7 J = 52.681 max(relative change in state) = 0.26545E-01
n_iter = 8 J = 52.381 max(relative change in state) = 0.17222
n_iter = 9 J = 52.414 max(relative change in state) = 0.14415
n_iter = 10 J = 52.235 max(relative change in state) = 0.82962E-01
n_iter = 11 J = 52.192 max(relative change in state) = 0.21132E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 33 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 34 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 34 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 29.471 max(relative change in state) = -
n_iter = 2 J = 24.243 max(relative change in state) = 0.26216
n_iter = 3 J = 14.344 max(relative change in state) = 0.98826
n_iter = 4 J = 13.402 max(relative change in state) = 0.17362
n_iter = 5 J = 15.666 max(relative change in state) = 0.78473
n_iter = 6 J = 13.277 max(relative change in state) = 0.51897
n_iter = 7 J = 13.169 max(relative change in state) = 0.10735
n_iter = 8 J = 13.121 max(relative change in state) = 0.10596
n_iter = 9 J = 13.095 max(relative change in state) = 0.31201E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 34 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 35 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 35 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 100.38 max(relative change in state) = -
n_iter = 2 J = 83.331 max(relative change in state) = 0.67846
n_iter = 3 J = 59.866 max(relative change in state) = 2.1810
n_iter = 4 J = 58.963 max(relative change in state) = 0.44476
n_iter = 5 J = 58.273 max(relative change in state) = 0.31791
n_iter = 6 J = 58.183 max(relative change in state) = 0.37713E-01
n_iter = 7 J = 58.077 max(relative change in state) = 0.81573E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 35 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 36 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 36 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 94.965 max(relative change in state) = -
n_iter = 2 J = 78.680 max(relative change in state) = 0.66743
n_iter = 3 J = 56.615 max(relative change in state) = 1.3949
n_iter = 4 J = 57.781 max(relative change in state) = 1.3811
n_iter = 5 J = 54.893 max(relative change in state) = 0.82571
n_iter = 6 J = 54.688 max(relative change in state) = 0.20299
n_iter = 7 J = 54.505 max(relative change in state) = 0.23968
n_iter = 8 J = 54.290 max(relative change in state) = 0.10226
n_iter = 9 J = 54.089 max(relative change in state) = 0.56576
n_iter = 10 J = 53.843 max(relative change in state) = 0.38193
n_iter = 11 J = 53.793 max(relative change in state) = 0.62550E-01
n_iter = 12 J = 53.770 max(relative change in state) = 0.25784E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 36 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 37 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 37 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 74.906 max(relative change in state) = -
n_iter = 2 J = 61.570 max(relative change in state) = 0.47816
n_iter = 3 J = 34.924 max(relative change in state) = 1.8481
n_iter = 4 J = 33.059 max(relative change in state) = 0.40880
n_iter = 5 J = 34.095 max(relative change in state) = 0.62443
n_iter = 6 J = 32.476 max(relative change in state) = 0.34015
n_iter = 7 J = 32.411 max(relative change in state) = 0.17212E-01
n_iter = 8 J = 32.221 max(relative change in state) = 0.22311
n_iter = 9 J = 32.178 max(relative change in state) = 0.11056
n_iter = 10 J = 32.148 max(relative change in state) = 0.11600
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 37 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 38 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 38 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 70.873 max(relative change in state) = -
n_iter = 2 J = 59.169 max(relative change in state) = 0.62820
n_iter = 3 J = 42.501 max(relative change in state) = 2.2776
n_iter = 4 J = 41.348 max(relative change in state) = 0.60221
n_iter = 5 J = 41.568 max(relative change in state) = 0.89706
n_iter = 6 J = 40.884 max(relative change in state) = 0.39568
n_iter = 7 J = 40.835 max(relative change in state) = 0.21197E-01
n_iter = 8 J = 40.801 max(relative change in state) = 0.21363
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 38 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 39 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 39 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 149.08 max(relative change in state) = -
n_iter = 2 J = 106.78 max(relative change in state) = 1.1161
n_iter = 3 J = 61.995 max(relative change in state) = 3.4015
n_iter = 4 J = 61.652 max(relative change in state) = 0.74160
n_iter = 5 J = 60.605 max(relative change in state) = 0.39972
n_iter = 6 J = 60.446 max(relative change in state) = 0.21643
n_iter = 7 J = 60.286 max(relative change in state) = 0.18735
n_iter = 8 J = 60.140 max(relative change in state) = 0.81964E-01
n_iter = 9 J = 59.946 max(relative change in state) = 0.18972
n_iter = 10 J = 59.894 max(relative change in state) = 0.56783E-01
n_iter = 11 J = 59.872 max(relative change in state) = 0.39856E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 39 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 40 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 40 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 238.42 max(relative change in state) = -
n_iter = 2 J = 138.33 max(relative change in state) = 5.3890
n_iter = 3 J = 125.94 max(relative change in state) = 1.2229
n_iter = 4 J = 134.06 max(relative change in state) = 1.4867
n_iter = 5 J = 126.62 max(relative change in state) = 0.83399
n_iter = 6 J = 123.93 max(relative change in state) = 0.35344
n_iter = 7 J = 123.70 max(relative change in state) = 0.62236E-01
n_iter = 8 J = 122.58 max(relative change in state) = 0.58870
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 40 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 41 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 41 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 70.779 max(relative change in state) = -
n_iter = 2 J = 58.672 max(relative change in state) = 0.52871
n_iter = 3 J = 41.407 max(relative change in state) = 1.4630
n_iter = 4 J = 39.642 max(relative change in state) = 0.42088
n_iter = 5 J = 40.625 max(relative change in state) = 0.79551
n_iter = 6 J = 39.127 max(relative change in state) = 0.43537
n_iter = 7 J = 39.052 max(relative change in state) = 0.18878E-01
n_iter = 8 J = 38.780 max(relative change in state) = 0.23861
n_iter = 9 J = 38.728 max(relative change in state) = 0.20898
n_iter = 10 J = 38.659 max(relative change in state) = 0.15566
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 41 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 42 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 42 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 272.19 max(relative change in state) = -
n_iter = 2 J = 175.90 max(relative change in state) = 5.4732
n_iter = 3 J = 148.53 max(relative change in state) = 2.2678
n_iter = 4 J = 146.52 max(relative change in state) = 0.69110
n_iter = 5 J = 145.13 max(relative change in state) = 0.42658
n_iter = 6 J = 144.80 max(relative change in state) = 0.16237
n_iter = 7 J = 144.18 max(relative change in state) = 0.16892
n_iter = 8 J = 143.80 max(relative change in state) = 0.70242E-01
n_iter = 9 J = 143.49 max(relative change in state) = 0.17374
n_iter = 10 J = 143.36 max(relative change in state) = 0.10012
n_iter = 11 J = 143.30 max(relative change in state) = 0.92883E-01
n_iter = 12 J = 143.26 max(relative change in state) = 0.62898E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 42 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 43 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 43 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.709 max(relative change in state) = -
n_iter = 2 J = 58.739 max(relative change in state) = 0.48522
n_iter = 3 J = 31.083 max(relative change in state) = 2.2300
n_iter = 4 J = 30.226 max(relative change in state) = 0.28728
n_iter = 5 J = 29.931 max(relative change in state) = 0.47490
n_iter = 6 J = 29.665 max(relative change in state) = 0.11364
n_iter = 7 J = 29.637 max(relative change in state) = 0.22161E-01
n_iter = 8 J = 29.586 max(relative change in state) = 0.11011
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 43 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 44 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 44 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 85.948 max(relative change in state) = -
n_iter = 2 J = 71.923 max(relative change in state) = 0.67413
n_iter = 3 J = 57.011 max(relative change in state) = 1.4029
n_iter = 4 J = 57.634 max(relative change in state) = 0.90701
n_iter = 5 J = 56.124 max(relative change in state) = 0.55019
n_iter = 6 J = 55.996 max(relative change in state) = 0.15213
n_iter = 7 J = 55.909 max(relative change in state) = 0.16476
n_iter = 8 J = 55.793 max(relative change in state) = 0.81126E-01
n_iter = 9 J = 55.547 max(relative change in state) = 0.26501
n_iter = 10 J = 55.529 max(relative change in state) = 0.17784
n_iter = 11 J = 55.435 max(relative change in state) = 0.47427E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 44 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 45 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 45 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 77.496 max(relative change in state) = -
n_iter = 2 J = 63.938 max(relative change in state) = 0.46996
n_iter = 3 J = 38.376 max(relative change in state) = 1.9046
n_iter = 4 J = 46.538 max(relative change in state) = 2.2376
n_iter = 5 J = 37.660 max(relative change in state) = 1.7841
n_iter = 6 J = 37.468 max(relative change in state) = 0.33898E-01
n_iter = 7 J = 36.736 max(relative change in state) = 0.41070
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 45 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 46 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 46 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 222.81 max(relative change in state) = -
n_iter = 2 J = 102.00 max(relative change in state) = 3.5470
n_iter = 3 J = 85.143 max(relative change in state) = 1.5725
n_iter = 4 J = 86.226 max(relative change in state) = 1.1854
n_iter = 5 J = 82.857 max(relative change in state) = 0.74297
n_iter = 6 J = 82.667 max(relative change in state) = 0.19973
n_iter = 7 J = 82.536 max(relative change in state) = 0.17627
n_iter = 8 J = 82.317 max(relative change in state) = 0.14517
n_iter = 9 J = 81.817 max(relative change in state) = 0.25432
n_iter = 10 J = 81.995 max(relative change in state) = 0.11868
n_iter = 11 J = 81.703 max(relative change in state) = 0.64395E-01
n_iter = 12 J = 81.680 max(relative change in state) = 0.12120E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 46 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 47 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 47 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 175.00 max(relative change in state) = -
n_iter = 2 J = 128.23 max(relative change in state) = 3.0749
n_iter = 3 J = 119.91 max(relative change in state) = 0.95679
n_iter = 4 J = 119.71 max(relative change in state) = 0.70278
n_iter = 5 J = 118.21 max(relative change in state) = 0.35265
n_iter = 6 J = 117.99 max(relative change in state) = 0.21195
n_iter = 7 J = 117.89 max(relative change in state) = 0.91346E-01
n_iter = 8 J = 117.53 max(relative change in state) = 0.15649
n_iter = 9 J = 117.35 max(relative change in state) = 0.32868
n_iter = 10 J = 117.24 max(relative change in state) = 0.47664E-01
n_iter = 11 J = 117.17 max(relative change in state) = 0.10504
n_iter = 12 J = 117.14 max(relative change in state) = 0.79651E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 47 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 48 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 48 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 60.568 max(relative change in state) = -
n_iter = 2 J = 50.715 max(relative change in state) = 0.62558
n_iter = 3 J = 41.868 max(relative change in state) = 1.0401
n_iter = 4 J = 42.906 max(relative change in state) = 0.91013
n_iter = 5 J = 41.556 max(relative change in state) = 0.65013
n_iter = 6 J = 41.495 max(relative change in state) = 0.64805E-01
n_iter = 7 J = 41.343 max(relative change in state) = 0.21694
n_iter = 8 J = 41.251 max(relative change in state) = 0.10426
n_iter = 9 J = 41.325 max(relative change in state) = 0.28131
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 48 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 49 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 49 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 99.570 max(relative change in state) = -
n_iter = 2 J = 84.023 max(relative change in state) = 0.80441
n_iter = 3 J = 73.567 max(relative change in state) = 1.2554
n_iter = 4 J = 73.642 max(relative change in state) = 0.81894
n_iter = 5 J = 72.504 max(relative change in state) = 0.46496
n_iter = 6 J = 72.414 max(relative change in state) = 0.17486
n_iter = 7 J = 72.364 max(relative change in state) = 0.10933
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 49 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 50 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 50 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 140.03 max(relative change in state) = -
n_iter = 2 J = 112.10 max(relative change in state) = 0.94367
n_iter = 3 J = 76.067 max(relative change in state) = 2.3151
n_iter = 4 J = 71.924 max(relative change in state) = 1.0307
n_iter = 5 J = 73.962 max(relative change in state) = 1.1045
n_iter = 6 J = 71.449 max(relative change in state) = 0.73809
n_iter = 7 J = 71.345 max(relative change in state) = 0.29204E-01
n_iter = 8 J = 71.106 max(relative change in state) = 0.11990
n_iter = 9 J = 71.228 max(relative change in state) = 0.17277
n_iter = 10 J = 70.955 max(relative change in state) = 0.10869
n_iter = 11 J = 70.915 max(relative change in state) = 0.18953E-01
n_iter = 12 J = 70.884 max(relative change in state) = 0.92345E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 50 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 51 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 51 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 51 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 52 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 52 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 65.503 max(relative change in state) = -
n_iter = 2 J = 54.056 max(relative change in state) = 0.44665
n_iter = 3 J = 36.779 max(relative change in state) = 1.6108
n_iter = 4 J = 46.911 max(relative change in state) = 2.6638
n_iter = 5 J = 36.450 max(relative change in state) = 2.2580
n_iter = 6 J = 36.392 max(relative change in state) = 0.21739E-01
n_iter = 7 J = 36.218 max(relative change in state) = 0.25251
n_iter = 8 J = 36.362 max(relative change in state) = 0.25079
n_iter = 9 J = 36.074 max(relative change in state) = 0.16170
n_iter = 10 J = 36.058 max(relative change in state) = 0.16707E-01
n_iter = 11 J = 36.047 max(relative change in state) = 0.14820
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 52 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 53 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 53 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 53.043 max(relative change in state) = -
n_iter = 2 J = 44.299 max(relative change in state) = 0.48148
n_iter = 3 J = 35.847 max(relative change in state) = 1.0290
n_iter = 4 J = 35.852 max(relative change in state) = 0.28666
n_iter = 5 J = 35.343 max(relative change in state) = 0.17944
n_iter = 6 J = 35.306 max(relative change in state) = 0.65005E-01
n_iter = 7 J = 35.295 max(relative change in state) = 0.19566E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 53 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 54 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 54 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 413.97 max(relative change in state) = -
n_iter = 2 J = 337.90 max(relative change in state) = 10.633
n_iter = 3 J = 226.74 max(relative change in state) = 4.6216
n_iter = 4 J = 220.87 max(relative change in state) = 0.60580
n_iter = 5 J = 220.94 max(relative change in state) = 1.0233
n_iter = 6 J = 216.36 max(relative change in state) = 0.47296
n_iter = 7 J = 216.00 max(relative change in state) = 0.10742
n_iter = 8 J = 215.48 max(relative change in state) = 0.46645
n_iter = 9 J = 215.32 max(relative change in state) = 0.21977
n_iter = 10 J = 215.10 max(relative change in state) = 0.10130
n_iter = 11 J = 215.02 max(relative change in state) = 0.34465E-01
n_iter = 12 J = 214.79 max(relative change in state) = 0.12725
n_iter = 13 J = 214.70 max(relative change in state) = 0.24754
n_iter = 14 J = 214.47 max(relative change in state) = 0.84319E-01
n_iter = 15 J = 214.41 max(relative change in state) = 0.50715E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 54 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 55 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 55 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 336.98 max(relative change in state) = -
n_iter = 2 J = 1014.3 max(relative change in state) = 11.956
n_iter = 3 J = 286.04 max(relative change in state) = 10.109
n_iter = 4 J = 294.44 max(relative change in state) = 2.2589
n_iter = 5 J = 284.62 max(relative change in state) = 1.6594
n_iter = 6 J = 284.23 max(relative change in state) = 0.52336E-01
n_iter = 7 J = 281.78 max(relative change in state) = 0.40129
n_iter = 8 J = 282.25 max(relative change in state) = 0.78576
n_iter = 9 J = 281.33 max(relative change in state) = 0.46885
n_iter = 10 J = 281.26 max(relative change in state) = 0.84503E-01
n_iter = 11 J = 281.12 max(relative change in state) = 0.16822
n_iter = 12 J = 281.04 max(relative change in state) = 0.13758
n_iter = 13 J = 281.02 max(relative change in state) = 0.44750E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 55 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 56 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 56 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 153.69 max(relative change in state) = -
n_iter = 2 J = 105.94 max(relative change in state) = 1.1862
n_iter = 3 J = 76.200 max(relative change in state) = 1.9667
n_iter = 4 J = 81.004 max(relative change in state) = 1.3975
n_iter = 5 J = 75.432 max(relative change in state) = 1.0728
n_iter = 6 J = 75.303 max(relative change in state) = 0.55003E-01
n_iter = 7 J = 74.937 max(relative change in state) = 0.19354
n_iter = 8 J = 74.824 max(relative change in state) = 0.18321
n_iter = 9 J = 74.741 max(relative change in state) = 0.46366E-01
n_iter = 10 J = 74.704 max(relative change in state) = 0.41641E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 56 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 57 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 57 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 141.02 max(relative change in state) = -
n_iter = 2 J = 110.55 max(relative change in state) = 0.83333
n_iter = 3 J = 68.649 max(relative change in state) = 2.7478
n_iter = 4 J = 67.207 max(relative change in state) = 0.40951
n_iter = 5 J = 66.229 max(relative change in state) = 0.34637
n_iter = 6 J = 66.006 max(relative change in state) = 0.16684
n_iter = 7 J = 65.900 max(relative change in state) = 0.60647E-01
n_iter = 8 J = 65.753 max(relative change in state) = 0.25957
n_iter = 9 J = 65.739 max(relative change in state) = 0.16137
n_iter = 10 J = 65.682 max(relative change in state) = 0.90992E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 57 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 58 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 58 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 42.859 max(relative change in state) = -
n_iter = 2 J = 35.883 max(relative change in state) = 0.52583
n_iter = 3 J = 29.533 max(relative change in state) = 1.2661
n_iter = 4 J = 29.530 max(relative change in state) = 0.40990
n_iter = 5 J = 29.046 max(relative change in state) = 0.22854
n_iter = 6 J = 29.010 max(relative change in state) = 0.95174E-01
n_iter = 7 J = 28.998 max(relative change in state) = 0.42105E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 58 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 59 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 59 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 107.64 max(relative change in state) = -
n_iter = 2 J = 89.610 max(relative change in state) = 0.64571
n_iter = 3 J = 59.406 max(relative change in state) = 2.4280
n_iter = 4 J = 60.840 max(relative change in state) = 1.3600
n_iter = 5 J = 58.127 max(relative change in state) = 0.93293
n_iter = 6 J = 57.910 max(relative change in state) = 0.22110
n_iter = 7 J = 57.519 max(relative change in state) = 0.23903
n_iter = 8 J = 56.971 max(relative change in state) = 0.39225
n_iter = 9 J = 57.394 max(relative change in state) = 0.41431
n_iter = 10 J = 56.602 max(relative change in state) = 0.15488
n_iter = 11 J = 56.565 max(relative change in state) = 0.62636E-01
n_iter = 12 J = 56.515 max(relative change in state) = 0.10294
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 59 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 60 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 60 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 92.401 max(relative change in state) = -
n_iter = 2 J = 77.300 max(relative change in state) = 0.77890
n_iter = 3 J = 49.897 max(relative change in state) = 3.2034
n_iter = 4 J = 55.757 max(relative change in state) = 1.8637
n_iter = 5 J = 49.020 max(relative change in state) = 1.4483
n_iter = 6 J = 48.819 max(relative change in state) = 0.12903
n_iter = 7 J = 48.724 max(relative change in state) = 0.37905
n_iter = 8 J = 48.453 max(relative change in state) = 0.16259
n_iter = 9 J = 48.445 max(relative change in state) = 0.36273
n_iter = 10 J = 48.204 max(relative change in state) = 0.16881
n_iter = 11 J = 48.257 max(relative change in state) = 0.26696
n_iter = 12 J = 48.062 max(relative change in state) = 0.18933
n_iter = 13 J = 47.957 max(relative change in state) = 0.19868
n_iter = 14 J = 47.765 max(relative change in state) = 0.15903
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 60 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 61 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 61 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 77.212 max(relative change in state) = -
n_iter = 2 J = 63.470 max(relative change in state) = 0.46282
n_iter = 3 J = 40.085 max(relative change in state) = 1.9179
n_iter = 4 J = 39.698 max(relative change in state) = 0.16006
n_iter = 5 J = 39.733 max(relative change in state) = 0.18552
n_iter = 6 J = 39.542 max(relative change in state) = 0.73266E-01
n_iter = 7 J = 39.525 max(relative change in state) = 0.17118E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 61 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 62 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 62 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 62 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 63 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 63 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 32.250 max(relative change in state) = -
n_iter = 2 J = 26.488 max(relative change in state) = 0.37914
n_iter = 3 J = 15.816 max(relative change in state) = 1.4877
n_iter = 4 J = 15.513 max(relative change in state) = 0.12804
n_iter = 5 J = 15.980 max(relative change in state) = 0.76294
n_iter = 6 J = 15.377 max(relative change in state) = 0.62676
n_iter = 7 J = 15.363 max(relative change in state) = 0.34971E-01
n_iter = 8 J = 15.345 max(relative change in state) = 0.97151E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 63 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 64 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 64 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 98.953 max(relative change in state) = -
n_iter = 2 J = 81.888 max(relative change in state) = 0.89754
n_iter = 3 J = 59.567 max(relative change in state) = 2.7337
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 64 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 65 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 65 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 105.59 max(relative change in state) = -
n_iter = 2 J = 89.800 max(relative change in state) = 0.87413
n_iter = 3 J = 77.814 max(relative change in state) = 1.9377
n_iter = 4 J = 76.852 max(relative change in state) = 0.49173
n_iter = 5 J = 76.594 max(relative change in state) = 0.54602
n_iter = 6 J = 76.230 max(relative change in state) = 0.11972
n_iter = 7 J = 76.158 max(relative change in state) = 0.25816E-01
n_iter = 8 J = 75.958 max(relative change in state) = 0.13174
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 65 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 66 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 66 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 435.64 max(relative change in state) = -
n_iter = 2 J = 236.22 max(relative change in state) = 8.9074
n_iter = 3 J = 187.35 max(relative change in state) = 2.6740
n_iter = 4 J = 186.35 max(relative change in state) = 1.3983
n_iter = 5 J = 182.33 max(relative change in state) = 0.68380
n_iter = 6 J = 181.71 max(relative change in state) = 0.40691
n_iter = 7 J = 181.31 max(relative change in state) = 0.24884
n_iter = 8 J = 180.32 max(relative change in state) = 0.20607
n_iter = 9 J = 179.92 max(relative change in state) = 0.28547
n_iter = 10 J = 179.78 max(relative change in state) = 0.11392
n_iter = 11 J = 179.73 max(relative change in state) = 0.50460E-01
n_iter = 12 J = 179.59 max(relative change in state) = 0.11029
n_iter = 13 J = 179.58 max(relative change in state) = 0.93157E-01
n_iter = 14 J = 179.55 max(relative change in state) = 0.28033E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 66 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 67 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 67 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 67 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 68 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 68 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 109.65 max(relative change in state) = -
n_iter = 2 J = 90.019 max(relative change in state) = 0.70980
n_iter = 3 J = 53.011 max(relative change in state) = 3.0639
n_iter = 4 J = 52.529 max(relative change in state) = 0.25015
n_iter = 5 J = 52.837 max(relative change in state) = 0.27580
n_iter = 6 J = 52.408 max(relative change in state) = 0.17325
n_iter = 7 J = 52.393 max(relative change in state) = 0.11966E-01
n_iter = 8 J = 52.352 max(relative change in state) = 0.12381
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 68 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 69 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 69 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 234.35 max(relative change in state) = -
n_iter = 2 J = 144.62 max(relative change in state) = 4.1100
n_iter = 3 J = 125.63 max(relative change in state) = 1.3745
n_iter = 4 J = 128.87 max(relative change in state) = 1.7800
n_iter = 5 J = 123.47 max(relative change in state) = 1.1255
n_iter = 6 J = 123.20 max(relative change in state) = 0.15606
n_iter = 7 J = 122.67 max(relative change in state) = 0.39470
n_iter = 8 J = 122.22 max(relative change in state) = 0.12101
n_iter = 9 J = 122.75 max(relative change in state) = 1.0247
n_iter = 10 J = 121.89 max(relative change in state) = 0.62285
n_iter = 11 J = 121.85 max(relative change in state) = 0.14032
n_iter = 12 J = 121.83 max(relative change in state) = 0.36433E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 69 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 70 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 70 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 131.44 max(relative change in state) = -
n_iter = 2 J = 108.53 max(relative change in state) = 0.64638
n_iter = 3 J = 73.508 max(relative change in state) = 2.3167
n_iter = 4 J = 76.625 max(relative change in state) = 1.3335
n_iter = 5 J = 72.618 max(relative change in state) = 0.97476
n_iter = 6 J = 72.458 max(relative change in state) = 0.87998E-01
n_iter = 7 J = 72.023 max(relative change in state) = 0.31753
n_iter = 8 J = 71.798 max(relative change in state) = 0.10791
n_iter = 9 J = 71.752 max(relative change in state) = 0.28420
n_iter = 10 J = 71.664 max(relative change in state) = 0.69693E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 70 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 71 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 71 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 192.52 max(relative change in state) = -
n_iter = 2 J = 102.52 max(relative change in state) = 3.2210
n_iter = 3 J = 83.371 max(relative change in state) = 1.2379
n_iter = 4 J = 79.897 max(relative change in state) = 0.56165
n_iter = 5 J = 84.552 max(relative change in state) = 0.87558
n_iter = 6 J = 79.359 max(relative change in state) = 0.64107
n_iter = 7 J = 79.284 max(relative change in state) = 0.18491E-01
n_iter = 8 J = 78.912 max(relative change in state) = 0.22768
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 71 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 72 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 72 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 162.10 max(relative change in state) = -
n_iter = 2 J = 110.16 max(relative change in state) = 2.1848
n_iter = 3 J = 92.786 max(relative change in state) = 1.1729
n_iter = 4 J = 109.47 max(relative change in state) = 2.9107
n_iter = 5 J = 92.005 max(relative change in state) = 2.4810
n_iter = 6 J = 91.739 max(relative change in state) = 0.32684E-01
n_iter = 7 J = 91.260 max(relative change in state) = 0.37139
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 72 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 73 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 73 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 42.244 max(relative change in state) = -
n_iter = 2 J = 34.864 max(relative change in state) = 0.55309
n_iter = 3 J = 23.275 max(relative change in state) = 1.8116
n_iter = 4 J = 23.576 max(relative change in state) = 0.62514
n_iter = 5 J = 22.729 max(relative change in state) = 0.37153
n_iter = 6 J = 22.664 max(relative change in state) = 0.10848
n_iter = 7 J = 22.623 max(relative change in state) = 0.99128E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 73 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 74 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 74 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 196.98 max(relative change in state) = -
n_iter = 2 J = 123.31 max(relative change in state) = 3.9832
n_iter = 3 J = 116.51 max(relative change in state) = 0.98601
n_iter = 4 J = 115.01 max(relative change in state) = 0.45763
n_iter = 5 J = 114.96 max(relative change in state) = 0.56801
n_iter = 6 J = 114.35 max(relative change in state) = 0.16620
n_iter = 7 J = 114.32 max(relative change in state) = 0.13382E-01
n_iter = 8 J = 114.14 max(relative change in state) = 0.14752
n_iter = 9 J = 114.05 max(relative change in state) = 0.15124
n_iter = 10 J = 113.97 max(relative change in state) = 0.12526
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 74 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 75 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 75 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 227.82 max(relative change in state) = -
n_iter = 2 J = 148.07 max(relative change in state) = 4.8792
n_iter = 3 J = 130.39 max(relative change in state) = 1.0616
n_iter = 4 J = 125.06 max(relative change in state) = 0.78975
n_iter = 5 J = 125.63 max(relative change in state) = 0.98731
n_iter = 6 J = 123.03 max(relative change in state) = 0.36270
n_iter = 7 J = 122.79 max(relative change in state) = 0.61578E-01
n_iter = 8 J = 122.32 max(relative change in state) = 0.31348
n_iter = 9 J = 122.40 max(relative change in state) = 0.99295E-01
n_iter = 10 J = 122.09 max(relative change in state) = 0.63471E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 75 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 76 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 76 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.628 max(relative change in state) = -
n_iter = 2 J = 67.136 max(relative change in state) = 0.51253
n_iter = 3 J = 50.393 max(relative change in state) = 1.4645
n_iter = 4 J = 50.385 max(relative change in state) = 0.70228
n_iter = 5 J = 49.231 max(relative change in state) = 0.45054
n_iter = 6 J = 49.181 max(relative change in state) = 0.12380
n_iter = 7 J = 49.148 max(relative change in state) = 0.97936E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 76 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 77 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 77 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 305.62 max(relative change in state) = -
n_iter = 2 J = 210.57 max(relative change in state) = 6.6494
n_iter = 3 J = 160.26 max(relative change in state) = 2.4202
n_iter = 4 J = 155.03 max(relative change in state) = 0.95147
n_iter = 5 J = 151.60 max(relative change in state) = 1.0601
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 77 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 78 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 78 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 131.29 max(relative change in state) = -
n_iter = 2 J = 108.11 max(relative change in state) = 0.75750
n_iter = 3 J = 72.166 max(relative change in state) = 2.6275
n_iter = 4 J = 66.730 max(relative change in state) = 0.61268
n_iter = 5 J = 75.135 max(relative change in state) = 1.1646
n_iter = 6 J = 65.847 max(relative change in state) = 0.93741
n_iter = 7 J = 65.553 max(relative change in state) = 0.31383E-01
n_iter = 8 J = 63.287 max(relative change in state) = 0.50135
n_iter = 9 J = 62.758 max(relative change in state) = 0.23921
n_iter = 10 J = 62.668 max(relative change in state) = 0.11801
n_iter = 11 J = 62.862 max(relative change in state) = 0.10302
n_iter = 12 J = 62.647 max(relative change in state) = 0.71689E-01
n_iter = 13 J = 62.644 max(relative change in state) = 0.75415E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 78 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 79 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 79 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 38.505 max(relative change in state) = -
n_iter = 2 J = 32.787 max(relative change in state) = 0.44811
n_iter = 3 J = 28.346 max(relative change in state) = 0.75999
n_iter = 4 J = 27.364 max(relative change in state) = 0.64029
n_iter = 5 J = 27.690 max(relative change in state) = 0.21416
n_iter = 6 J = 27.157 max(relative change in state) = 0.84397E-01
n_iter = 7 J = 27.141 max(relative change in state) = 0.26575E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 79 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 80 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 80 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 138.11 max(relative change in state) = -
n_iter = 2 J = 115.64 max(relative change in state) = 1.0036
n_iter = 3 J = 94.138 max(relative change in state) = 1.7014
n_iter = 4 J = 101.13 max(relative change in state) = 2.2565
n_iter = 5 J = 93.095 max(relative change in state) = 1.7426
n_iter = 6 J = 92.840 max(relative change in state) = 0.10675
n_iter = 7 J = 92.231 max(relative change in state) = 0.47981
n_iter = 8 J = 92.032 max(relative change in state) = 0.40304
n_iter = 9 J = 91.908 max(relative change in state) = 0.46535E-01
n_iter = 10 J = 91.944 max(relative change in state) = 0.24048
n_iter = 11 J = 91.836 max(relative change in state) = 0.13197
n_iter = 12 J = 91.739 max(relative change in state) = 0.91323E-01
n_iter = 13 J = 91.600 max(relative change in state) = 0.10994
n_iter = 14 J = 91.518 max(relative change in state) = 0.15332
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 80 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 81 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 81 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 76.963 max(relative change in state) = -
n_iter = 2 J = 63.763 max(relative change in state) = 0.73983
n_iter = 3 J = 40.772 max(relative change in state) = 2.9074
n_iter = 4 J = 51.085 max(relative change in state) = 2.5966
n_iter = 5 J = 40.083 max(relative change in state) = 2.1506
n_iter = 6 J = 39.943 max(relative change in state) = 0.61465E-01
n_iter = 7 J = 39.657 max(relative change in state) = 0.20485
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 81 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 82 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 82 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.61 max(relative change in state) = -
n_iter = 2 J = 90.404 max(relative change in state) = 0.65991
n_iter = 3 J = 68.966 max(relative change in state) = 2.4557
n_iter = 4 J = 71.285 max(relative change in state) = 1.5036
n_iter = 5 J = 67.607 max(relative change in state) = 1.1536
n_iter = 6 J = 67.457 max(relative change in state) = 0.11842
n_iter = 7 J = 67.110 max(relative change in state) = 0.40491
n_iter = 8 J = 66.914 max(relative change in state) = 0.26040
n_iter = 9 J = 66.832 max(relative change in state) = 0.15952
n_iter = 10 J = 66.964 max(relative change in state) = 0.69608E-01
n_iter = 11 J = 66.861 max(relative change in state) = 0.16438
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 82 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 83 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 83 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.076 max(relative change in state) = -
n_iter = 2 J = 66.256 max(relative change in state) = 0.54032
n_iter = 3 J = 44.691 max(relative change in state) = 1.4921
n_iter = 4 J = 47.272 max(relative change in state) = 1.6221
n_iter = 5 J = 43.072 max(relative change in state) = 1.0455
n_iter = 6 J = 42.835 max(relative change in state) = 0.15494
n_iter = 7 J = 42.434 max(relative change in state) = 0.36264
n_iter = 8 J = 42.104 max(relative change in state) = 0.11648
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 83 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 84 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 84 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 14 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 176.89 max(relative change in state) = -
n_iter = 2 J = 134.75 max(relative change in state) = 2.6215
n_iter = 3 J = 123.86 max(relative change in state) = 0.96771
n_iter = 4 J = 121.83 max(relative change in state) = 0.47830
n_iter = 5 J = 121.91 max(relative change in state) = 0.64785
n_iter = 6 J = 120.90 max(relative change in state) = 0.23477
n_iter = 7 J = 120.73 max(relative change in state) = 0.45670E-01
n_iter = 8 J = 120.65 max(relative change in state) = 0.19843
n_iter = 9 J = 120.46 max(relative change in state) = 0.71908E-01
n_iter = 10 J = 120.30 max(relative change in state) = 0.12025
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 84 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 85 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 85 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 96.652 max(relative change in state) = -
n_iter = 2 J = 81.814 max(relative change in state) = 0.69215
n_iter = 3 J = 60.296 max(relative change in state) = 2.3454
n_iter = 4 J = 59.957 max(relative change in state) = 0.27890
n_iter = 5 J = 59.396 max(relative change in state) = 0.25413
n_iter = 6 J = 59.163 max(relative change in state) = 0.44170E-01
n_iter = 7 J = 59.018 max(relative change in state) = 0.17144
n_iter = 8 J = 58.900 max(relative change in state) = 0.65919E-01
n_iter = 9 J = 58.839 max(relative change in state) = 0.75505E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 85 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 86 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 86 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 197.83 max(relative change in state) = -
n_iter = 2 J = 177.33 max(relative change in state) = 4.4345
n_iter = 3 J = 148.54 max(relative change in state) = 2.0607
n_iter = 4 J = 151.48 max(relative change in state) = 1.6365
n_iter = 5 J = 147.52 max(relative change in state) = 1.1123
n_iter = 6 J = 147.29 max(relative change in state) = 0.94393E-01
n_iter = 7 J = 146.28 max(relative change in state) = 0.46194
n_iter = 8 J = 145.70 max(relative change in state) = 0.23048
n_iter = 9 J = 145.62 max(relative change in state) = 0.19618
n_iter = 10 J = 145.49 max(relative change in state) = 0.55781E-01
n_iter = 11 J = 145.44 max(relative change in state) = 0.55078E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 86 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 87 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 87 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 298.08 max(relative change in state) = -
n_iter = 2 J = 267.46 max(relative change in state) = 7.9403
n_iter = 3 J = 193.69 max(relative change in state) = 3.7719
n_iter = 4 J = 191.52 max(relative change in state) = 0.39811
n_iter = 5 J = 191.57 max(relative change in state) = 1.2141
n_iter = 6 J = 190.10 max(relative change in state) = 0.85624
n_iter = 7 J = 190.00 max(relative change in state) = 0.18517
n_iter = 8 J = 189.91 max(relative change in state) = 0.74777E-01
n_iter = 9 J = 189.81 max(relative change in state) = 0.98327E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 87 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 88 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 88 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 62.875 max(relative change in state) = -
n_iter = 2 J = 52.695 max(relative change in state) = 0.56593
n_iter = 3 J = 39.896 max(relative change in state) = 1.6517
n_iter = 4 J = 48.400 max(relative change in state) = 2.0643
n_iter = 5 J = 39.291 max(relative change in state) = 1.7064
n_iter = 6 J = 39.092 max(relative change in state) = 0.40264E-01
n_iter = 7 J = 38.728 max(relative change in state) = 0.29745
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 88 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 89 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 89 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 151.36 max(relative change in state) = -
n_iter = 2 J = 107.32 max(relative change in state) = 1.3193
n_iter = 3 J = 80.355 max(relative change in state) = 1.9885
n_iter = 4 J = 79.781 max(relative change in state) = 0.61126
n_iter = 5 J = 78.783 max(relative change in state) = 0.37048
n_iter = 6 J = 78.542 max(relative change in state) = 0.17098
n_iter = 7 J = 78.055 max(relative change in state) = 0.29995
n_iter = 8 J = 77.787 max(relative change in state) = 0.24605
n_iter = 9 J = 77.674 max(relative change in state) = 0.78833E-01
n_iter = 10 J = 77.824 max(relative change in state) = 0.22924
n_iter = 11 J = 77.595 max(relative change in state) = 0.16080
n_iter = 12 J = 77.557 max(relative change in state) = 0.26488E-01
n_iter = 13 J = 77.729 max(relative change in state) = 0.17977
n_iter = 14 J = 77.516 max(relative change in state) = 0.15466
n_iter = 15 J = 77.490 max(relative change in state) = 0.34808E-01
n_iter = 16 J = 77.656 max(relative change in state) = 0.24489
n_iter = 17 J = 77.459 max(relative change in state) = 0.21496
n_iter = 18 J = 77.442 max(relative change in state) = 0.22507E-01
n_iter = 19 J = 77.396 max(relative change in state) = 0.85645E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 19.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 89 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 90 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 90 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 290.14 max(relative change in state) = -
n_iter = 2 J = 136.21 max(relative change in state) = 6.6402
n_iter = 3 J = 123.65 max(relative change in state) = 0.91491
n_iter = 4 J = 118.97 max(relative change in state) = 1.1707
n_iter = 5 J = 118.25 max(relative change in state) = 1.1820
n_iter = 6 J = 116.82 max(relative change in state) = 0.26589
n_iter = 7 J = 116.67 max(relative change in state) = 0.56652E-01
n_iter = 8 J = 116.41 max(relative change in state) = 0.22607
n_iter = 9 J = 116.37 max(relative change in state) = 0.16392
n_iter = 10 J = 116.31 max(relative change in state) = 0.33456E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 90 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 91 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 91 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 207.45 max(relative change in state) = -
n_iter = 2 J = 159.39 max(relative change in state) = 4.6787
n_iter = 3 J = 139.56 max(relative change in state) = 1.5901
n_iter = 4 J = 140.31 max(relative change in state) = 1.2207
n_iter = 5 J = 137.78 max(relative change in state) = 0.69061
n_iter = 6 J = 137.53 max(relative change in state) = 0.20609
n_iter = 7 J = 137.22 max(relative change in state) = 0.26067
n_iter = 8 J = 136.61 max(relative change in state) = 0.20134
n_iter = 9 J = 136.10 max(relative change in state) = 0.85237
n_iter = 10 J = 135.64 max(relative change in state) = 0.60115
n_iter = 11 J = 135.56 max(relative change in state) = 0.29850E-01
n_iter = 12 J = 135.54 max(relative change in state) = 0.40661E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 91 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 92 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 92 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 250.35 max(relative change in state) = -
n_iter = 2 J = 123.04 max(relative change in state) = 4.6359
n_iter = 3 J = 113.82 max(relative change in state) = 1.1931
n_iter = 4 J = 112.96 max(relative change in state) = 0.38270
n_iter = 5 J = 112.60 max(relative change in state) = 0.29408
n_iter = 6 J = 112.45 max(relative change in state) = 0.75433E-01
n_iter = 7 J = 112.42 max(relative change in state) = 0.34169E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 92 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 93 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 93 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 197.38 max(relative change in state) = -
n_iter = 2 J = 126.51 max(relative change in state) = 3.4085
n_iter = 3 J = 115.53 max(relative change in state) = 1.2554
n_iter = 4 J = 120.32 max(relative change in state) = 1.2638
n_iter = 5 J = 114.49 max(relative change in state) = 0.97701
n_iter = 6 J = 114.24 max(relative change in state) = 0.76427E-01
n_iter = 7 J = 113.67 max(relative change in state) = 0.30558
n_iter = 8 J = 113.27 max(relative change in state) = 0.14238
n_iter = 9 J = 112.91 max(relative change in state) = 0.42393
n_iter = 10 J = 112.62 max(relative change in state) = 0.89891E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 93 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 94 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 94 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 189.27 max(relative change in state) = -
n_iter = 2 J = 126.53 max(relative change in state) = 3.5682
n_iter = 3 J = 118.32 max(relative change in state) = 0.54935
n_iter = 4 J = 113.86 max(relative change in state) = 0.67437
n_iter = 5 J = 119.46 max(relative change in state) = 2.3389
n_iter = 6 J = 113.59 max(relative change in state) = 1.9693
n_iter = 7 J = 113.55 max(relative change in state) = 0.40529E-01
n_iter = 8 J = 113.42 max(relative change in state) = 0.11927
n_iter = 9 J = 113.39 max(relative change in state) = 0.19134
n_iter = 10 J = 113.36 max(relative change in state) = 0.82489E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 94 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 95 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 95 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 95 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 96 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 96 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 196.96 max(relative change in state) = -
n_iter = 2 J = 136.99 max(relative change in state) = 3.1699
n_iter = 3 J = 125.95 max(relative change in state) = 1.1339
n_iter = 4 J = 124.03 max(relative change in state) = 0.24784
n_iter = 5 J = 124.68 max(relative change in state) = 0.41760
n_iter = 6 J = 123.10 max(relative change in state) = 0.25814
n_iter = 7 J = 123.06 max(relative change in state) = 0.19219E-01
n_iter = 8 J = 122.88 max(relative change in state) = 0.15858
n_iter = 9 J = 122.87 max(relative change in state) = 0.25275
n_iter = 10 J = 122.82 max(relative change in state) = 0.14043
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 96 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 97 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 97 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 283.18 max(relative change in state) = -
n_iter = 2 J = 129.11 max(relative change in state) = 8.8263
n_iter = 3 J = 118.88 max(relative change in state) = 1.4165
n_iter = 4 J = 118.43 max(relative change in state) = 0.98563
n_iter = 5 J = 117.10 max(relative change in state) = 0.52456
n_iter = 6 J = 116.84 max(relative change in state) = 0.29423
n_iter = 7 J = 116.51 max(relative change in state) = 0.24410
n_iter = 8 J = 115.94 max(relative change in state) = 0.39080
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 97 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 98 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 98 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 187.16 max(relative change in state) = -
n_iter = 2 J = 107.74 max(relative change in state) = 2.7280
n_iter = 3 J = 91.361 max(relative change in state) = 1.1283
n_iter = 4 J = 95.991 max(relative change in state) = 1.4239
n_iter = 5 J = 89.623 max(relative change in state) = 1.0378
n_iter = 6 J = 89.416 max(relative change in state) = 0.11716
n_iter = 7 J = 89.102 max(relative change in state) = 0.28363
n_iter = 8 J = 88.913 max(relative change in state) = 0.77085E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 98 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 99 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 99 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 148.53 max(relative change in state) = -
n_iter = 2 J = 115.80 max(relative change in state) = 2.0368
n_iter = 3 J = 105.17 max(relative change in state) = 0.88762
n_iter = 4 J = 105.41 max(relative change in state) = 1.3037
n_iter = 5 J = 103.30 max(relative change in state) = 0.90111
n_iter = 6 J = 103.11 max(relative change in state) = 0.22511
n_iter = 7 J = 102.93 max(relative change in state) = 0.14644
n_iter = 8 J = 102.84 max(relative change in state) = 0.13471
n_iter = 9 J = 102.76 max(relative change in state) = 0.52240
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 99 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 100 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 100 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 116.09 max(relative change in state) = -
n_iter = 2 J = 96.509 max(relative change in state) = 0.63005
n_iter = 3 J = 71.342 max(relative change in state) = 1.7147
n_iter = 4 J = 80.039 max(relative change in state) = 2.1491
n_iter = 5 J = 70.757 max(relative change in state) = 1.7633
n_iter = 6 J = 70.593 max(relative change in state) = 0.41269E-01
n_iter = 7 J = 69.857 max(relative change in state) = 0.25382
n_iter = 8 J = 69.990 max(relative change in state) = 0.33470
n_iter = 9 J = 69.766 max(relative change in state) = 0.19360
n_iter = 10 J = 69.749 max(relative change in state) = 0.24611E-01
n_iter = 11 J = 69.678 max(relative change in state) = 0.10520
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 100 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 101 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 101 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 107.49 max(relative change in state) = -
n_iter = 2 J = 90.093 max(relative change in state) = 0.83544
n_iter = 3 J = 74.021 max(relative change in state) = 1.9430
n_iter = 4 J = 76.779 max(relative change in state) = 1.6652
n_iter = 5 J = 72.934 max(relative change in state) = 1.1077
n_iter = 6 J = 72.714 max(relative change in state) = 0.15530
n_iter = 7 J = 72.390 max(relative change in state) = 0.40781
n_iter = 8 J = 72.180 max(relative change in state) = 0.83821E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 101 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 102 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 102 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 83.095 max(relative change in state) = -
n_iter = 2 J = 69.863 max(relative change in state) = 0.88217
n_iter = 3 J = 59.035 max(relative change in state) = 1.2977
n_iter = 4 J = 57.883 max(relative change in state) = 0.36791
n_iter = 5 J = 57.761 max(relative change in state) = 0.41341
n_iter = 6 J = 57.368 max(relative change in state) = 0.11770
n_iter = 7 J = 57.339 max(relative change in state) = 0.17987E-01
n_iter = 8 J = 57.246 max(relative change in state) = 0.13072
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 102 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 103 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 103 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 103 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 104 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 104 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.088 max(relative change in state) = -
n_iter = 2 J = 42.826 max(relative change in state) = 0.53263
n_iter = 3 J = 33.969 max(relative change in state) = 0.94869
n_iter = 4 J = 33.055 max(relative change in state) = 0.29171
n_iter = 5 J = 34.338 max(relative change in state) = 0.28772
n_iter = 6 J = 33.018 max(relative change in state) = 0.25965
n_iter = 7 J = 33.001 max(relative change in state) = 0.69608E-02
n_iter = 8 J = 33.000 max(relative change in state) = 0.11009
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 104 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 105 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 105 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.766 max(relative change in state) = -
n_iter = 2 J = 67.332 max(relative change in state) = 0.77713
n_iter = 3 J = 53.653 max(relative change in state) = 2.1259
n_iter = 4 J = 57.068 max(relative change in state) = 1.1946
n_iter = 5 J = 53.079 max(relative change in state) = 0.88854
n_iter = 6 J = 52.963 max(relative change in state) = 0.73531E-01
n_iter = 7 J = 52.730 max(relative change in state) = 0.17130
n_iter = 8 J = 52.608 max(relative change in state) = 0.13718
n_iter = 9 J = 52.677 max(relative change in state) = 0.37612
n_iter = 10 J = 52.536 max(relative change in state) = 0.23096
n_iter = 11 J = 52.528 max(relative change in state) = 0.60274E-01
n_iter = 12 J = 52.522 max(relative change in state) = 0.28871E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 105 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 106 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 106 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 94.650 max(relative change in state) = -
n_iter = 2 J = 79.411 max(relative change in state) = 0.80016
n_iter = 3 J = 66.263 max(relative change in state) = 1.0164
n_iter = 4 J = 64.779 max(relative change in state) = 0.36979
n_iter = 5 J = 68.275 max(relative change in state) = 0.51529
n_iter = 6 J = 64.609 max(relative change in state) = 0.42609
n_iter = 7 J = 64.569 max(relative change in state) = 0.12764E-01
n_iter = 8 J = 64.385 max(relative change in state) = 0.14738
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 106 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 107 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 107 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 45.784 max(relative change in state) = -
n_iter = 2 J = 38.294 max(relative change in state) = 0.59602
n_iter = 3 J = 30.908 max(relative change in state) = 0.98036
n_iter = 4 J = 31.107 max(relative change in state) = 0.70371
n_iter = 5 J = 30.126 max(relative change in state) = 0.41953
n_iter = 6 J = 30.065 max(relative change in state) = 0.13520
n_iter = 7 J = 30.035 max(relative change in state) = 0.86142E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 107 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 108 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 108 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 410.36 max(relative change in state) = -
n_iter = 2 J = 182.90 max(relative change in state) = 9.7324
n_iter = 3 J = 148.42 max(relative change in state) = 1.7873
n_iter = 4 J = 146.54 max(relative change in state) = 1.5069
n_iter = 5 J = 141.66 max(relative change in state) = 0.84051
n_iter = 6 J = 141.20 max(relative change in state) = 0.34004
n_iter = 7 J = 140.71 max(relative change in state) = 0.34710
n_iter = 8 J = 140.08 max(relative change in state) = 0.18880
n_iter = 9 J = 140.43 max(relative change in state) = 0.42180
n_iter = 10 J = 139.68 max(relative change in state) = 0.11647
n_iter = 11 J = 139.64 max(relative change in state) = 0.72201E-01
n_iter = 12 J = 139.56 max(relative change in state) = 0.99763E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 108 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 109 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 109 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 208.58 max(relative change in state) = -
n_iter = 2 J = 178.15 max(relative change in state) = 4.0722
n_iter = 3 J = 147.60 max(relative change in state) = 2.1410
n_iter = 4 J = 152.07 max(relative change in state) = 2.0883
n_iter = 5 J = 146.22 max(relative change in state) = 1.3915
n_iter = 6 J = 145.95 max(relative change in state) = 0.84040E-01
n_iter = 7 J = 144.74 max(relative change in state) = 0.75568
n_iter = 8 J = 144.13 max(relative change in state) = 0.59904
n_iter = 9 J = 143.97 max(relative change in state) = 0.47283E-01
n_iter = 10 J = 143.88 max(relative change in state) = 0.41488E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 109 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 110 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 110 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 205.03 max(relative change in state) = -
n_iter = 2 J = 301.07 max(relative change in state) = 5.7755
n_iter = 3 J = 177.87 max(relative change in state) = 4.2111
n_iter = 4 J = 177.50 max(relative change in state) = 0.66513
n_iter = 5 J = 176.83 max(relative change in state) = 0.29691
n_iter = 6 J = 176.60 max(relative change in state) = 0.22063
n_iter = 7 J = 176.55 max(relative change in state) = 0.26871E-01
n_iter = 8 J = 176.45 max(relative change in state) = 0.65046E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 110 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 111 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 111 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.50 max(relative change in state) = -
n_iter = 2 J = 83.736 max(relative change in state) = 0.59526
n_iter = 3 J = 54.368 max(relative change in state) = 1.9366
n_iter = 4 J = 54.192 max(relative change in state) = 0.76409
n_iter = 5 J = 53.475 max(relative change in state) = 0.57242
n_iter = 6 J = 53.326 max(relative change in state) = 0.13412
n_iter = 7 J = 53.183 max(relative change in state) = 0.91654E-01
n_iter = 8 J = 53.110 max(relative change in state) = 0.84122E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 111 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 112 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 112 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 138.76 max(relative change in state) = -
n_iter = 2 J = 111.87 max(relative change in state) = 0.71834
n_iter = 3 J = 63.170 max(relative change in state) = 3.2732
n_iter = 4 J = 61.794 max(relative change in state) = 0.65539
n_iter = 5 J = 60.367 max(relative change in state) = 0.32675
n_iter = 6 J = 60.030 max(relative change in state) = 0.23596
n_iter = 7 J = 59.752 max(relative change in state) = 0.21913
n_iter = 8 J = 59.497 max(relative change in state) = 0.13791
n_iter = 9 J = 59.383 max(relative change in state) = 0.13329
n_iter = 10 J = 59.338 max(relative change in state) = 0.14365
n_iter = 11 J = 59.181 max(relative change in state) = 0.26993E-01
n_iter = 12 J = 59.133 max(relative change in state) = 0.39007E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 112 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 113 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 113 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 137.80 max(relative change in state) = -
n_iter = 2 J = 115.11 max(relative change in state) = 0.98564
n_iter = 3 J = 98.314 max(relative change in state) = 1.5794
n_iter = 4 J = 96.642 max(relative change in state) = 0.35796
n_iter = 5 J = 99.160 max(relative change in state) = 0.62816
n_iter = 6 J = 96.336 max(relative change in state) = 0.37710
n_iter = 7 J = 96.303 max(relative change in state) = 0.11731E-01
n_iter = 8 J = 96.091 max(relative change in state) = 0.14690
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 113 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 114 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 114 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 173.35 max(relative change in state) = -
n_iter = 2 J = 123.59 max(relative change in state) = 2.7318
n_iter = 3 J = 113.74 max(relative change in state) = 0.95150
n_iter = 4 J = 115.01 max(relative change in state) = 1.4917
n_iter = 5 J = 111.56 max(relative change in state) = 0.84353
n_iter = 6 J = 111.29 max(relative change in state) = 0.28889
n_iter = 7 J = 111.15 max(relative change in state) = 0.18668
n_iter = 8 J = 110.95 max(relative change in state) = 0.13296
n_iter = 9 J = 110.60 max(relative change in state) = 0.20257
n_iter = 10 J = 110.46 max(relative change in state) = 0.10283
n_iter = 11 J = 110.36 max(relative change in state) = 0.71053E-01
n_iter = 12 J = 110.32 max(relative change in state) = 0.10034
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 114 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 115 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 115 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.515 max(relative change in state) = -
n_iter = 2 J = 42.553 max(relative change in state) = 0.45193
n_iter = 3 J = 29.027 max(relative change in state) = 1.6363
n_iter = 4 J = 33.994 max(relative change in state) = 1.6177
n_iter = 5 J = 28.803 max(relative change in state) = 1.3548
n_iter = 6 J = 28.741 max(relative change in state) = 0.13325E-01
n_iter = 7 J = 28.461 max(relative change in state) = 0.20708
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 115 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 116 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 116 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.740 max(relative change in state) = -
n_iter = 2 J = 57.634 max(relative change in state) = 0.44844
n_iter = 3 J = 39.737 max(relative change in state) = 1.6752
n_iter = 4 J = 41.228 max(relative change in state) = 1.3216
n_iter = 5 J = 39.185 max(relative change in state) = 0.99722
n_iter = 6 J = 39.106 max(relative change in state) = 0.11735
n_iter = 7 J = 39.019 max(relative change in state) = 0.19421
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 116 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 117 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 117 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 270.01 max(relative change in state) = -
n_iter = 2 J = 275.10 max(relative change in state) = 5.8674
n_iter = 3 J = 191.80 max(relative change in state) = 2.4537
n_iter = 4 J = 185.45 max(relative change in state) = 1.2885
n_iter = 5 J = 187.05 max(relative change in state) = 1.3015
n_iter = 6 J = 183.77 max(relative change in state) = 0.61849
n_iter = 7 J = 183.55 max(relative change in state) = 0.48606E-01
n_iter = 8 J = 182.39 max(relative change in state) = 0.44733
n_iter = 9 J = 182.96 max(relative change in state) = 0.97409
n_iter = 10 J = 182.16 max(relative change in state) = 0.68569
n_iter = 11 J = 182.08 max(relative change in state) = 0.80874E-01
n_iter = 12 J = 181.83 max(relative change in state) = 0.19275
n_iter = 13 J = 181.71 max(relative change in state) = 0.25411
n_iter = 14 J = 181.65 max(relative change in state) = 0.11434
n_iter = 15 J = 181.61 max(relative change in state) = 0.42736E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 117 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 118 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 118 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 148.90 max(relative change in state) = -
n_iter = 2 J = 114.53 max(relative change in state) = 1.5759
n_iter = 3 J = 99.039 max(relative change in state) = 0.92958
n_iter = 4 J = 95.774 max(relative change in state) = 0.67945
n_iter = 5 J = 95.977 max(relative change in state) = 0.73096
n_iter = 6 J = 95.108 max(relative change in state) = 0.52294
n_iter = 7 J = 95.013 max(relative change in state) = 0.12158
n_iter = 8 J = 94.837 max(relative change in state) = 0.13842
n_iter = 9 J = 94.746 max(relative change in state) = 0.12501
n_iter = 10 J = 94.677 max(relative change in state) = 0.36387
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 118 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 119 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 119 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 102.92 max(relative change in state) = -
n_iter = 2 J = 85.537 max(relative change in state) = 0.65833
n_iter = 3 J = 58.337 max(relative change in state) = 1.4929
n_iter = 4 J = 56.077 max(relative change in state) = 0.30066
n_iter = 5 J = 61.362 max(relative change in state) = 1.0615
n_iter = 6 J = 55.714 max(relative change in state) = 0.83773
n_iter = 7 J = 55.654 max(relative change in state) = 0.22339E-01
n_iter = 8 J = 55.582 max(relative change in state) = 0.20817
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 119 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 120 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 120 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 81.615 max(relative change in state) = -
n_iter = 2 J = 67.357 max(relative change in state) = 0.55748
n_iter = 3 J = 44.331 max(relative change in state) = 1.9719
n_iter = 4 J = 42.671 max(relative change in state) = 0.26867
n_iter = 5 J = 45.702 max(relative change in state) = 1.1956
n_iter = 6 J = 42.138 max(relative change in state) = 0.89224
n_iter = 7 J = 42.049 max(relative change in state) = 0.50672E-01
n_iter = 8 J = 41.785 max(relative change in state) = 0.21305
n_iter = 9 J = 41.719 max(relative change in state) = 0.21062
n_iter = 10 J = 41.668 max(relative change in state) = 0.54490E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 120 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 121 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 121 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.565 max(relative change in state) = -
n_iter = 2 J = 58.855 max(relative change in state) = 0.49505
n_iter = 3 J = 34.711 max(relative change in state) = 1.8149
n_iter = 4 J = 33.715 max(relative change in state) = 0.41037
n_iter = 5 J = 33.482 max(relative change in state) = 0.38063
n_iter = 6 J = 33.219 max(relative change in state) = 0.94833E-01
n_iter = 7 J = 33.175 max(relative change in state) = 0.26802E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 121 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 122 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 122 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 107.65 max(relative change in state) = -
n_iter = 2 J = 90.246 max(relative change in state) = 0.59460
n_iter = 3 J = 64.712 max(relative change in state) = 2.2590
n_iter = 4 J = 84.779 max(relative change in state) = 3.3079
n_iter = 5 J = 64.053 max(relative change in state) = 2.8513
n_iter = 6 J = 63.875 max(relative change in state) = 0.31167E-01
n_iter = 7 J = 63.618 max(relative change in state) = 0.34133
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 122 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 123 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 123 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 61.524 max(relative change in state) = -
n_iter = 2 J = 51.169 max(relative change in state) = 0.65467
n_iter = 3 J = 36.963 max(relative change in state) = 1.4409
n_iter = 4 J = 34.574 max(relative change in state) = 0.48059
n_iter = 5 J = 35.012 max(relative change in state) = 0.57789
n_iter = 6 J = 34.234 max(relative change in state) = 0.35619
n_iter = 7 J = 34.198 max(relative change in state) = 0.12307
n_iter = 8 J = 34.180 max(relative change in state) = 0.62874E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 123 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 124 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 124 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.453 max(relative change in state) = -
n_iter = 2 J = 58.688 max(relative change in state) = 0.63962
n_iter = 3 J = 42.789 max(relative change in state) = 2.1714
n_iter = 4 J = 43.672 max(relative change in state) = 0.90135
n_iter = 5 J = 42.330 max(relative change in state) = 0.68162
n_iter = 6 J = 42.238 max(relative change in state) = 0.10787
n_iter = 7 J = 42.205 max(relative change in state) = 0.18597
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 124 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 125 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 125 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 166.08 max(relative change in state) = -
n_iter = 2 J = 118.56 max(relative change in state) = 2.6704
n_iter = 3 J = 106.11 max(relative change in state) = 2.0436
n_iter = 4 J = 105.33 max(relative change in state) = 0.52766
n_iter = 5 J = 105.43 max(relative change in state) = 0.18030
n_iter = 6 J = 104.74 max(relative change in state) = 0.98526E-01
n_iter = 7 J = 104.50 max(relative change in state) = 0.73153E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 125 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 126 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 126 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 85.860 max(relative change in state) = -
n_iter = 2 J = 71.342 max(relative change in state) = 0.48847
n_iter = 3 J = 51.069 max(relative change in state) = 1.8937
n_iter = 4 J = 59.456 max(relative change in state) = 2.1085
n_iter = 5 J = 50.379 max(relative change in state) = 1.6979
n_iter = 6 J = 50.204 max(relative change in state) = 0.40142E-01
n_iter = 7 J = 49.536 max(relative change in state) = 0.25063
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 126 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 127 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 127 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 88.361 max(relative change in state) = -
n_iter = 2 J = 72.743 max(relative change in state) = 0.58119
n_iter = 3 J = 41.332 max(relative change in state) = 2.0631
n_iter = 4 J = 46.244 max(relative change in state) = 2.0917
n_iter = 5 J = 39.864 max(relative change in state) = 1.4789
n_iter = 6 J = 39.621 max(relative change in state) = 0.12429
n_iter = 7 J = 38.982 max(relative change in state) = 0.39368
n_iter = 8 J = 38.706 max(relative change in state) = 0.20365
n_iter = 9 J = 38.657 max(relative change in state) = 0.73810E-01
n_iter = 10 J = 38.578 max(relative change in state) = 0.34114E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 127 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 128 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 128 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 5 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 121.71 max(relative change in state) = -
n_iter = 2 J = 103.30 max(relative change in state) = 0.81449
n_iter = 3 J = 92.154 max(relative change in state) = 1.2082
n_iter = 4 J = 92.199 max(relative change in state) = 0.88608
n_iter = 5 J = 90.930 max(relative change in state) = 0.56403
n_iter = 6 J = 90.810 max(relative change in state) = 0.17651
n_iter = 7 J = 90.693 max(relative change in state) = 0.16328
n_iter = 8 J = 90.562 max(relative change in state) = 0.85141E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 128 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 129 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 129 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 244.51 max(relative change in state) = -
n_iter = 2 J = 145.23 max(relative change in state) = 4.3632
n_iter = 3 J = 127.46 max(relative change in state) = 1.4306
n_iter = 4 J = 125.96 max(relative change in state) = 1.0778
n_iter = 5 J = 123.00 max(relative change in state) = 0.83800
n_iter = 6 J = 122.13 max(relative change in state) = 0.22072
n_iter = 7 J = 121.76 max(relative change in state) = 0.35392
n_iter = 8 J = 120.87 max(relative change in state) = 0.26860
n_iter = 9 J = 120.15 max(relative change in state) = 0.55408
n_iter = 10 J = 118.83 max(relative change in state) = 0.37346
n_iter = 11 J = 119.21 max(relative change in state) = 0.60048
n_iter = 12 J = 118.12 max(relative change in state) = 0.21838
n_iter = 13 J = 117.83 max(relative change in state) = 0.89347E-01
n_iter = 14 J = 118.09 max(relative change in state) = 0.24737
n_iter = 15 J = 117.42 max(relative change in state) = 0.40098
n_iter = 16 J = 117.74 max(relative change in state) = 0.45321
n_iter = 17 J = 117.18 max(relative change in state) = 0.36777
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 129 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 130 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 130 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 168.64 max(relative change in state) = -
n_iter = 2 J = 126.62 max(relative change in state) = 2.6332
n_iter = 3 J = 113.90 max(relative change in state) = 0.85453
n_iter = 4 J = 110.32 max(relative change in state) = 0.66053
n_iter = 5 J = 110.14 max(relative change in state) = 0.78324
n_iter = 6 J = 108.71 max(relative change in state) = 0.24394
n_iter = 7 J = 108.56 max(relative change in state) = 0.32669E-01
n_iter = 8 J = 108.31 max(relative change in state) = 0.20431
n_iter = 9 J = 108.35 max(relative change in state) = 0.23980
n_iter = 10 J = 108.12 max(relative change in state) = 0.11449
n_iter = 11 J = 108.06 max(relative change in state) = 0.24070E-01
n_iter = 12 J = 107.98 max(relative change in state) = 0.55875E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 130 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 131 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 131 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 117.30 max(relative change in state) = -
n_iter = 2 J = 97.572 max(relative change in state) = 0.66964
n_iter = 3 J = 74.183 max(relative change in state) = 1.9041
n_iter = 4 J = 74.345 max(relative change in state) = 0.56620
n_iter = 5 J = 73.107 max(relative change in state) = 0.31065
n_iter = 6 J = 73.065 max(relative change in state) = 0.65868E-01
n_iter = 7 J = 73.037 max(relative change in state) = 0.40675E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 131 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 132 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 132 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 163.06 max(relative change in state) = -
n_iter = 2 J = 110.57 max(relative change in state) = 2.4674
n_iter = 3 J = 96.657 max(relative change in state) = 1.1830
n_iter = 4 J = 97.253 max(relative change in state) = 1.1131
n_iter = 5 J = 95.347 max(relative change in state) = 0.71829
n_iter = 6 J = 95.251 max(relative change in state) = 0.16821
n_iter = 7 J = 95.164 max(relative change in state) = 0.14585
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 132 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 133 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 133 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 257.46 max(relative change in state) = -
n_iter = 2 J = 155.48 max(relative change in state) = 5.8756
n_iter = 3 J = 129.20 max(relative change in state) = 1.8606
n_iter = 4 J = 127.69 max(relative change in state) = 0.62735
n_iter = 5 J = 125.94 max(relative change in state) = 0.21305
n_iter = 6 J = 124.97 max(relative change in state) = 0.33179
n_iter = 7 J = 124.69 max(relative change in state) = 0.22598
n_iter = 8 J = 124.30 max(relative change in state) = 0.12848
n_iter = 9 J = 124.08 max(relative change in state) = 0.90338E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 133 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 134 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 134 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 64.987 max(relative change in state) = -
n_iter = 2 J = 55.370 max(relative change in state) = 0.63855
n_iter = 3 J = 37.913 max(relative change in state) = 2.9893
n_iter = 4 J = 41.410 max(relative change in state) = 1.3599
n_iter = 5 J = 37.415 max(relative change in state) = 1.0903
n_iter = 6 J = 37.208 max(relative change in state) = 0.66167E-01
n_iter = 7 J = 37.173 max(relative change in state) = 0.37366
n_iter = 8 J = 36.994 max(relative change in state) = 0.33685
n_iter = 9 J = 36.952 max(relative change in state) = 0.37240E-01
n_iter = 10 J = 36.865 max(relative change in state) = 0.35522E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 134 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 135 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 135 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 63.647 max(relative change in state) = -
n_iter = 2 J = 52.909 max(relative change in state) = 0.44328
n_iter = 3 J = 37.007 max(relative change in state) = 1.4952
n_iter = 4 J = 36.429 max(relative change in state) = 0.18354
n_iter = 5 J = 37.509 max(relative change in state) = 0.47045
n_iter = 6 J = 36.088 max(relative change in state) = 0.35033
n_iter = 7 J = 35.948 max(relative change in state) = 0.54603E-01
n_iter = 8 J = 35.962 max(relative change in state) = 0.98878E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 135 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 136 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 136 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 104.76 max(relative change in state) = -
n_iter = 2 J = 86.443 max(relative change in state) = 0.65163
n_iter = 3 J = 57.006 max(relative change in state) = 1.9244
n_iter = 4 J = 55.368 max(relative change in state) = 0.32777
n_iter = 5 J = 56.448 max(relative change in state) = 0.60714
n_iter = 6 J = 54.899 max(relative change in state) = 0.35674
n_iter = 7 J = 54.839 max(relative change in state) = 0.15985E-01
n_iter = 8 J = 54.591 max(relative change in state) = 0.21789
n_iter = 9 J = 54.695 max(relative change in state) = 0.36821
n_iter = 10 J = 54.509 max(relative change in state) = 0.23592
n_iter = 11 J = 54.483 max(relative change in state) = 0.68825E-01
n_iter = 12 J = 54.462 max(relative change in state) = 0.74771E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 136 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 137 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 137 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 137 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 138 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 138 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 128.13 max(relative change in state) = -
n_iter = 2 J = 105.21 max(relative change in state) = 0.82252
n_iter = 3 J = 61.384 max(relative change in state) = 3.1450
n_iter = 4 J = 59.623 max(relative change in state) = 0.27725
n_iter = 5 J = 62.166 max(relative change in state) = 0.88149
n_iter = 6 J = 59.089 max(relative change in state) = 0.61227
n_iter = 7 J = 59.032 max(relative change in state) = 0.22590E-01
n_iter = 8 J = 58.780 max(relative change in state) = 0.14993
n_iter = 9 J = 58.906 max(relative change in state) = 0.26575
n_iter = 10 J = 58.729 max(relative change in state) = 0.17715
n_iter = 11 J = 58.716 max(relative change in state) = 0.17050E-01
n_iter = 12 J = 58.663 max(relative change in state) = 0.85258E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 138 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 139 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 139 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 25.273 max(relative change in state) = -
n_iter = 2 J = 20.822 max(relative change in state) = 0.43668
n_iter = 3 J = 13.856 max(relative change in state) = 1.2075
n_iter = 4 J = 14.366 max(relative change in state) = 0.79064
n_iter = 5 J = 13.738 max(relative change in state) = 0.59904
n_iter = 6 J = 13.716 max(relative change in state) = 0.51344E-01
n_iter = 7 J = 13.679 max(relative change in state) = 0.12393
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 139 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 140 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 140 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 173.26 max(relative change in state) = -
n_iter = 2 J = 109.96 max(relative change in state) = 2.4639
n_iter = 3 J = 98.376 max(relative change in state) = 1.0093
n_iter = 4 J = 97.413 max(relative change in state) = 0.79513
n_iter = 5 J = 99.398 max(relative change in state) = 0.81637
n_iter = 6 J = 97.174 max(relative change in state) = 0.61013
n_iter = 7 J = 97.114 max(relative change in state) = 0.16777E-01
n_iter = 8 J = 96.705 max(relative change in state) = 0.28019
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 140 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 141 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 141 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.33 max(relative change in state) = -
n_iter = 2 J = 83.679 max(relative change in state) = 0.64851
n_iter = 3 J = 56.187 max(relative change in state) = 1.8998
n_iter = 4 J = 54.775 max(relative change in state) = 0.35811
n_iter = 5 J = 54.540 max(relative change in state) = 0.22333
n_iter = 6 J = 54.150 max(relative change in state) = 0.11219
n_iter = 7 J = 54.118 max(relative change in state) = 0.29709E-01
n_iter = 8 J = 54.055 max(relative change in state) = 0.67589E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 141 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 142 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 142 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 112.73 max(relative change in state) = -
n_iter = 2 J = 94.131 max(relative change in state) = 0.86549
n_iter = 3 J = 73.927 max(relative change in state) = 1.6613
n_iter = 4 J = 75.179 max(relative change in state) = 1.1629
n_iter = 5 J = 72.151 max(relative change in state) = 0.71494
n_iter = 6 J = 71.919 max(relative change in state) = 0.18664
n_iter = 7 J = 71.759 max(relative change in state) = 0.21750
n_iter = 8 J = 71.545 max(relative change in state) = 0.99455E-01
n_iter = 9 J = 71.420 max(relative change in state) = 0.51350
n_iter = 10 J = 71.123 max(relative change in state) = 0.28066
n_iter = 11 J = 71.052 max(relative change in state) = 0.59181E-01
n_iter = 12 J = 70.959 max(relative change in state) = 0.11117
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 142 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 143 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 143 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 203.48 max(relative change in state) = -
n_iter = 2 J = 108.14 max(relative change in state) = 3.2849
n_iter = 3 J = 94.995 max(relative change in state) = 0.75667
n_iter = 4 J = 92.843 max(relative change in state) = 0.39175
n_iter = 5 J = 94.168 max(relative change in state) = 1.5810
n_iter = 6 J = 92.285 max(relative change in state) = 1.1191
n_iter = 7 J = 92.204 max(relative change in state) = 0.49083E-01
n_iter = 8 J = 92.060 max(relative change in state) = 0.16694
n_iter = 9 J = 91.991 max(relative change in state) = 0.10324
n_iter = 10 J = 91.963 max(relative change in state) = 0.66047E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 143 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 144 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 144 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 102.55 max(relative change in state) = -
n_iter = 2 J = 84.309 max(relative change in state) = 0.63184
n_iter = 3 J = 52.851 max(relative change in state) = 2.0535
n_iter = 4 J = 52.198 max(relative change in state) = 0.34189
n_iter = 5 J = 51.616 max(relative change in state) = 0.21572
n_iter = 6 J = 51.575 max(relative change in state) = 0.70224E-01
n_iter = 7 J = 51.476 max(relative change in state) = 0.10399
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 144 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 145 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 145 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 43.510 max(relative change in state) = -
n_iter = 2 J = 35.900 max(relative change in state) = 0.39917
n_iter = 3 J = 23.399 max(relative change in state) = 1.2464
n_iter = 4 J = 22.642 max(relative change in state) = 0.30022
n_iter = 5 J = 22.770 max(relative change in state) = 0.31105
n_iter = 6 J = 22.375 max(relative change in state) = 0.14102
n_iter = 7 J = 22.356 max(relative change in state) = 0.13558E-01
n_iter = 8 J = 22.287 max(relative change in state) = 0.18634
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 145 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 146 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 146 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 38.218 max(relative change in state) = -
n_iter = 2 J = 31.368 max(relative change in state) = 0.29818
n_iter = 3 J = 17.965 max(relative change in state) = 1.3824
n_iter = 4 J = 17.615 max(relative change in state) = 0.41524
n_iter = 5 J = 17.272 max(relative change in state) = 0.17213
n_iter = 6 J = 17.196 max(relative change in state) = 0.15875
n_iter = 7 J = 17.173 max(relative change in state) = 0.46853E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 146 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 147 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 147 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 91.691 max(relative change in state) = -
n_iter = 2 J = 76.400 max(relative change in state) = 0.75255
n_iter = 3 J = 59.616 max(relative change in state) = 1.3092
n_iter = 4 J = 59.169 max(relative change in state) = 0.67829
n_iter = 5 J = 58.300 max(relative change in state) = 0.34098
n_iter = 6 J = 58.199 max(relative change in state) = 0.18755
n_iter = 7 J = 58.141 max(relative change in state) = 0.13880
n_iter = 8 J = 58.076 max(relative change in state) = 0.40943E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 147 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 148 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 148 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 40.368 max(relative change in state) = -
n_iter = 2 J = 33.689 max(relative change in state) = 0.49869
n_iter = 3 J = 27.238 max(relative change in state) = 0.90225
n_iter = 4 J = 26.482 max(relative change in state) = 0.30797
n_iter = 5 J = 28.859 max(relative change in state) = 0.54699
n_iter = 6 J = 26.390 max(relative change in state) = 0.45099
n_iter = 7 J = 26.363 max(relative change in state) = 0.12031E-01
n_iter = 8 J = 26.296 max(relative change in state) = 0.12587
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 148 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 149 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 149 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 149 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 150 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 150 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 84.261 max(relative change in state) = -
n_iter = 2 J = 70.256 max(relative change in state) = 0.65385
n_iter = 3 J = 53.216 max(relative change in state) = 1.1793
n_iter = 4 J = 53.245 max(relative change in state) = 0.87275
n_iter = 5 J = 51.723 max(relative change in state) = 0.47364
n_iter = 6 J = 51.536 max(relative change in state) = 0.22777
n_iter = 7 J = 51.475 max(relative change in state) = 0.14602
n_iter = 8 J = 51.335 max(relative change in state) = 0.69759E-01
n_iter = 9 J = 51.132 max(relative change in state) = 0.15247
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 150 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 151 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 151 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 82.241 max(relative change in state) = -
n_iter = 2 J = 67.437 max(relative change in state) = 0.46667
n_iter = 3 J = 39.892 max(relative change in state) = 1.6710
n_iter = 4 J = 37.784 max(relative change in state) = 0.50673
n_iter = 5 J = 39.810 max(relative change in state) = 0.55216
n_iter = 6 J = 37.308 max(relative change in state) = 0.37832
n_iter = 7 J = 37.247 max(relative change in state) = 0.17772E-01
n_iter = 8 J = 37.020 max(relative change in state) = 0.12302
n_iter = 9 J = 36.975 max(relative change in state) = 0.16345
n_iter = 10 J = 36.868 max(relative change in state) = 0.59398E-01
n_iter = 11 J = 36.839 max(relative change in state) = 0.33827E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 151 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 152 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 152 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 217.25 max(relative change in state) = -
n_iter = 2 J = 114.47 max(relative change in state) = 4.5677
n_iter = 3 J = 105.51 max(relative change in state) = 0.64135
n_iter = 4 J = 99.580 max(relative change in state) = 0.85591
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 152 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 153 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 153 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 525.77 max(relative change in state) = -
n_iter = 2 J = 177.08 max(relative change in state) = 10.783
n_iter = 3 J = 150.45 max(relative change in state) = 1.5957
n_iter = 4 J = 152.01 max(relative change in state) = 1.5470
n_iter = 5 J = 146.30 max(relative change in state) = 0.95297
n_iter = 6 J = 146.00 max(relative change in state) = 0.25005
n_iter = 7 J = 145.78 max(relative change in state) = 0.22377
n_iter = 8 J = 145.41 max(relative change in state) = 0.17205
n_iter = 9 J = 144.95 max(relative change in state) = 0.54040
n_iter = 10 J = 144.82 max(relative change in state) = 0.36567
n_iter = 11 J = 144.73 max(relative change in state) = 0.42582E-01
n_iter = 12 J = 144.71 max(relative change in state) = 0.20010E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 153 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 154 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 154 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 39.823 max(relative change in state) = -
n_iter = 2 J = 33.381 max(relative change in state) = 0.57241
n_iter = 3 J = 28.012 max(relative change in state) = 1.0869
n_iter = 4 J = 27.766 max(relative change in state) = 0.15436
n_iter = 5 J = 27.688 max(relative change in state) = 0.15515
n_iter = 6 J = 27.633 max(relative change in state) = 0.38668E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 154 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 155 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 155 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 155 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 156 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 156 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.586 max(relative change in state) = -
n_iter = 2 J = 57.201 max(relative change in state) = 0.51481
n_iter = 3 J = 33.540 max(relative change in state) = 1.5211
n_iter = 4 J = 32.396 max(relative change in state) = 0.51049
n_iter = 5 J = 31.818 max(relative change in state) = 0.28820
n_iter = 6 J = 31.699 max(relative change in state) = 0.94404E-01
n_iter = 7 J = 31.644 max(relative change in state) = 0.87627E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 156 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 157 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 157 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 139.91 max(relative change in state) = -
n_iter = 2 J = 111.74 max(relative change in state) = 0.89753
n_iter = 3 J = 75.876 max(relative change in state) = 2.4200
n_iter = 4 J = 74.403 max(relative change in state) = 0.22613
n_iter = 5 J = 78.843 max(relative change in state) = 0.72319
n_iter = 6 J = 74.071 max(relative change in state) = 0.60044
n_iter = 7 J = 74.014 max(relative change in state) = 0.18770E-01
n_iter = 8 J = 73.861 max(relative change in state) = 0.12316
n_iter = 9 J = 73.843 max(relative change in state) = 0.49975E-01
n_iter = 10 J = 73.800 max(relative change in state) = 0.32417E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 157 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 158 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 158 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 83.844 max(relative change in state) = -
n_iter = 2 J = 69.535 max(relative change in state) = 0.75811
n_iter = 3 J = 51.230 max(relative change in state) = 2.1137
n_iter = 4 J = 49.900 max(relative change in state) = 0.40416
n_iter = 5 J = 53.595 max(relative change in state) = 0.34722
n_iter = 6 J = 49.736 max(relative change in state) = 0.31724
n_iter = 7 J = 49.694 max(relative change in state) = 0.13595E-01
n_iter = 8 J = 49.515 max(relative change in state) = 0.13864
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 158 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 159 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 159 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 190.09 max(relative change in state) = -
n_iter = 2 J = 112.46 max(relative change in state) = 3.4169
n_iter = 3 J = 100.63 max(relative change in state) = 1.0298
n_iter = 4 J = 98.028 max(relative change in state) = 0.67194
n_iter = 5 J = 104.84 max(relative change in state) = 1.2500
n_iter = 6 J = 97.786 max(relative change in state) = 1.0370
n_iter = 7 J = 97.753 max(relative change in state) = 0.13621E-01
n_iter = 8 J = 97.579 max(relative change in state) = 0.23989
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 159 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 160 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 160 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 268.57 max(relative change in state) = -
n_iter = 2 J = 231.36 max(relative change in state) = 7.1228
n_iter = 3 J = 175.83 max(relative change in state) = 2.9451
n_iter = 4 J = 173.97 max(relative change in state) = 0.36776
n_iter = 5 J = 173.84 max(relative change in state) = 0.42982
n_iter = 6 J = 173.07 max(relative change in state) = 0.13305
n_iter = 7 J = 172.98 max(relative change in state) = 0.37017E-01
n_iter = 8 J = 172.76 max(relative change in state) = 0.20577
n_iter = 9 J = 172.83 max(relative change in state) = 0.17852
n_iter = 10 J = 172.62 max(relative change in state) = 0.10016
n_iter = 11 J = 172.58 max(relative change in state) = 0.14301E-01
n_iter = 12 J = 172.44 max(relative change in state) = 0.94912E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 160 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 161 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 161 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 134.09 max(relative change in state) = -
n_iter = 2 J = 111.78 max(relative change in state) = 0.79051
n_iter = 3 J = 81.218 max(relative change in state) = 2.8929
n_iter = 4 J = 81.583 max(relative change in state) = 0.63890
n_iter = 5 J = 80.255 max(relative change in state) = 0.40640
n_iter = 6 J = 80.147 max(relative change in state) = 0.11977
n_iter = 7 J = 80.106 max(relative change in state) = 0.12457
n_iter = 8 J = 80.028 max(relative change in state) = 0.30112E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 161 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 162 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 162 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 67.520 max(relative change in state) = -
n_iter = 2 J = 55.408 max(relative change in state) = 0.48950
n_iter = 3 J = 32.292 max(relative change in state) = 1.9913
n_iter = 4 J = 31.676 max(relative change in state) = 0.33248
n_iter = 5 J = 31.358 max(relative change in state) = 0.35935
n_iter = 6 J = 31.082 max(relative change in state) = 0.54968E-01
n_iter = 7 J = 30.905 max(relative change in state) = 0.69483E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 162 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 163 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 163 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 199.35 max(relative change in state) = -
n_iter = 2 J = 135.21 max(relative change in state) = 2.9047
n_iter = 3 J = 124.83 max(relative change in state) = 0.94223
n_iter = 4 J = 122.99 max(relative change in state) = 0.55686
n_iter = 5 J = 121.56 max(relative change in state) = 0.39088
n_iter = 6 J = 121.38 max(relative change in state) = 0.83300E-01
n_iter = 7 J = 121.35 max(relative change in state) = 0.33032
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 163 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 164 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 164 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 180.24 max(relative change in state) = -
n_iter = 2 J = 116.95 max(relative change in state) = 2.3934
n_iter = 3 J = 103.69 max(relative change in state) = 0.92171
n_iter = 4 J = 110.26 max(relative change in state) = 1.9113
n_iter = 5 J = 101.66 max(relative change in state) = 1.4524
n_iter = 6 J = 100.77 max(relative change in state) = 0.17377
n_iter = 7 J = 100.35 max(relative change in state) = 0.59310
n_iter = 8 J = 99.050 max(relative change in state) = 0.17293
n_iter = 9 J = 100.09 max(relative change in state) = 0.86994
n_iter = 10 J = 97.712 max(relative change in state) = 0.51749
n_iter = 11 J = 97.728 max(relative change in state) = 0.36091
n_iter = 12 J = 97.106 max(relative change in state) = 0.21817
n_iter = 13 J = 97.017 max(relative change in state) = 0.11443
n_iter = 14 J = 96.798 max(relative change in state) = 0.53857E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 164 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 165 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 165 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 54.037 max(relative change in state) = -
n_iter = 2 J = 44.317 max(relative change in state) = 0.36254
n_iter = 3 J = 23.762 max(relative change in state) = 1.5356
n_iter = 4 J = 22.585 max(relative change in state) = 0.44108
n_iter = 5 J = 24.749 max(relative change in state) = 0.92727
n_iter = 6 J = 22.338 max(relative change in state) = 0.73888
n_iter = 7 J = 22.287 max(relative change in state) = 0.30736E-01
n_iter = 8 J = 22.132 max(relative change in state) = 0.12298
n_iter = 9 J = 22.104 max(relative change in state) = 0.13125
n_iter = 10 J = 22.085 max(relative change in state) = 0.67427E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 165 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 166 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 166 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 95.664 max(relative change in state) = -
n_iter = 2 J = 78.987 max(relative change in state) = 0.51894
n_iter = 3 J = 51.464 max(relative change in state) = 1.8050
n_iter = 4 J = 50.415 max(relative change in state) = 0.26496
n_iter = 5 J = 51.884 max(relative change in state) = 0.43902
n_iter = 6 J = 50.026 max(relative change in state) = 0.34054
n_iter = 7 J = 49.929 max(relative change in state) = 0.23090E-01
n_iter = 8 J = 49.669 max(relative change in state) = 0.93642E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 166 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 167 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 167 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 90.594 max(relative change in state) = -
n_iter = 2 J = 74.589 max(relative change in state) = 0.57292
n_iter = 3 J = 46.856 max(relative change in state) = 1.6891
n_iter = 4 J = 45.557 max(relative change in state) = 0.37520
n_iter = 5 J = 45.738 max(relative change in state) = 0.36655
n_iter = 6 J = 44.966 max(relative change in state) = 0.19418
n_iter = 7 J = 44.885 max(relative change in state) = 0.25751E-01
n_iter = 8 J = 44.902 max(relative change in state) = 0.19743
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 167 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 168 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 168 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 87.060 max(relative change in state) = -
n_iter = 2 J = 73.592 max(relative change in state) = 0.84676
n_iter = 3 J = 63.167 max(relative change in state) = 1.7118
n_iter = 4 J = 67.053 max(relative change in state) = 1.3919
n_iter = 5 J = 62.663 max(relative change in state) = 1.0882
n_iter = 6 J = 62.530 max(relative change in state) = 0.46124E-01
n_iter = 7 J = 62.023 max(relative change in state) = 0.24175
n_iter = 8 J = 61.978 max(relative change in state) = 0.29737
n_iter = 9 J = 61.897 max(relative change in state) = 0.13066
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 168 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 169 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 169 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 56.581 max(relative change in state) = -
n_iter = 2 J = 46.407 max(relative change in state) = 0.42168
n_iter = 3 J = 26.142 max(relative change in state) = 1.6241
n_iter = 4 J = 25.123 max(relative change in state) = 0.23726
n_iter = 5 J = 26.289 max(relative change in state) = 0.58453
n_iter = 6 J = 24.456 max(relative change in state) = 0.35707
n_iter = 7 J = 24.423 max(relative change in state) = 0.28229E-01
n_iter = 8 J = 24.327 max(relative change in state) = 0.86084E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 169 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 170 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 170 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 35.774 max(relative change in state) = -
n_iter = 2 J = 30.096 max(relative change in state) = 0.36766
n_iter = 3 J = 24.773 max(relative change in state) = 0.66820
n_iter = 4 J = 24.668 max(relative change in state) = 0.31703
n_iter = 5 J = 24.111 max(relative change in state) = 0.22242
n_iter = 6 J = 24.084 max(relative change in state) = 0.58671E-01
n_iter = 7 J = 24.057 max(relative change in state) = 0.62173E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 170 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 171 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 171 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 50.649 max(relative change in state) = -
n_iter = 2 J = 41.927 max(relative change in state) = 0.43888
n_iter = 3 J = 29.644 max(relative change in state) = 1.1327
n_iter = 4 J = 28.554 max(relative change in state) = 0.23719
n_iter = 5 J = 31.271 max(relative change in state) = 0.43169
n_iter = 6 J = 28.414 max(relative change in state) = 0.32587
n_iter = 7 J = 28.380 max(relative change in state) = 0.10715E-01
n_iter = 8 J = 28.270 max(relative change in state) = 0.90886E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 171 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 172 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 172 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 61.609 max(relative change in state) = -
n_iter = 2 J = 51.616 max(relative change in state) = 0.47788
n_iter = 3 J = 41.834 max(relative change in state) = 1.0502
n_iter = 4 J = 43.369 max(relative change in state) = 0.92218
n_iter = 5 J = 41.340 max(relative change in state) = 0.65671
n_iter = 6 J = 41.232 max(relative change in state) = 0.63176E-01
n_iter = 7 J = 40.964 max(relative change in state) = 0.24792
n_iter = 8 J = 40.806 max(relative change in state) = 0.68801E-01
n_iter = 9 J = 40.786 max(relative change in state) = 0.27417
n_iter = 10 J = 40.730 max(relative change in state) = 0.98025E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 172 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 173 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 173 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 60.887 max(relative change in state) = -
n_iter = 2 J = 50.060 max(relative change in state) = 0.53592
n_iter = 3 J = 29.313 max(relative change in state) = 1.9023
n_iter = 4 J = 28.650 max(relative change in state) = 0.24615
n_iter = 5 J = 29.357 max(relative change in state) = 0.39651
n_iter = 6 J = 28.485 max(relative change in state) = 0.23545
n_iter = 7 J = 28.448 max(relative change in state) = 0.31121E-01
n_iter = 8 J = 28.382 max(relative change in state) = 0.14421
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 173 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 174 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 174 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 52.357 max(relative change in state) = -
n_iter = 2 J = 43.009 max(relative change in state) = 0.43490
n_iter = 3 J = 23.917 max(relative change in state) = 1.6801
n_iter = 4 J = 23.179 max(relative change in state) = 0.61301
n_iter = 5 J = 22.436 max(relative change in state) = 0.28355
n_iter = 6 J = 22.328 max(relative change in state) = 0.17841
n_iter = 7 J = 22.265 max(relative change in state) = 0.11096
n_iter = 8 J = 22.223 max(relative change in state) = 0.32527E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 174 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 175 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 175 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 5 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 504.55 max(relative change in state) = -
n_iter = 2 J = 911.89 max(relative change in state) = 12.281
n_iter = 3 J = 362.63 max(relative change in state) = 8.8743
n_iter = 4 J = 359.38 max(relative change in state) = 0.58783
n_iter = 5 J = 357.10 max(relative change in state) = 0.65499
n_iter = 6 J = 356.29 max(relative change in state) = 0.25806
n_iter = 7 J = 355.95 max(relative change in state) = 0.70247E-01
n_iter = 8 J = 355.80 max(relative change in state) = 0.50671
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 175 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 176 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 176 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 176 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 177 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 177 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 15.606 max(relative change in state) = -
n_iter = 2 J = 12.885 max(relative change in state) = 0.39146
n_iter = 3 J = 9.2532 max(relative change in state) = 1.0287
n_iter = 4 J = 9.2677 max(relative change in state) = 0.29452
n_iter = 5 J = 9.1824 max(relative change in state) = 0.17739
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 177 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 178 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 178 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 125.84 max(relative change in state) = -
n_iter = 2 J = 103.84 max(relative change in state) = 0.66854
n_iter = 3 J = 67.940 max(relative change in state) = 2.2892
n_iter = 4 J = 66.630 max(relative change in state) = 0.47480
n_iter = 5 J = 66.317 max(relative change in state) = 0.46746
n_iter = 6 J = 65.948 max(relative change in state) = 0.92897E-01
n_iter = 7 J = 65.881 max(relative change in state) = 0.34302E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 178 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 179 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 179 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 57.007 max(relative change in state) = -
n_iter = 2 J = 47.158 max(relative change in state) = 0.49208
n_iter = 3 J = 31.283 max(relative change in state) = 1.4505
n_iter = 4 J = 45.473 max(relative change in state) = 2.7794
n_iter = 5 J = 30.886 max(relative change in state) = 2.3840
n_iter = 6 J = 30.797 max(relative change in state) = 0.20442E-01
n_iter = 7 J = 30.587 max(relative change in state) = 0.30762
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 179 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 180 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 180 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 150.03 max(relative change in state) = -
n_iter = 2 J = 112.35 max(relative change in state) = 1.4871
n_iter = 3 J = 96.862 max(relative change in state) = 0.97937
n_iter = 4 J = 93.761 max(relative change in state) = 0.41877
n_iter = 5 J = 96.791 max(relative change in state) = 1.0226
n_iter = 6 J = 93.169 max(relative change in state) = 0.66393
n_iter = 7 J = 93.104 max(relative change in state) = 0.13134E-01
n_iter = 8 J = 92.806 max(relative change in state) = 0.20562
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 180 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 181 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 181 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 234.99 max(relative change in state) = -
n_iter = 2 J = 122.59 max(relative change in state) = 4.4227
n_iter = 3 J = 112.73 max(relative change in state) = 1.1276
n_iter = 4 J = 112.37 max(relative change in state) = 0.85456
n_iter = 5 J = 110.35 max(relative change in state) = 0.37711
n_iter = 6 J = 109.80 max(relative change in state) = 0.31054
n_iter = 7 J = 109.37 max(relative change in state) = 0.22961
n_iter = 8 J = 108.83 max(relative change in state) = 0.37315
n_iter = 9 J = 108.08 max(relative change in state) = 0.56603
n_iter = 10 J = 107.88 max(relative change in state) = 0.17445
n_iter = 11 J = 107.71 max(relative change in state) = 0.77408E-01
n_iter = 12 J = 107.42 max(relative change in state) = 0.41198
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 181 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 182 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 182 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 214.22 max(relative change in state) = -
n_iter = 2 J = 127.96 max(relative change in state) = 4.3023
n_iter = 3 J = 112.30 max(relative change in state) = 1.2088
n_iter = 4 J = 109.26 max(relative change in state) = 0.55264
n_iter = 5 J = 111.53 max(relative change in state) = 1.4066
n_iter = 6 J = 108.76 max(relative change in state) = 0.90758
n_iter = 7 J = 108.72 max(relative change in state) = 0.15388E-01
n_iter = 8 J = 108.62 max(relative change in state) = 0.21661
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 182 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 183 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 183 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 86.002 max(relative change in state) = -
n_iter = 2 J = 71.835 max(relative change in state) = 0.56034
n_iter = 3 J = 58.590 max(relative change in state) = 1.0026
n_iter = 4 J = 57.188 max(relative change in state) = 0.37927
n_iter = 5 J = 56.221 max(relative change in state) = 0.44758
n_iter = 6 J = 55.448 max(relative change in state) = 0.71231E-01
n_iter = 7 J = 54.996 max(relative change in state) = 0.14249
n_iter = 8 J = 54.195 max(relative change in state) = 0.32629
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 183 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 184 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 184 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 102.88 max(relative change in state) = -
n_iter = 2 J = 84.924 max(relative change in state) = 0.72089
n_iter = 3 J = 55.200 max(relative change in state) = 2.1569
n_iter = 4 J = 53.787 max(relative change in state) = 0.41777
n_iter = 5 J = 53.845 max(relative change in state) = 0.46351
n_iter = 6 J = 53.278 max(relative change in state) = 0.14438
n_iter = 7 J = 53.229 max(relative change in state) = 0.26124E-01
n_iter = 8 J = 53.107 max(relative change in state) = 0.15309
n_iter = 9 J = 53.137 max(relative change in state) = 0.95397E-01
n_iter = 10 J = 53.046 max(relative change in state) = 0.56504E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 184 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 185 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 185 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 271.21 max(relative change in state) = -
n_iter = 2 J = 330.65 max(relative change in state) = 9.0003
n_iter = 3 J = 200.33 max(relative change in state) = 5.6634
n_iter = 4 J = 198.79 max(relative change in state) = 0.57562
n_iter = 5 J = 197.30 max(relative change in state) = 0.23099
n_iter = 6 J = 196.86 max(relative change in state) = 0.33581
n_iter = 7 J = 196.60 max(relative change in state) = 0.93093E-01
n_iter = 8 J = 196.75 max(relative change in state) = 0.21931
n_iter = 9 J = 196.29 max(relative change in state) = 0.73947E-01
n_iter = 10 J = 196.27 max(relative change in state) = 0.43511E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 185 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 186 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 186 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 125.73 max(relative change in state) = -
n_iter = 2 J = 103.44 max(relative change in state) = 0.60612
n_iter = 3 J = 61.791 max(relative change in state) = 2.2976
n_iter = 4 J = 60.231 max(relative change in state) = 0.32204
n_iter = 5 J = 62.420 max(relative change in state) = 0.99559
n_iter = 6 J = 59.884 max(relative change in state) = 0.71959
n_iter = 7 J = 59.833 max(relative change in state) = 0.25382E-01
n_iter = 8 J = 59.652 max(relative change in state) = 0.18007
n_iter = 9 J = 59.689 max(relative change in state) = 0.30134
n_iter = 10 J = 59.615 max(relative change in state) = 0.20545
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 186 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 187 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 187 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 134.07 max(relative change in state) = -
n_iter = 2 J = 113.22 max(relative change in state) = 0.73743
n_iter = 3 J = 98.426 max(relative change in state) = 1.1716
n_iter = 4 J = 104.53 max(relative change in state) = 2.1566
n_iter = 5 J = 97.743 max(relative change in state) = 1.7129
n_iter = 6 J = 97.610 max(relative change in state) = 0.78144E-01
n_iter = 7 J = 97.207 max(relative change in state) = 0.22918
n_iter = 8 J = 97.147 max(relative change in state) = 0.23313
n_iter = 9 J = 97.092 max(relative change in state) = 0.11303
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 187 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 188 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 188 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 41.830 max(relative change in state) = -
n_iter = 2 J = 34.481 max(relative change in state) = 0.47223
n_iter = 3 J = 22.193 max(relative change in state) = 1.4236
n_iter = 4 J = 21.750 max(relative change in state) = 0.38968
n_iter = 5 J = 21.509 max(relative change in state) = 0.27434
n_iter = 6 J = 21.443 max(relative change in state) = 0.42882E-01
n_iter = 7 J = 21.428 max(relative change in state) = 0.29962E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 188 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 189 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 189 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 90.495 max(relative change in state) = -
n_iter = 2 J = 74.169 max(relative change in state) = 0.61334
n_iter = 3 J = 40.474 max(relative change in state) = 2.7493
n_iter = 4 J = 40.070 max(relative change in state) = 0.36462
n_iter = 5 J = 39.616 max(relative change in state) = 0.93748E-01
n_iter = 6 J = 39.458 max(relative change in state) = 0.17617
n_iter = 7 J = 39.421 max(relative change in state) = 0.69961E-01
n_iter = 8 J = 39.369 max(relative change in state) = 0.42762E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 189 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 190 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 190 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 18.033 max(relative change in state) = -
n_iter = 2 J = 14.965 max(relative change in state) = 0.28761
n_iter = 3 J = 10.744 max(relative change in state) = 0.69036
n_iter = 4 J = 10.522 max(relative change in state) = 0.32328
n_iter = 5 J = 10.386 max(relative change in state) = 0.26671
n_iter = 6 J = 10.342 max(relative change in state) = 0.22549E-01
n_iter = 7 J = 10.335 max(relative change in state) = 0.21288E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 190 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 191 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 191 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.329 max(relative change in state) = -
n_iter = 2 J = 59.069 max(relative change in state) = 0.48646
n_iter = 3 J = 41.672 max(relative change in state) = 1.3602
n_iter = 4 J = 40.794 max(relative change in state) = 0.47483
n_iter = 5 J = 40.599 max(relative change in state) = 0.40507
n_iter = 6 J = 40.395 max(relative change in state) = 0.62793E-01
n_iter = 7 J = 40.374 max(relative change in state) = 0.23244E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 191 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 192 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 192 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 65.629 max(relative change in state) = -
n_iter = 2 J = 54.120 max(relative change in state) = 0.53939
n_iter = 3 J = 36.321 max(relative change in state) = 1.4731
n_iter = 4 J = 36.236 max(relative change in state) = 0.52801
n_iter = 5 J = 35.879 max(relative change in state) = 0.30564
n_iter = 6 J = 35.837 max(relative change in state) = 0.12479
n_iter = 7 J = 35.811 max(relative change in state) = 0.66872E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 192 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 193 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 193 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 72.074 max(relative change in state) = -
n_iter = 2 J = 59.206 max(relative change in state) = 0.46172
n_iter = 3 J = 35.272 max(relative change in state) = 1.6149
n_iter = 4 J = 33.972 max(relative change in state) = 0.28681
n_iter = 5 J = 36.457 max(relative change in state) = 0.66269
n_iter = 6 J = 33.679 max(relative change in state) = 0.54100
n_iter = 7 J = 33.615 max(relative change in state) = 0.22829E-01
n_iter = 8 J = 33.455 max(relative change in state) = 0.11825
n_iter = 9 J = 33.443 max(relative change in state) = 0.55671E-01
n_iter = 10 J = 33.424 max(relative change in state) = 0.23673E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 193 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 194 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 194 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 78.647 max(relative change in state) = -
n_iter = 2 J = 64.755 max(relative change in state) = 0.59961
n_iter = 3 J = 43.104 max(relative change in state) = 2.2660
n_iter = 4 J = 42.616 max(relative change in state) = 0.25448
n_iter = 5 J = 42.582 max(relative change in state) = 0.26112
n_iter = 6 J = 42.426 max(relative change in state) = 0.60202E-01
n_iter = 7 J = 42.406 max(relative change in state) = 0.21621E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 194 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 195 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 195 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 195 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 196 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 196 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 61.303 max(relative change in state) = -
n_iter = 2 J = 51.136 max(relative change in state) = 0.52037
n_iter = 3 J = 41.786 max(relative change in state) = 1.3799
n_iter = 4 J = 41.500 max(relative change in state) = 0.35404
n_iter = 5 J = 40.989 max(relative change in state) = 0.23909
n_iter = 6 J = 40.967 max(relative change in state) = 0.56641E-01
n_iter = 7 J = 40.918 max(relative change in state) = 0.10620
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 196 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 197 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 197 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 187.21 max(relative change in state) = -
n_iter = 2 J = 131.06 max(relative change in state) = 4.3543
n_iter = 3 J = 123.33 max(relative change in state) = 1.0499
n_iter = 4 J = 122.39 max(relative change in state) = 0.30954
n_iter = 5 J = 122.62 max(relative change in state) = 0.63115
n_iter = 6 J = 122.08 max(relative change in state) = 0.27943
n_iter = 7 J = 122.03 max(relative change in state) = 0.94636E-01
n_iter = 8 J = 121.96 max(relative change in state) = 0.86234E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 197 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 198 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 198 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 134.13 max(relative change in state) = -
n_iter = 2 J = 110.97 max(relative change in state) = 0.87089
n_iter = 3 J = 77.263 max(relative change in state) = 2.1997
n_iter = 4 J = 79.135 max(relative change in state) = 1.4775
n_iter = 5 J = 75.731 max(relative change in state) = 0.94027
n_iter = 6 J = 75.502 max(relative change in state) = 0.18259
n_iter = 7 J = 75.231 max(relative change in state) = 0.31491
n_iter = 8 J = 74.991 max(relative change in state) = 0.89376E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 198 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 199 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 199 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.384 max(relative change in state) = -
n_iter = 2 J = 57.188 max(relative change in state) = 0.57107
n_iter = 3 J = 37.225 max(relative change in state) = 1.5057
n_iter = 4 J = 36.164 max(relative change in state) = 0.26950
n_iter = 5 J = 36.936 max(relative change in state) = 0.99969
n_iter = 6 J = 35.915 max(relative change in state) = 0.78436
n_iter = 7 J = 35.883 max(relative change in state) = 0.85399E-01
n_iter = 8 J = 35.867 max(relative change in state) = 0.10456
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 199 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 200 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 200 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 92.610 max(relative change in state) = -
n_iter = 2 J = 78.613 max(relative change in state) = 0.68339
n_iter = 3 J = 68.699 max(relative change in state) = 1.3548
n_iter = 4 J = 67.343 max(relative change in state) = 0.36760
n_iter = 5 J = 66.441 max(relative change in state) = 0.46320
n_iter = 6 J = 65.963 max(relative change in state) = 0.86692E-01
n_iter = 7 J = 65.282 max(relative change in state) = 0.26320
n_iter = 8 J = 64.896 max(relative change in state) = 0.21360
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 200 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 201 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 201 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 231.08 max(relative change in state) = -
n_iter = 2 J = 312.16 max(relative change in state) = 6.0477
n_iter = 3 J = 184.92 max(relative change in state) = 4.1895
n_iter = 4 J = 183.48 max(relative change in state) = 0.55623
n_iter = 5 J = 181.89 max(relative change in state) = 0.22056
n_iter = 6 J = 181.17 max(relative change in state) = 0.60462
n_iter = 7 J = 180.90 max(relative change in state) = 0.12118
n_iter = 8 J = 180.71 max(relative change in state) = 0.19319
n_iter = 9 J = 180.70 max(relative change in state) = 0.68709E-01
n_iter = 10 J = 180.62 max(relative change in state) = 0.31724E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 201 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 202 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 202 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 226.37 max(relative change in state) = -
n_iter = 2 J = 227.50 max(relative change in state) = 4.4808
n_iter = 3 J = 166.15 max(relative change in state) = 3.0090
n_iter = 4 J = 164.92 max(relative change in state) = 0.75728
n_iter = 5 J = 163.80 max(relative change in state) = 0.24391
n_iter = 6 J = 163.32 max(relative change in state) = 0.34465
n_iter = 7 J = 163.04 max(relative change in state) = 0.88938E-01
n_iter = 8 J = 162.76 max(relative change in state) = 0.82454E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 202 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 203 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 203 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 170.33 max(relative change in state) = -
n_iter = 2 J = 107.39 max(relative change in state) = 2.2867
n_iter = 3 J = 90.494 max(relative change in state) = 1.1823
n_iter = 4 J = 104.02 max(relative change in state) = 2.5694
n_iter = 5 J = 88.902 max(relative change in state) = 1.9948
n_iter = 6 J = 88.567 max(relative change in state) = 0.70083E-01
n_iter = 7 J = 87.433 max(relative change in state) = 0.30332
n_iter = 8 J = 87.462 max(relative change in state) = 0.41315
n_iter = 9 J = 87.291 max(relative change in state) = 0.20368
n_iter = 10 J = 87.271 max(relative change in state) = 0.91935E-01
n_iter = 11 J = 87.255 max(relative change in state) = 0.40934E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 203 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 204 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 204 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 186.92 max(relative change in state) = -
n_iter = 2 J = 118.42 max(relative change in state) = 3.0285
n_iter = 3 J = 107.12 max(relative change in state) = 1.0548
n_iter = 4 J = 107.06 max(relative change in state) = 1.0912
n_iter = 5 J = 104.88 max(relative change in state) = 0.70299
n_iter = 6 J = 104.75 max(relative change in state) = 0.19354
n_iter = 7 J = 104.63 max(relative change in state) = 0.17652
n_iter = 8 J = 104.49 max(relative change in state) = 0.59741E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 204 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 205 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 205 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 110.72 max(relative change in state) = -
n_iter = 2 J = 91.727 max(relative change in state) = 0.73782
n_iter = 3 J = 67.659 max(relative change in state) = 2.4669
n_iter = 4 J = 68.403 max(relative change in state) = 0.93077
n_iter = 5 J = 67.028 max(relative change in state) = 0.58432
n_iter = 6 J = 66.920 max(relative change in state) = 0.11681
n_iter = 7 J = 66.776 max(relative change in state) = 0.22032
n_iter = 8 J = 66.632 max(relative change in state) = 0.81470E-01
n_iter = 9 J = 66.664 max(relative change in state) = 0.59592
n_iter = 10 J = 66.359 max(relative change in state) = 0.39673
n_iter = 11 J = 66.331 max(relative change in state) = 0.43986E-01
n_iter = 12 J = 66.325 max(relative change in state) = 0.87017E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 205 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 206 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 206 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 115.99 max(relative change in state) = -
n_iter = 2 J = 95.636 max(relative change in state) = 0.60256
n_iter = 3 J = 62.568 max(relative change in state) = 1.7365
n_iter = 4 J = 69.318 max(relative change in state) = 1.8137
n_iter = 5 J = 61.679 max(relative change in state) = 1.4350
n_iter = 6 J = 61.538 max(relative change in state) = 0.73691E-01
n_iter = 7 J = 61.187 max(relative change in state) = 0.21904
n_iter = 8 J = 61.063 max(relative change in state) = 0.20505
n_iter = 9 J = 60.985 max(relative change in state) = 0.11291
n_iter = 10 J = 60.961 max(relative change in state) = 0.44058E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 206 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 207 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 207 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 325.58 max(relative change in state) = -
n_iter = 2 J = 259.36 max(relative change in state) = 8.0151
n_iter = 3 J = 188.88 max(relative change in state) = 3.7396
n_iter = 4 J = 194.08 max(relative change in state) = 2.0262
n_iter = 5 J = 186.29 max(relative change in state) = 1.2947
n_iter = 6 J = 185.67 max(relative change in state) = 0.13585
n_iter = 7 J = 183.88 max(relative change in state) = 0.61127
n_iter = 8 J = 182.37 max(relative change in state) = 0.20292
n_iter = 9 J = 182.00 max(relative change in state) = 0.71153
n_iter = 10 J = 181.60 max(relative change in state) = 0.20141
n_iter = 11 J = 181.48 max(relative change in state) = 0.30040
n_iter = 12 J = 181.39 max(relative change in state) = 0.98974E-01
n_iter = 13 J = 181.29 max(relative change in state) = 0.15134
n_iter = 14 J = 181.26 max(relative change in state) = 0.57235E-01
n_iter = 15 J = 181.23 max(relative change in state) = 0.20491
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 207 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 208 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 208 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 135.86 max(relative change in state) = -
n_iter = 2 J = 113.96 max(relative change in state) = 0.81914
n_iter = 3 J = 93.098 max(relative change in state) = 1.4507
n_iter = 4 J = 91.702 max(relative change in state) = 0.43180
n_iter = 5 J = 93.344 max(relative change in state) = 1.2814
n_iter = 6 J = 91.361 max(relative change in state) = 0.85384
n_iter = 7 J = 91.333 max(relative change in state) = 0.39243E-01
n_iter = 8 J = 91.309 max(relative change in state) = 0.12285
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 208 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 209 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 209 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 137.29 max(relative change in state) = -
n_iter = 2 J = 114.28 max(relative change in state) = 0.67782
n_iter = 3 J = 79.686 max(relative change in state) = 1.8258
n_iter = 4 J = 89.685 max(relative change in state) = 2.4870
n_iter = 5 J = 78.232 max(relative change in state) = 2.0180
n_iter = 6 J = 77.652 max(relative change in state) = 0.12715
n_iter = 7 J = 75.213 max(relative change in state) = 0.99510
n_iter = 8 J = 76.516 max(relative change in state) = 1.2556
n_iter = 9 J = 74.578 max(relative change in state) = 0.79586
n_iter = 10 J = 74.443 max(relative change in state) = 0.13707
n_iter = 11 J = 74.374 max(relative change in state) = 0.20230
n_iter = 12 J = 74.115 max(relative change in state) = 0.17631
n_iter = 13 J = 74.099 max(relative change in state) = 0.24615
n_iter = 14 J = 73.819 max(relative change in state) = 0.14235
n_iter = 15 J = 73.860 max(relative change in state) = 0.27962
n_iter = 16 J = 73.672 max(relative change in state) = 0.15400
n_iter = 17 J = 73.577 max(relative change in state) = 0.11951
n_iter = 18 J = 73.597 max(relative change in state) = 0.27519
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 209 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 210 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 210 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.343 max(relative change in state) = -
n_iter = 2 J = 59.766 max(relative change in state) = 0.69332
n_iter = 3 J = 49.049 max(relative change in state) = 1.0894
n_iter = 4 J = 47.349 max(relative change in state) = 0.35425
n_iter = 5 J = 50.073 max(relative change in state) = 0.25222
n_iter = 6 J = 47.224 max(relative change in state) = 0.20662
n_iter = 7 J = 47.184 max(relative change in state) = 0.11412E-01
n_iter = 8 J = 47.022 max(relative change in state) = 0.15632
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 210 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 211 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 211 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 59.943 max(relative change in state) = -
n_iter = 2 J = 49.470 max(relative change in state) = 0.36441
n_iter = 3 J = 31.869 max(relative change in state) = 1.1633
n_iter = 4 J = 29.815 max(relative change in state) = 0.83843
n_iter = 5 J = 28.251 max(relative change in state) = 0.56175
n_iter = 6 J = 28.003 max(relative change in state) = 0.88746E-01
n_iter = 7 J = 27.805 max(relative change in state) = 0.14375
n_iter = 8 J = 27.556 max(relative change in state) = 0.10987
n_iter = 9 J = 27.550 max(relative change in state) = 0.54333
n_iter = 10 J = 27.330 max(relative change in state) = 0.34717
n_iter = 11 J = 27.289 max(relative change in state) = 0.67932E-01
n_iter = 12 J = 27.272 max(relative change in state) = 0.21264E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 211 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 212 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 212 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 90.814 max(relative change in state) = -
n_iter = 2 J = 74.734 max(relative change in state) = 0.48254
n_iter = 3 J = 43.124 max(relative change in state) = 2.4016
n_iter = 4 J = 44.710 max(relative change in state) = 1.1948
n_iter = 5 J = 42.392 max(relative change in state) = 0.81903
n_iter = 6 J = 42.221 max(relative change in state) = 0.11322
n_iter = 7 J = 41.910 max(relative change in state) = 0.37092
n_iter = 8 J = 41.582 max(relative change in state) = 0.15267
n_iter = 9 J = 41.910 max(relative change in state) = 0.49796
n_iter = 10 J = 41.388 max(relative change in state) = 0.17854
n_iter = 11 J = 41.337 max(relative change in state) = 0.90450E-01
n_iter = 12 J = 41.299 max(relative change in state) = 0.13300
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 212 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 213 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 213 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 50.179 max(relative change in state) = -
n_iter = 2 J = 41.628 max(relative change in state) = 0.48714
n_iter = 3 J = 28.938 max(relative change in state) = 1.7138
n_iter = 4 J = 39.483 max(relative change in state) = 2.5020
n_iter = 5 J = 28.502 max(relative change in state) = 2.0993
n_iter = 6 J = 28.396 max(relative change in state) = 0.20524E-01
n_iter = 7 J = 27.998 max(relative change in state) = 0.29975
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 213 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 214 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 214 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 68.736 max(relative change in state) = -
n_iter = 2 J = 57.277 max(relative change in state) = 0.62999
n_iter = 3 J = 44.928 max(relative change in state) = 1.3285
n_iter = 4 J = 43.468 max(relative change in state) = 0.41600
n_iter = 5 J = 43.289 max(relative change in state) = 0.50442
n_iter = 6 J = 42.617 max(relative change in state) = 0.13760
n_iter = 7 J = 42.495 max(relative change in state) = 0.40701E-01
n_iter = 8 J = 42.438 max(relative change in state) = 0.18366
n_iter = 9 J = 42.411 max(relative change in state) = 0.91320E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 214 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 215 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 215 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 38.899 max(relative change in state) = -
n_iter = 2 J = 32.227 max(relative change in state) = 0.34427
n_iter = 3 J = 21.700 max(relative change in state) = 1.3344
n_iter = 4 J = 21.625 max(relative change in state) = 0.27283
n_iter = 5 J = 21.388 max(relative change in state) = 0.15799
n_iter = 6 J = 21.346 max(relative change in state) = 0.84577E-01
n_iter = 7 J = 21.318 max(relative change in state) = 0.98758E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 215 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 216 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 216 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 216 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 217 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 217 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 242.64 max(relative change in state) = -
n_iter = 2 J = 113.41 max(relative change in state) = 3.7902
n_iter = 3 J = 102.34 max(relative change in state) = 0.95507
n_iter = 4 J = 100.24 max(relative change in state) = 1.3308
n_iter = 5 J = 96.876 max(relative change in state) = 0.88758
n_iter = 6 J = 96.452 max(relative change in state) = 0.20900
n_iter = 7 J = 95.958 max(relative change in state) = 0.39436
n_iter = 8 J = 95.574 max(relative change in state) = 0.11139
n_iter = 9 J = 95.421 max(relative change in state) = 0.32477
n_iter = 10 J = 95.337 max(relative change in state) = 0.86371E-01
n_iter = 11 J = 95.284 max(relative change in state) = 0.49731E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 217 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 218 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 218 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 402.64 max(relative change in state) = -
n_iter = 2 J = 448.53 max(relative change in state) = 10.225
n_iter = 3 J = 260.90 max(relative change in state) = 5.9017
n_iter = 4 J = 259.58 max(relative change in state) = 1.1377
n_iter = 5 J = 257.38 max(relative change in state) = 0.34333
n_iter = 6 J = 256.13 max(relative change in state) = 0.56419
n_iter = 7 J = 255.47 max(relative change in state) = 0.29155
n_iter = 8 J = 254.67 max(relative change in state) = 0.39497
n_iter = 9 J = 254.39 max(relative change in state) = 0.18783
n_iter = 10 J = 254.34 max(relative change in state) = 0.58668E-01
n_iter = 11 J = 254.26 max(relative change in state) = 0.10365
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 218 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 219 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 219 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 59.742 max(relative change in state) = -
n_iter = 2 J = 49.418 max(relative change in state) = 0.35566
n_iter = 3 J = 31.746 max(relative change in state) = 1.7140
n_iter = 4 J = 32.948 max(relative change in state) = 0.92112
n_iter = 5 J = 31.259 max(relative change in state) = 0.64037
n_iter = 6 J = 31.154 max(relative change in state) = 0.72904E-01
n_iter = 7 J = 30.902 max(relative change in state) = 0.25796
n_iter = 8 J = 30.737 max(relative change in state) = 0.96541E-01
n_iter = 9 J = 30.707 max(relative change in state) = 0.26766
n_iter = 10 J = 30.650 max(relative change in state) = 0.69239E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 219 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 220 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 220 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 198.95 max(relative change in state) = -
n_iter = 2 J = 97.178 max(relative change in state) = 3.1963
n_iter = 3 J = 74.429 max(relative change in state) = 1.8788
n_iter = 4 J = 72.125 max(relative change in state) = 0.42183
n_iter = 5 J = 74.809 max(relative change in state) = 0.72549
n_iter = 6 J = 71.545 max(relative change in state) = 0.50232
n_iter = 7 J = 71.489 max(relative change in state) = 0.16023E-01
n_iter = 8 J = 71.263 max(relative change in state) = 0.16066
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 220 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 221 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 221 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 72.540 max(relative change in state) = -
n_iter = 2 J = 59.866 max(relative change in state) = 0.57048
n_iter = 3 J = 40.255 max(relative change in state) = 1.7589
n_iter = 4 J = 45.219 max(relative change in state) = 1.9343
n_iter = 5 J = 39.728 max(relative change in state) = 1.4916
n_iter = 6 J = 39.600 max(relative change in state) = 0.33226E-01
n_iter = 7 J = 39.037 max(relative change in state) = 0.35469
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 221 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 222 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 222 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 171.74 max(relative change in state) = -
n_iter = 2 J = 117.49 max(relative change in state) = 1.8762
n_iter = 3 J = 102.27 max(relative change in state) = 1.9032
n_iter = 4 J = 98.695 max(relative change in state) = 1.1733
n_iter = 5 J = 101.54 max(relative change in state) = 0.60165
n_iter = 6 J = 98.150 max(relative change in state) = 0.48683
n_iter = 7 J = 97.958 max(relative change in state) = 0.27853E-01
n_iter = 8 J = 97.844 max(relative change in state) = 0.15426
n_iter = 9 J = 97.593 max(relative change in state) = 0.90019E-01
n_iter = 10 J = 97.416 max(relative change in state) = 0.79729E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 222 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 223 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 223 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 135.92 max(relative change in state) = -
n_iter = 2 J = 112.54 max(relative change in state) = 0.83953
n_iter = 3 J = 83.345 max(relative change in state) = 2.0463
n_iter = 4 J = 90.569 max(relative change in state) = 1.2909
n_iter = 5 J = 82.950 max(relative change in state) = 1.0719
n_iter = 6 J = 82.838 max(relative change in state) = 0.23571E-01
n_iter = 7 J = 82.360 max(relative change in state) = 0.26401
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 223 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 224 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 224 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 137.70 max(relative change in state) = -
n_iter = 2 J = 112.93 max(relative change in state) = 0.68213
n_iter = 3 J = 73.960 max(relative change in state) = 1.8983
n_iter = 4 J = 78.702 max(relative change in state) = 1.7216
n_iter = 5 J = 73.228 max(relative change in state) = 1.3042
n_iter = 6 J = 73.027 max(relative change in state) = 0.53258E-01
n_iter = 7 J = 72.270 max(relative change in state) = 0.30444
n_iter = 8 J = 72.178 max(relative change in state) = 0.44349
n_iter = 9 J = 71.975 max(relative change in state) = 0.16356
n_iter = 10 J = 71.909 max(relative change in state) = 0.10538
n_iter = 11 J = 71.811 max(relative change in state) = 0.11969
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 224 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 225 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 225 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 97.880 max(relative change in state) = -
n_iter = 2 J = 84.561 max(relative change in state) = 1.0590
n_iter = 3 J = 78.908 max(relative change in state) = 0.68622
n_iter = 4 J = 79.749 max(relative change in state) = 0.60187
n_iter = 5 J = 77.673 max(relative change in state) = 0.47683
n_iter = 6 J = 77.638 max(relative change in state) = 0.53816E-01
n_iter = 7 J = 77.554 max(relative change in state) = 0.11214
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 225 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 226 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 226 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 31.469 max(relative change in state) = -
n_iter = 2 J = 26.011 max(relative change in state) = 0.40351
n_iter = 3 J = 17.339 max(relative change in state) = 1.1297
n_iter = 4 J = 17.073 max(relative change in state) = 0.25941
n_iter = 5 J = 17.195 max(relative change in state) = 0.39547
n_iter = 6 J = 16.960 max(relative change in state) = 0.19691
n_iter = 7 J = 16.951 max(relative change in state) = 0.11396E-01
n_iter = 8 J = 16.920 max(relative change in state) = 0.77572E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 226 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 227 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 227 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 37.583 max(relative change in state) = -
n_iter = 2 J = 31.506 max(relative change in state) = 0.51293
n_iter = 3 J = 25.372 max(relative change in state) = 1.3453
n_iter = 4 J = 24.943 max(relative change in state) = 0.25962
n_iter = 5 J = 25.762 max(relative change in state) = 0.56759
n_iter = 6 J = 24.881 max(relative change in state) = 0.43176
n_iter = 7 J = 24.872 max(relative change in state) = 0.93588E-02
n_iter = 8 J = 24.839 max(relative change in state) = 0.10511
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 227 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 228 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 228 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 182.92 max(relative change in state) = -
n_iter = 2 J = 129.97 max(relative change in state) = 3.4882
n_iter = 3 J = 118.69 max(relative change in state) = 0.79772
n_iter = 4 J = 115.68 max(relative change in state) = 0.87500
n_iter = 5 J = 113.75 max(relative change in state) = 0.63691
n_iter = 6 J = 113.35 max(relative change in state) = 0.68228E-01
n_iter = 7 J = 113.22 max(relative change in state) = 0.96932E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 228 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 229 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 229 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 282.31 max(relative change in state) = -
n_iter = 2 J = 209.88 max(relative change in state) = 5.3701
n_iter = 3 J = 170.75 max(relative change in state) = 2.6881
n_iter = 4 J = 166.19 max(relative change in state) = 1.0810
n_iter = 5 J = 161.93 max(relative change in state) = 0.63392
n_iter = 6 J = 160.75 max(relative change in state) = 0.51771
n_iter = 7 J = 159.81 max(relative change in state) = 0.37104
n_iter = 8 J = 159.38 max(relative change in state) = 0.58740
n_iter = 9 J = 158.78 max(relative change in state) = 0.20810
n_iter = 10 J = 158.67 max(relative change in state) = 0.34698E-01
n_iter = 11 J = 158.40 max(relative change in state) = 0.36008
n_iter = 12 J = 158.20 max(relative change in state) = 0.22864
n_iter = 13 J = 158.14 max(relative change in state) = 0.41728E-01
n_iter = 14 J = 158.11 max(relative change in state) = 0.18249E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 229 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 230 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 230 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 63.743 max(relative change in state) = -
n_iter = 2 J = 52.315 max(relative change in state) = 0.41176
n_iter = 3 J = 30.967 max(relative change in state) = 1.8447
n_iter = 4 J = 30.611 max(relative change in state) = 0.36770
n_iter = 5 J = 30.201 max(relative change in state) = 0.22608
n_iter = 6 J = 30.169 max(relative change in state) = 0.65815E-01
n_iter = 7 J = 30.093 max(relative change in state) = 0.11067
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 230 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 231 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 231 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.72 max(relative change in state) = -
n_iter = 2 J = 84.147 max(relative change in state) = 0.50981
n_iter = 3 J = 59.330 max(relative change in state) = 1.3847
n_iter = 4 J = 58.007 max(relative change in state) = 0.25580
n_iter = 5 J = 60.821 max(relative change in state) = 1.2008
n_iter = 6 J = 57.769 max(relative change in state) = 0.93235
n_iter = 7 J = 57.732 max(relative change in state) = 0.16335E-01
n_iter = 8 J = 57.568 max(relative change in state) = 0.13488
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 231 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 232 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 232 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 79.532 max(relative change in state) = -
n_iter = 2 J = 65.757 max(relative change in state) = 0.66744
n_iter = 3 J = 44.235 max(relative change in state) = 1.5816
n_iter = 4 J = 42.696 max(relative change in state) = 0.49668
n_iter = 5 J = 43.185 max(relative change in state) = 0.79651
n_iter = 6 J = 42.268 max(relative change in state) = 0.37315
n_iter = 7 J = 42.244 max(relative change in state) = 0.16630E-01
n_iter = 8 J = 42.196 max(relative change in state) = 0.21249
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 232 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 233 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 233 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 236.27 max(relative change in state) = -
n_iter = 2 J = 164.13 max(relative change in state) = 4.1033
n_iter = 3 J = 144.03 max(relative change in state) = 1.7294
n_iter = 4 J = 149.44 max(relative change in state) = 2.5139
n_iter = 5 J = 140.67 max(relative change in state) = 1.5792
n_iter = 6 J = 140.02 max(relative change in state) = 0.31487
n_iter = 7 J = 139.14 max(relative change in state) = 0.49774
n_iter = 8 J = 138.15 max(relative change in state) = 0.29601
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 233 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 234 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 234 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 99.607 max(relative change in state) = -
n_iter = 2 J = 82.997 max(relative change in state) = 0.54796
n_iter = 3 J = 60.873 max(relative change in state) = 1.6686
n_iter = 4 J = 62.538 max(relative change in state) = 1.1309
n_iter = 5 J = 60.003 max(relative change in state) = 0.77161
n_iter = 6 J = 59.859 max(relative change in state) = 0.11320
n_iter = 7 J = 59.601 max(relative change in state) = 0.28850
n_iter = 8 J = 59.378 max(relative change in state) = 0.12438
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 234 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 235 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 235 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.29 max(relative change in state) = -
n_iter = 2 J = 89.374 max(relative change in state) = 1.2102
n_iter = 3 J = 86.150 max(relative change in state) = 0.41939
n_iter = 4 J = 88.093 max(relative change in state) = 1.3843
n_iter = 5 J = 86.322 max(relative change in state) = 0.38223
n_iter = 6 J = 85.121 max(relative change in state) = 0.14223
n_iter = 7 J = 84.955 max(relative change in state) = 0.26892E-01
n_iter = 8 J = 84.672 max(relative change in state) = 0.91030E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 235 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 236 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 236 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 83.648 max(relative change in state) = -
n_iter = 2 J = 69.069 max(relative change in state) = 0.51199
n_iter = 3 J = 49.400 max(relative change in state) = 1.7326
n_iter = 4 J = 47.784 max(relative change in state) = 0.49326
n_iter = 5 J = 48.327 max(relative change in state) = 0.30263
n_iter = 6 J = 47.136 max(relative change in state) = 0.18080
n_iter = 7 J = 47.006 max(relative change in state) = 0.39557E-01
n_iter = 8 J = 46.323 max(relative change in state) = 0.40814
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 236 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 237 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 237 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 237 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 238 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 238 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 154.05 max(relative change in state) = -
n_iter = 2 J = 121.28 max(relative change in state) = 2.0524
n_iter = 3 J = 116.58 max(relative change in state) = 0.62017
n_iter = 4 J = 115.14 max(relative change in state) = 0.33323
n_iter = 5 J = 116.52 max(relative change in state) = 1.4189
n_iter = 6 J = 114.81 max(relative change in state) = 1.0537
n_iter = 7 J = 114.69 max(relative change in state) = 0.72192E-01
n_iter = 8 J = 114.71 max(relative change in state) = 0.25018
n_iter = 9 J = 114.57 max(relative change in state) = 0.23068
n_iter = 10 J = 114.51 max(relative change in state) = 0.97177E-01
n_iter = 11 J = 114.49 max(relative change in state) = 0.61956E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 238 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 239 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 239 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 133.68 max(relative change in state) = -
n_iter = 2 J = 109.32 max(relative change in state) = 0.88717
n_iter = 3 J = 55.284 max(relative change in state) = 4.4717
n_iter = 4 J = 54.672 max(relative change in state) = 0.27142
n_iter = 5 J = 54.344 max(relative change in state) = 0.20750
n_iter = 6 J = 54.240 max(relative change in state) = 0.40498E-01
n_iter = 7 J = 54.138 max(relative change in state) = 0.91516E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 239 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 240 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 240 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 158.64 max(relative change in state) = -
n_iter = 2 J = 103.33 max(relative change in state) = 1.4816
n_iter = 3 J = 65.179 max(relative change in state) = 2.5026
n_iter = 4 J = 63.659 max(relative change in state) = 0.86534
n_iter = 5 J = 61.959 max(relative change in state) = 0.54993
n_iter = 6 J = 61.841 max(relative change in state) = 0.11868
n_iter = 7 J = 61.706 max(relative change in state) = 0.18176
n_iter = 8 J = 61.549 max(relative change in state) = 0.81626E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 240 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 241 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 241 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 106.69 max(relative change in state) = -
n_iter = 2 J = 88.283 max(relative change in state) = 0.70439
n_iter = 3 J = 57.517 max(relative change in state) = 2.2110
n_iter = 4 J = 56.676 max(relative change in state) = 0.52766
n_iter = 5 J = 56.317 max(relative change in state) = 0.39672
n_iter = 6 J = 56.088 max(relative change in state) = 0.73706E-01
n_iter = 7 J = 55.963 max(relative change in state) = 0.51690E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 241 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 242 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 242 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 39.685 max(relative change in state) = -
n_iter = 2 J = 32.927 max(relative change in state) = 0.45346
n_iter = 3 J = 24.181 max(relative change in state) = 0.94331
n_iter = 4 J = 24.244 max(relative change in state) = 0.60747
n_iter = 5 J = 23.507 max(relative change in state) = 0.32871
n_iter = 6 J = 23.440 max(relative change in state) = 0.14242
n_iter = 7 J = 23.412 max(relative change in state) = 0.70894E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 242 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 243 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 243 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 86.428 max(relative change in state) = -
n_iter = 2 J = 70.879 max(relative change in state) = 0.49576
n_iter = 3 J = 46.381 max(relative change in state) = 1.5506
n_iter = 4 J = 48.776 max(relative change in state) = 1.2261
n_iter = 5 J = 52.902 max(relative change in state) = 1.2142
n_iter = 6 J = 48.717 max(relative change in state) = 0.82915
n_iter = 7 J = 48.546 max(relative change in state) = 0.86765E-01
n_iter = 8 J = 48.155 max(relative change in state) = 0.46134E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 243 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 244 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 244 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 256.87 max(relative change in state) = -
n_iter = 2 J = 203.32 max(relative change in state) = 5.8258
n_iter = 3 J = 159.91 max(relative change in state) = 2.8161
n_iter = 4 J = 157.59 max(relative change in state) = 0.59124
n_iter = 5 J = 155.81 max(relative change in state) = 0.34574
n_iter = 6 J = 155.41 max(relative change in state) = 0.26063
n_iter = 7 J = 155.40 max(relative change in state) = 0.24812
n_iter = 8 J = 154.80 max(relative change in state) = 0.37690E-01
n_iter = 9 J = 154.75 max(relative change in state) = 0.36492E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 244 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 245 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 245 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 295.83 max(relative change in state) = -
n_iter = 2 J = 186.20 max(relative change in state) = 8.1180
n_iter = 3 J = 152.44 max(relative change in state) = 2.3487
n_iter = 4 J = 150.93 max(relative change in state) = 0.61151
n_iter = 5 J = 150.30 max(relative change in state) = 0.42032
n_iter = 6 J = 150.00 max(relative change in state) = 0.81352E-01
n_iter = 7 J = 149.92 max(relative change in state) = 0.44615E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 245 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 246 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 246 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 237.70 max(relative change in state) = -
n_iter = 2 J = 408.31 max(relative change in state) = 8.3070
n_iter = 3 J = 198.09 max(relative change in state) = 6.3883
n_iter = 4 J = 196.68 max(relative change in state) = 0.61723
n_iter = 5 J = 195.41 max(relative change in state) = 0.21058
n_iter = 6 J = 195.02 max(relative change in state) = 0.46856
n_iter = 7 J = 194.90 max(relative change in state) = 0.44232E-01
n_iter = 8 J = 194.81 max(relative change in state) = 0.24114
n_iter = 9 J = 194.77 max(relative change in state) = 0.15207
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 246 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 247 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 247 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 103.65 max(relative change in state) = -
n_iter = 2 J = 86.537 max(relative change in state) = 0.67619
n_iter = 3 J = 58.822 max(relative change in state) = 2.1728
n_iter = 4 J = 57.433 max(relative change in state) = 0.23508
n_iter = 5 J = 59.795 max(relative change in state) = 1.0341
n_iter = 6 J = 57.031 max(relative change in state) = 0.74948
n_iter = 7 J = 56.956 max(relative change in state) = 0.30880E-01
n_iter = 8 J = 56.810 max(relative change in state) = 0.16040
n_iter = 9 J = 56.763 max(relative change in state) = 0.28341
n_iter = 10 J = 56.678 max(relative change in state) = 0.87271E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 247 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 248 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 248 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 179.41 max(relative change in state) = -
n_iter = 2 J = 99.068 max(relative change in state) = 2.5599
n_iter = 3 J = 70.367 max(relative change in state) = 2.1432
n_iter = 4 J = 67.740 max(relative change in state) = 0.40297
n_iter = 5 J = 69.335 max(relative change in state) = 0.82531
n_iter = 6 J = 66.944 max(relative change in state) = 0.46094
n_iter = 7 J = 66.871 max(relative change in state) = 0.18921E-01
n_iter = 8 J = 66.504 max(relative change in state) = 0.22140
n_iter = 9 J = 66.656 max(relative change in state) = 0.32513
n_iter = 10 J = 66.473 max(relative change in state) = 0.23994
n_iter = 11 J = 66.466 max(relative change in state) = 0.14452E-01
n_iter = 12 J = 66.444 max(relative change in state) = 0.58075E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 248 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 249 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 249 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 457.70 max(relative change in state) = -
n_iter = 2 J = 283.90 max(relative change in state) = 9.3772
n_iter = 3 J = 215.79 max(relative change in state) = 3.1711
n_iter = 4 J = 202.83 max(relative change in state) = 1.2854
n_iter = 5 J = 202.84 max(relative change in state) = 1.0794
n_iter = 6 J = 196.40 max(relative change in state) = 0.47986
n_iter = 7 J = 195.44 max(relative change in state) = 0.78993E-01
n_iter = 8 J = 194.26 max(relative change in state) = 0.39734
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 249 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 250 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 250 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 185.43 max(relative change in state) = -
n_iter = 2 J = 143.55 max(relative change in state) = 3.2836
n_iter = 3 J = 132.88 max(relative change in state) = 1.3761
n_iter = 4 J = 133.64 max(relative change in state) = 0.73259
n_iter = 5 J = 132.11 max(relative change in state) = 0.58982
n_iter = 6 J = 131.76 max(relative change in state) = 0.68423E-01
n_iter = 7 J = 131.29 max(relative change in state) = 0.19337
n_iter = 8 J = 131.12 max(relative change in state) = 0.17172
n_iter = 9 J = 130.93 max(relative change in state) = 0.82749E-01
n_iter = 10 J = 130.76 max(relative change in state) = 0.54048E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 250 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 251 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 251 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.118 max(relative change in state) = -
n_iter = 2 J = 42.425 max(relative change in state) = 0.48524
n_iter = 3 J = 30.560 max(relative change in state) = 1.2596
n_iter = 4 J = 29.253 max(relative change in state) = 0.36275
n_iter = 5 J = 29.559 max(relative change in state) = 0.23648
n_iter = 6 J = 29.053 max(relative change in state) = 0.98540E-01
n_iter = 7 J = 29.045 max(relative change in state) = 0.16599E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 251 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 252 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 252 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 107.73 max(relative change in state) = -
n_iter = 2 J = 88.522 max(relative change in state) = 0.63349
n_iter = 3 J = 51.333 max(relative change in state) = 2.4826
n_iter = 4 J = 49.441 max(relative change in state) = 0.31654
n_iter = 5 J = 52.831 max(relative change in state) = 1.0488
n_iter = 6 J = 49.030 max(relative change in state) = 0.78523
n_iter = 7 J = 48.982 max(relative change in state) = 0.21396E-01
n_iter = 8 J = 48.885 max(relative change in state) = 0.12570
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 252 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 253 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 253 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 348.03 max(relative change in state) = -
n_iter = 2 J = 194.20 max(relative change in state) = 6.4509
n_iter = 3 J = 158.34 max(relative change in state) = 2.1366
n_iter = 4 J = 154.15 max(relative change in state) = 0.44849
n_iter = 5 J = 152.60 max(relative change in state) = 0.93157
n_iter = 6 J = 151.65 max(relative change in state) = 0.79213
n_iter = 7 J = 151.31 max(relative change in state) = 0.56614E-01
n_iter = 8 J = 151.26 max(relative change in state) = 0.46582E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 253 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 254 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 254 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 97.878 max(relative change in state) = -
n_iter = 2 J = 81.050 max(relative change in state) = 0.63881
n_iter = 3 J = 52.802 max(relative change in state) = 2.3181
n_iter = 4 J = 50.827 max(relative change in state) = 0.53639
n_iter = 5 J = 50.366 max(relative change in state) = 0.50474
n_iter = 6 J = 49.801 max(relative change in state) = 0.12091
n_iter = 7 J = 49.736 max(relative change in state) = 0.25794E-01
n_iter = 8 J = 49.688 max(relative change in state) = 0.19925
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 254 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 255 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 255 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 128.69 max(relative change in state) = -
n_iter = 2 J = 105.37 max(relative change in state) = 0.46807
n_iter = 3 J = 51.684 max(relative change in state) = 1.9462
n_iter = 4 J = 49.467 max(relative change in state) = 0.40247
n_iter = 5 J = 54.288 max(relative change in state) = 1.0279
n_iter = 6 J = 49.017 max(relative change in state) = 0.82586
n_iter = 7 J = 48.887 max(relative change in state) = 0.54812E-01
n_iter = 8 J = 48.614 max(relative change in state) = 0.17685
n_iter = 9 J = 48.525 max(relative change in state) = 0.10602
n_iter = 10 J = 48.478 max(relative change in state) = 0.34118E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 255 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 256 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 256 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 75.249 max(relative change in state) = -
n_iter = 2 J = 62.305 max(relative change in state) = 0.59429
n_iter = 3 J = 43.111 max(relative change in state) = 1.3993
n_iter = 4 J = 42.164 max(relative change in state) = 0.81587
n_iter = 5 J = 40.759 max(relative change in state) = 0.37932
n_iter = 6 J = 40.511 max(relative change in state) = 0.26635
n_iter = 7 J = 40.337 max(relative change in state) = 0.19788
n_iter = 8 J = 40.162 max(relative change in state) = 0.11810
n_iter = 9 J = 40.252 max(relative change in state) = 0.16828
n_iter = 10 J = 40.080 max(relative change in state) = 0.79313E-01
n_iter = 11 J = 40.075 max(relative change in state) = 0.19368E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 256 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 257 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 257 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 203.26 max(relative change in state) = -
n_iter = 2 J = 104.57 max(relative change in state) = 3.3478
n_iter = 3 J = 85.303 max(relative change in state) = 1.7118
n_iter = 4 J = 80.564 max(relative change in state) = 1.0081
n_iter = 5 J = 86.510 max(relative change in state) = 1.8092
n_iter = 6 J = 79.975 max(relative change in state) = 1.3870
n_iter = 7 J = 79.846 max(relative change in state) = 0.27633E-01
n_iter = 8 J = 79.391 max(relative change in state) = 0.25359
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 257 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 258 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 258 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.241 max(relative change in state) = -
n_iter = 2 J = 57.483 max(relative change in state) = 0.52484
n_iter = 3 J = 37.686 max(relative change in state) = 1.9768
n_iter = 4 J = 39.980 max(relative change in state) = 1.2220
n_iter = 5 J = 37.057 max(relative change in state) = 0.94522
n_iter = 6 J = 36.987 max(relative change in state) = 0.91266E-01
n_iter = 7 J = 36.893 max(relative change in state) = 0.21863
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 258 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 259 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 259 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 130.62 max(relative change in state) = -
n_iter = 2 J = 108.62 max(relative change in state) = 0.88908
n_iter = 3 J = 75.720 max(relative change in state) = 1.7597
n_iter = 4 J = 74.983 max(relative change in state) = 0.80306
n_iter = 5 J = 73.924 max(relative change in state) = 0.81528
n_iter = 6 J = 73.491 max(relative change in state) = 0.15172
n_iter = 7 J = 73.409 max(relative change in state) = 0.25405E-01
n_iter = 8 J = 73.214 max(relative change in state) = 0.13800
n_iter = 9 J = 73.263 max(relative change in state) = 0.14613
n_iter = 10 J = 73.085 max(relative change in state) = 0.65297E-01
n_iter = 11 J = 73.057 max(relative change in state) = 0.20115E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 259 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 260 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 260 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 148.78 max(relative change in state) = -
n_iter = 2 J = 115.80 max(relative change in state) = 0.98708
n_iter = 3 J = 92.449 max(relative change in state) = 2.0086
n_iter = 4 J = 95.264 max(relative change in state) = 1.3384
n_iter = 5 J = 90.594 max(relative change in state) = 0.99592
n_iter = 6 J = 90.403 max(relative change in state) = 0.14944
n_iter = 7 J = 90.162 max(relative change in state) = 0.33951
n_iter = 8 J = 89.828 max(relative change in state) = 0.10541
n_iter = 9 J = 89.815 max(relative change in state) = 0.15171
n_iter = 10 J = 89.512 max(relative change in state) = 0.13678
n_iter = 11 J = 89.451 max(relative change in state) = 0.24934E-01
n_iter = 12 J = 89.321 max(relative change in state) = 0.82235E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 260 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 261 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 261 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 126.81 max(relative change in state) = -
n_iter = 2 J = 105.32 max(relative change in state) = 0.56640
n_iter = 3 J = 77.678 max(relative change in state) = 1.5562
n_iter = 4 J = 77.056 max(relative change in state) = 0.53311
n_iter = 5 J = 76.653 max(relative change in state) = 0.63886
n_iter = 6 J = 76.265 max(relative change in state) = 0.15666
n_iter = 7 J = 76.157 max(relative change in state) = 0.34270E-01
n_iter = 8 J = 75.996 max(relative change in state) = 0.13178
n_iter = 9 J = 76.136 max(relative change in state) = 0.15283
n_iter = 10 J = 75.900 max(relative change in state) = 0.10894
n_iter = 11 J = 75.866 max(relative change in state) = 0.20642E-01
n_iter = 12 J = 75.875 max(relative change in state) = 0.10537
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 261 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 262 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 262 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 120.13 max(relative change in state) = -
n_iter = 2 J = 98.724 max(relative change in state) = 0.64719
n_iter = 3 J = 60.642 max(relative change in state) = 2.0626
n_iter = 4 J = 59.496 max(relative change in state) = 0.25214
n_iter = 5 J = 60.178 max(relative change in state) = 0.97446
n_iter = 6 J = 58.962 max(relative change in state) = 0.62764
n_iter = 7 J = 58.914 max(relative change in state) = 0.12125
n_iter = 8 J = 58.885 max(relative change in state) = 0.69554E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 262 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 263 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 263 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 185.53 max(relative change in state) = -
n_iter = 2 J = 104.50 max(relative change in state) = 3.4761
n_iter = 3 J = 85.166 max(relative change in state) = 1.5235
n_iter = 4 J = 85.637 max(relative change in state) = 1.1791
n_iter = 5 J = 82.598 max(relative change in state) = 0.74828
n_iter = 6 J = 82.454 max(relative change in state) = 0.21602
n_iter = 7 J = 82.371 max(relative change in state) = 0.15001
n_iter = 8 J = 82.228 max(relative change in state) = 0.89681E-01
n_iter = 9 J = 82.039 max(relative change in state) = 0.32116
n_iter = 10 J = 81.928 max(relative change in state) = 0.24293
n_iter = 11 J = 81.898 max(relative change in state) = 0.36277E-01
n_iter = 12 J = 81.872 max(relative change in state) = 0.36210E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 263 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 264 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 264 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 52.192 max(relative change in state) = -
n_iter = 2 J = 43.640 max(relative change in state) = 0.44825
n_iter = 3 J = 33.109 max(relative change in state) = 1.1072
n_iter = 4 J = 32.922 max(relative change in state) = 0.78162
n_iter = 5 J = 31.771 max(relative change in state) = 0.42503
n_iter = 6 J = 31.603 max(relative change in state) = 0.20926
n_iter = 7 J = 31.530 max(relative change in state) = 0.18754
n_iter = 8 J = 31.415 max(relative change in state) = 0.72276E-01
n_iter = 9 J = 31.284 max(relative change in state) = 0.12248
n_iter = 10 J = 31.201 max(relative change in state) = 0.50285E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 264 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 265 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 265 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 420.32 max(relative change in state) = -
n_iter = 2 J = 460.26 max(relative change in state) = 12.322
n_iter = 3 J = 254.14 max(relative change in state) = 6.7322
n_iter = 4 J = 248.22 max(relative change in state) = 0.81426
n_iter = 5 J = 242.22 max(relative change in state) = 0.84515
n_iter = 6 J = 241.39 max(relative change in state) = 0.97514
n_iter = 7 J = 240.91 max(relative change in state) = 0.25548
n_iter = 8 J = 240.59 max(relative change in state) = 0.36571
n_iter = 9 J = 240.45 max(relative change in state) = 0.11834
n_iter = 10 J = 240.38 max(relative change in state) = 0.12167
n_iter = 11 J = 240.33 max(relative change in state) = 0.22795E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 265 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 266 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 266 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 207.46 max(relative change in state) = -
n_iter = 2 J = 110.95 max(relative change in state) = 3.3352
n_iter = 3 J = 103.35 max(relative change in state) = 0.79601
n_iter = 4 J = 104.57 max(relative change in state) = 1.2632
n_iter = 5 J = 101.31 max(relative change in state) = 0.82411
n_iter = 6 J = 101.17 max(relative change in state) = 0.18947
n_iter = 7 J = 101.07 max(relative change in state) = 0.17764
n_iter = 8 J = 100.91 max(relative change in state) = 0.10148
n_iter = 9 J = 100.64 max(relative change in state) = 0.33922
n_iter = 10 J = 100.57 max(relative change in state) = 0.30955
n_iter = 11 J = 100.52 max(relative change in state) = 0.60710E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 266 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 267 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 267 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 56.834 max(relative change in state) = -
n_iter = 2 J = 46.701 max(relative change in state) = 0.50405
n_iter = 3 J = 25.715 max(relative change in state) = 1.9963
n_iter = 4 J = 25.474 max(relative change in state) = 0.64828
n_iter = 5 J = 24.624 max(relative change in state) = 0.28083
n_iter = 6 J = 24.435 max(relative change in state) = 0.22256
n_iter = 7 J = 24.359 max(relative change in state) = 0.10965
n_iter = 8 J = 24.175 max(relative change in state) = 0.11002
n_iter = 9 J = 24.038 max(relative change in state) = 0.10229
n_iter = 10 J = 24.004 max(relative change in state) = 0.10741
n_iter = 11 J = 23.976 max(relative change in state) = 0.31781E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 267 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 268 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 268 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.514 max(relative change in state) = -
n_iter = 2 J = 66.593 max(relative change in state) = 0.73754
n_iter = 3 J = 46.191 max(relative change in state) = 1.5710
n_iter = 4 J = 47.969 max(relative change in state) = 1.2787
n_iter = 5 J = 45.697 max(relative change in state) = 0.93418
n_iter = 6 J = 45.624 max(relative change in state) = 0.86770E-01
n_iter = 7 J = 45.481 max(relative change in state) = 0.21093
n_iter = 8 J = 45.407 max(relative change in state) = 0.76837E-01
n_iter = 9 J = 45.447 max(relative change in state) = 0.17605
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 268 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 269 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 269 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 195.90 max(relative change in state) = -
n_iter = 2 J = 158.07 max(relative change in state) = 3.8800
n_iter = 3 J = 139.94 max(relative change in state) = 1.5594
n_iter = 4 J = 138.24 max(relative change in state) = 0.26847
n_iter = 5 J = 140.04 max(relative change in state) = 0.82851
n_iter = 6 J = 137.36 max(relative change in state) = 0.55157
n_iter = 7 J = 137.25 max(relative change in state) = 0.55718E-01
n_iter = 8 J = 136.80 max(relative change in state) = 0.24541
n_iter = 9 J = 136.44 max(relative change in state) = 0.25795
n_iter = 10 J = 136.34 max(relative change in state) = 0.16832
n_iter = 11 J = 136.25 max(relative change in state) = 0.52448E-01
n_iter = 12 J = 136.33 max(relative change in state) = 0.78984
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 269 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 270 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 270 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 82.602 max(relative change in state) = -
n_iter = 2 J = 69.781 max(relative change in state) = 0.81325
n_iter = 3 J = 61.284 max(relative change in state) = 1.0883
n_iter = 4 J = 60.718 max(relative change in state) = 0.52643
n_iter = 5 J = 60.051 max(relative change in state) = 0.23623
n_iter = 6 J = 59.972 max(relative change in state) = 0.15145
n_iter = 7 J = 59.922 max(relative change in state) = 0.13851
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 270 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 271 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 271 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 112.23 max(relative change in state) = -
n_iter = 2 J = 92.652 max(relative change in state) = 0.72590
n_iter = 3 J = 62.505 max(relative change in state) = 2.6666
n_iter = 4 J = 62.163 max(relative change in state) = 0.42614
n_iter = 5 J = 61.342 max(relative change in state) = 0.32300
n_iter = 6 J = 61.275 max(relative change in state) = 0.51184E-01
n_iter = 7 J = 60.957 max(relative change in state) = 0.19106
n_iter = 8 J = 61.021 max(relative change in state) = 0.10977
n_iter = 9 J = 60.877 max(relative change in state) = 0.45131E-01
n_iter = 10 J = 60.860 max(relative change in state) = 0.12894E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 271 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 272 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 272 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 159.31 max(relative change in state) = -
n_iter = 2 J = 101.12 max(relative change in state) = 1.6949
n_iter = 3 J = 59.324 max(relative change in state) = 2.6738
n_iter = 4 J = 58.392 max(relative change in state) = 0.41221
n_iter = 5 J = 57.838 max(relative change in state) = 0.24841
n_iter = 6 J = 57.699 max(relative change in state) = 0.12095
n_iter = 7 J = 57.643 max(relative change in state) = 0.51430E-01
n_iter = 8 J = 57.571 max(relative change in state) = 0.10612
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 272 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 273 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 273 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 20.463 max(relative change in state) = -
n_iter = 2 J = 16.937 max(relative change in state) = 0.41082
n_iter = 3 J = 12.651 max(relative change in state) = 1.0722
n_iter = 4 J = 12.649 max(relative change in state) = 0.15886
n_iter = 5 J = 12.525 max(relative change in state) = 0.91199E-01
n_iter = 6 J = 12.513 max(relative change in state) = 0.37311E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 273 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 274 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 274 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.57 max(relative change in state) = -
n_iter = 2 J = 82.891 max(relative change in state) = 0.47533
n_iter = 3 J = 34.283 max(relative change in state) = 2.3250
n_iter = 4 J = 33.214 max(relative change in state) = 0.23615
n_iter = 5 J = 35.442 max(relative change in state) = 1.0183
n_iter = 6 J = 32.952 max(relative change in state) = 0.81174
n_iter = 7 J = 32.893 max(relative change in state) = 0.38087E-01
n_iter = 8 J = 32.764 max(relative change in state) = 0.15063
n_iter = 9 J = 32.712 max(relative change in state) = 0.16221
n_iter = 10 J = 32.668 max(relative change in state) = 0.55476E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 274 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 275 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 275 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 25.375 max(relative change in state) = -
n_iter = 2 J = 20.916 max(relative change in state) = 0.38573
n_iter = 3 J = 13.878 max(relative change in state) = 1.1930
n_iter = 4 J = 16.219 max(relative change in state) = 1.3277
n_iter = 5 J = 13.749 max(relative change in state) = 1.0866
n_iter = 6 J = 13.722 max(relative change in state) = 0.22000E-01
n_iter = 7 J = 13.612 max(relative change in state) = 0.99683E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 275 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 276 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 276 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 165.94 max(relative change in state) = -
n_iter = 2 J = 113.14 max(relative change in state) = 2.0340
n_iter = 3 J = 99.596 max(relative change in state) = 1.4076
n_iter = 4 J = 108.32 max(relative change in state) = 2.4413
n_iter = 5 J = 98.237 max(relative change in state) = 1.8476
n_iter = 6 J = 97.948 max(relative change in state) = 0.93012E-01
n_iter = 7 J = 96.865 max(relative change in state) = 0.40567
n_iter = 8 J = 96.858 max(relative change in state) = 0.53688
n_iter = 9 J = 96.687 max(relative change in state) = 0.29312
n_iter = 10 J = 96.665 max(relative change in state) = 0.38767E-01
n_iter = 11 J = 96.616 max(relative change in state) = 0.94270E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 276 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 277 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 277 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 277 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 278 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 278 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 166.99 max(relative change in state) = -
n_iter = 2 J = 117.51 max(relative change in state) = 2.5045
n_iter = 3 J = 111.82 max(relative change in state) = 0.85054
n_iter = 4 J = 111.59 max(relative change in state) = 0.40711
n_iter = 5 J = 110.39 max(relative change in state) = 0.22149
n_iter = 6 J = 110.24 max(relative change in state) = 0.46887E-01
n_iter = 7 J = 110.61 max(relative change in state) = 0.31007
n_iter = 8 J = 109.92 max(relative change in state) = 0.16295
n_iter = 9 J = 109.80 max(relative change in state) = 0.57572E-01
n_iter = 10 J = 110.05 max(relative change in state) = 0.19631
n_iter = 11 J = 109.61 max(relative change in state) = 0.15381
n_iter = 12 J = 109.53 max(relative change in state) = 0.42006E-01
n_iter = 13 J = 109.30 max(relative change in state) = 0.22944
n_iter = 14 J = 109.17 max(relative change in state) = 0.27594
n_iter = 15 J = 108.98 max(relative change in state) = 0.69824E-01
n_iter = 16 J = 108.92 max(relative change in state) = 0.53695E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 278 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 279 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 279 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 194.63 max(relative change in state) = -
n_iter = 2 J = 109.64 max(relative change in state) = 3.9681
n_iter = 3 J = 95.029 max(relative change in state) = 1.8997
n_iter = 4 J = 101.67 max(relative change in state) = 2.1449
n_iter = 5 J = 93.864 max(relative change in state) = 1.6050
n_iter = 6 J = 93.630 max(relative change in state) = 0.87791E-01
n_iter = 7 J = 92.862 max(relative change in state) = 0.33512
n_iter = 8 J = 92.796 max(relative change in state) = 0.40704
n_iter = 9 J = 92.692 max(relative change in state) = 0.20760
n_iter = 10 J = 92.665 max(relative change in state) = 0.60521E-01
n_iter = 11 J = 92.636 max(relative change in state) = 0.39996E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 279 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 280 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 280 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 85.648 max(relative change in state) = -
n_iter = 2 J = 70.815 max(relative change in state) = 0.53168
n_iter = 3 J = 49.942 max(relative change in state) = 1.4486
n_iter = 4 J = 50.359 max(relative change in state) = 1.0602
n_iter = 5 J = 48.345 max(relative change in state) = 0.68913
n_iter = 6 J = 48.258 max(relative change in state) = 0.16943
n_iter = 7 J = 48.193 max(relative change in state) = 0.13484
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 280 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 281 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 281 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 35.545 max(relative change in state) = -
n_iter = 2 J = 29.591 max(relative change in state) = 0.54865
n_iter = 3 J = 23.167 max(relative change in state) = 1.1115
n_iter = 4 J = 22.918 max(relative change in state) = 0.46565
n_iter = 5 J = 22.472 max(relative change in state) = 0.20531
n_iter = 6 J = 22.382 max(relative change in state) = 0.16622
n_iter = 7 J = 22.335 max(relative change in state) = 0.99140E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 281 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 282 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 282 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 72.629 max(relative change in state) = -
n_iter = 2 J = 60.482 max(relative change in state) = 0.53174
n_iter = 3 J = 46.364 max(relative change in state) = 1.4780
n_iter = 4 J = 50.563 max(relative change in state) = 1.7968
n_iter = 5 J = 45.270 max(relative change in state) = 1.2908
n_iter = 6 J = 45.066 max(relative change in state) = 0.10181
n_iter = 7 J = 44.431 max(relative change in state) = 0.37037
n_iter = 8 J = 44.161 max(relative change in state) = 0.24985
n_iter = 9 J = 44.131 max(relative change in state) = 0.91189E-01
n_iter = 10 J = 44.059 max(relative change in state) = 0.18932E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 282 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 283 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 283 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 73.249 max(relative change in state) = -
n_iter = 2 J = 63.050 max(relative change in state) = 0.60810
n_iter = 3 J = 58.503 max(relative change in state) = 0.76214
n_iter = 4 J = 58.251 max(relative change in state) = 0.31595
n_iter = 5 J = 58.191 max(relative change in state) = 0.24107
n_iter = 6 J = 57.981 max(relative change in state) = 0.10547
n_iter = 7 J = 57.933 max(relative change in state) = 0.18783E-01
n_iter = 8 J = 57.807 max(relative change in state) = 0.11754
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 283 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 284 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 284 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 95.945 max(relative change in state) = -
n_iter = 2 J = 79.826 max(relative change in state) = 0.70206
n_iter = 3 J = 62.120 max(relative change in state) = 2.2461
n_iter = 4 J = 67.702 max(relative change in state) = 1.8419
n_iter = 5 J = 61.792 max(relative change in state) = 1.5001
n_iter = 6 J = 61.715 max(relative change in state) = 0.20962E-01
n_iter = 7 J = 61.261 max(relative change in state) = 0.26352
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 284 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 285 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 285 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 126.74 max(relative change in state) = -
n_iter = 2 J = 104.55 max(relative change in state) = 0.91454
n_iter = 3 J = 71.845 max(relative change in state) = 2.8468
n_iter = 4 J = 70.743 max(relative change in state) = 0.64607
n_iter = 5 J = 69.369 max(relative change in state) = 0.21405
n_iter = 6 J = 68.771 max(relative change in state) = 0.33260
n_iter = 7 J = 68.664 max(relative change in state) = 0.10869
n_iter = 8 J = 68.606 max(relative change in state) = 0.38749E-01
n_iter = 9 J = 68.549 max(relative change in state) = 0.88057E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 285 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 286 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 286 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 59.693 max(relative change in state) = -
n_iter = 2 J = 49.717 max(relative change in state) = 0.49960
n_iter = 3 J = 36.070 max(relative change in state) = 1.7516
n_iter = 4 J = 36.636 max(relative change in state) = 0.92338
n_iter = 5 J = 35.221 max(relative change in state) = 0.57547
n_iter = 6 J = 35.016 max(relative change in state) = 0.18809
n_iter = 7 J = 34.925 max(relative change in state) = 0.26086
n_iter = 8 J = 34.657 max(relative change in state) = 0.12310
n_iter = 9 J = 34.673 max(relative change in state) = 0.19100
n_iter = 10 J = 34.403 max(relative change in state) = 0.71888E-01
n_iter = 11 J = 34.291 max(relative change in state) = 0.57706E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 286 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 287 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 287 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 72.349 max(relative change in state) = -
n_iter = 2 J = 60.878 max(relative change in state) = 0.68642
n_iter = 3 J = 51.608 max(relative change in state) = 1.5008
n_iter = 4 J = 58.174 max(relative change in state) = 1.8111
n_iter = 5 J = 51.190 max(relative change in state) = 1.4809
n_iter = 6 J = 51.085 max(relative change in state) = 0.24602E-01
n_iter = 7 J = 50.655 max(relative change in state) = 0.23173
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 287 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 288 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 288 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 79.361 max(relative change in state) = -
n_iter = 2 J = 67.054 max(relative change in state) = 0.58858
n_iter = 3 J = 46.158 max(relative change in state) = 2.7464
n_iter = 4 J = 50.822 max(relative change in state) = 1.8293
n_iter = 5 J = 45.327 max(relative change in state) = 1.4155
n_iter = 6 J = 44.993 max(relative change in state) = 0.10064
n_iter = 7 J = 44.736 max(relative change in state) = 0.51102
n_iter = 8 J = 44.220 max(relative change in state) = 0.40235
n_iter = 9 J = 43.854 max(relative change in state) = 0.25437
n_iter = 10 J = 43.781 max(relative change in state) = 0.12732
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 288 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 289 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 289 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 198.26 max(relative change in state) = -
n_iter = 2 J = 104.38 max(relative change in state) = 3.3832
n_iter = 3 J = 88.270 max(relative change in state) = 1.4395
n_iter = 4 J = 87.198 max(relative change in state) = 0.39498
n_iter = 5 J = 86.488 max(relative change in state) = 0.31835
n_iter = 6 J = 86.376 max(relative change in state) = 0.31263E-01
n_iter = 7 J = 86.296 max(relative change in state) = 0.45732E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 289 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 290 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 290 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 290 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 291 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 291 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 181.28 max(relative change in state) = -
n_iter = 2 J = 102.34 max(relative change in state) = 2.9146
n_iter = 3 J = 80.196 max(relative change in state) = 1.5975
n_iter = 4 J = 79.820 max(relative change in state) = 0.97513
n_iter = 5 J = 77.977 max(relative change in state) = 0.98077
n_iter = 6 J = 77.203 max(relative change in state) = 0.14707
n_iter = 7 J = 76.984 max(relative change in state) = 0.45899E-01
n_iter = 8 J = 76.426 max(relative change in state) = 0.19958
n_iter = 9 J = 76.464 max(relative change in state) = 0.45929
n_iter = 10 J = 76.122 max(relative change in state) = 0.18969
n_iter = 11 J = 76.104 max(relative change in state) = 0.14045E-01
n_iter = 12 J = 75.980 max(relative change in state) = 0.18163
n_iter = 13 J = 75.974 max(relative change in state) = 0.73049E-01
n_iter = 14 J = 75.933 max(relative change in state) = 0.19226E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 291 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 292 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 292 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.56 max(relative change in state) = -
n_iter = 2 J = 90.394 max(relative change in state) = 0.77156
n_iter = 3 J = 69.779 max(relative change in state) = 1.4697
n_iter = 4 J = 70.546 max(relative change in state) = 0.81001
n_iter = 5 J = 68.609 max(relative change in state) = 0.50595
n_iter = 6 J = 68.493 max(relative change in state) = 0.12287
n_iter = 7 J = 68.418 max(relative change in state) = 0.12300
n_iter = 8 J = 68.327 max(relative change in state) = 0.83066E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 292 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 293 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 293 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 153.15 max(relative change in state) = -
n_iter = 2 J = 105.39 max(relative change in state) = 1.2713
n_iter = 3 J = 64.509 max(relative change in state) = 2.2156
n_iter = 4 J = 62.492 max(relative change in state) = 0.50385
n_iter = 5 J = 67.440 max(relative change in state) = 1.2834
n_iter = 6 J = 61.900 max(relative change in state) = 1.0004
n_iter = 7 J = 61.764 max(relative change in state) = 0.35787E-01
n_iter = 8 J = 61.560 max(relative change in state) = 0.30350
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 293 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 294 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 294 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 187.74 max(relative change in state) = -
n_iter = 2 J = 107.29 max(relative change in state) = 2.6760
n_iter = 3 J = 92.819 max(relative change in state) = 1.4568
n_iter = 4 J = 103.73 max(relative change in state) = 2.5258
n_iter = 5 J = 91.482 max(relative change in state) = 1.9653
n_iter = 6 J = 91.152 max(relative change in state) = 0.74452E-01
n_iter = 7 J = 89.860 max(relative change in state) = 0.47504
n_iter = 8 J = 89.947 max(relative change in state) = 0.54763
n_iter = 9 J = 89.670 max(relative change in state) = 0.28718
n_iter = 10 J = 89.638 max(relative change in state) = 0.10264
n_iter = 11 J = 89.603 max(relative change in state) = 0.70742E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 294 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 295 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 295 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 272.11 max(relative change in state) = -
n_iter = 2 J = 270.66 max(relative change in state) = 7.0646
n_iter = 3 J = 186.72 max(relative change in state) = 3.9740
n_iter = 4 J = 185.03 max(relative change in state) = 0.36083
n_iter = 5 J = 183.30 max(relative change in state) = 0.23235
n_iter = 6 J = 182.81 max(relative change in state) = 0.20317
n_iter = 7 J = 182.51 max(relative change in state) = 0.61030E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 295 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 296 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 296 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 57.637 max(relative change in state) = -
n_iter = 2 J = 47.719 max(relative change in state) = 0.42607
n_iter = 3 J = 33.505 max(relative change in state) = 1.3262
n_iter = 4 J = 33.270 max(relative change in state) = 0.46055
n_iter = 5 J = 32.890 max(relative change in state) = 0.27583
n_iter = 6 J = 32.799 max(relative change in state) = 0.21335E-01
n_iter = 7 J = 32.731 max(relative change in state) = 0.59173E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 296 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 297 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 297 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 63.601 max(relative change in state) = -
n_iter = 2 J = 52.409 max(relative change in state) = 0.50560
n_iter = 3 J = 35.700 max(relative change in state) = 1.8131
n_iter = 4 J = 36.896 max(relative change in state) = 0.52488
n_iter = 5 J = 35.341 max(relative change in state) = 0.40451
n_iter = 6 J = 35.296 max(relative change in state) = 0.33484E-01
n_iter = 7 J = 35.193 max(relative change in state) = 0.99876E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 297 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 298 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 298 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 268.31 max(relative change in state) = -
n_iter = 2 J = 184.51 max(relative change in state) = 7.7011
n_iter = 3 J = 144.81 max(relative change in state) = 2.4160
n_iter = 4 J = 143.08 max(relative change in state) = 0.50487
n_iter = 5 J = 141.61 max(relative change in state) = 0.32681
n_iter = 6 J = 141.24 max(relative change in state) = 0.33946
n_iter = 7 J = 140.94 max(relative change in state) = 0.10926
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 298 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 299 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 299 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 106.05 max(relative change in state) = -
n_iter = 2 J = 87.100 max(relative change in state) = 0.59915
n_iter = 3 J = 48.295 max(relative change in state) = 2.0414
n_iter = 4 J = 49.261 max(relative change in state) = 1.0282
n_iter = 5 J = 47.051 max(relative change in state) = 0.63229
n_iter = 6 J = 46.899 max(relative change in state) = 0.14489
n_iter = 7 J = 46.753 max(relative change in state) = 0.19819
n_iter = 8 J = 46.574 max(relative change in state) = 0.99805E-01
n_iter = 9 J = 46.482 max(relative change in state) = 0.51625
n_iter = 10 J = 46.232 max(relative change in state) = 0.28446
n_iter = 11 J = 46.191 max(relative change in state) = 0.49878E-01
n_iter = 12 J = 46.163 max(relative change in state) = 0.53965E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 299 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 300 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 300 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 323.57 max(relative change in state) = -
n_iter = 2 J = 947.85 max(relative change in state) = 11.093
n_iter = 3 J = 279.70 max(relative change in state) = 9.4291
n_iter = 4 J = 282.92 max(relative change in state) = 1.4450
n_iter = 5 J = 279.00 max(relative change in state) = 1.0515
n_iter = 6 J = 278.82 max(relative change in state) = 0.60013E-01
n_iter = 7 J = 278.08 max(relative change in state) = 0.31832
n_iter = 8 J = 277.93 max(relative change in state) = 0.30718
n_iter = 9 J = 277.76 max(relative change in state) = 0.63098E-01
n_iter = 10 J = 277.71 max(relative change in state) = 0.46791E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 300 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 301 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 301 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 157.07 max(relative change in state) = -
n_iter = 2 J = 105.90 max(relative change in state) = 1.5558
n_iter = 3 J = 74.175 max(relative change in state) = 2.1561
n_iter = 4 J = 72.796 max(relative change in state) = 0.57617
n_iter = 5 J = 72.753 max(relative change in state) = 0.51028
n_iter = 6 J = 72.004 max(relative change in state) = 0.21503
n_iter = 7 J = 71.898 max(relative change in state) = 0.32585E-01
n_iter = 8 J = 71.776 max(relative change in state) = 0.24068
n_iter = 9 J = 71.680 max(relative change in state) = 0.17388
n_iter = 10 J = 71.572 max(relative change in state) = 0.34641E-01
n_iter = 11 J = 71.464 max(relative change in state) = 0.11429
n_iter = 12 J = 71.392 max(relative change in state) = 0.75319E-01
n_iter = 13 J = 71.345 max(relative change in state) = 0.22262
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 301 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 302 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 302 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 199.70 max(relative change in state) = -
n_iter = 2 J = 157.41 max(relative change in state) = 3.4299
n_iter = 3 J = 142.26 max(relative change in state) = 1.0613
n_iter = 4 J = 140.95 max(relative change in state) = 0.23691
n_iter = 5 J = 140.00 max(relative change in state) = 0.25284
n_iter = 6 J = 139.53 max(relative change in state) = 0.57730E-01
n_iter = 7 J = 138.94 max(relative change in state) = 0.18414
n_iter = 8 J = 139.44 max(relative change in state) = 0.26143
n_iter = 9 J = 138.73 max(relative change in state) = 0.13169
n_iter = 10 J = 138.60 max(relative change in state) = 0.33907E-01
n_iter = 11 J = 138.96 max(relative change in state) = 0.27382
n_iter = 12 J = 138.48 max(relative change in state) = 0.31112
n_iter = 13 J = 138.40 max(relative change in state) = 0.46617E-01
n_iter = 14 J = 138.34 max(relative change in state) = 0.55786E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 302 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 303 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 303 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.842 max(relative change in state) = -
n_iter = 2 J = 59.545 max(relative change in state) = 0.57136
n_iter = 3 J = 44.481 max(relative change in state) = 1.6633
n_iter = 4 J = 50.694 max(relative change in state) = 1.5042
n_iter = 5 J = 44.009 max(relative change in state) = 1.2472
n_iter = 6 J = 43.928 max(relative change in state) = 0.40732E-01
n_iter = 7 J = 43.749 max(relative change in state) = 0.14231
n_iter = 8 J = 43.686 max(relative change in state) = 0.84954E-01
n_iter = 9 J = 43.638 max(relative change in state) = 0.40898E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 303 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 304 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 304 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 114.82 max(relative change in state) = -
n_iter = 2 J = 96.734 max(relative change in state) = 0.68430
n_iter = 3 J = 63.210 max(relative change in state) = 2.3465
n_iter = 4 J = 59.712 max(relative change in state) = 0.96633
n_iter = 5 J = 64.954 max(relative change in state) = 1.4203
n_iter = 6 J = 59.124 max(relative change in state) = 1.0525
n_iter = 7 J = 59.046 max(relative change in state) = 0.17343E-01
n_iter = 8 J = 58.666 max(relative change in state) = 0.22864
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 304 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 305 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 305 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 44.274 max(relative change in state) = -
n_iter = 2 J = 36.334 max(relative change in state) = 0.49575
n_iter = 3 J = 21.034 max(relative change in state) = 1.9058
n_iter = 4 J = 20.779 max(relative change in state) = 0.40071
n_iter = 5 J = 20.441 max(relative change in state) = 0.15630
n_iter = 6 J = 20.351 max(relative change in state) = 0.16628
n_iter = 7 J = 20.319 max(relative change in state) = 0.83002E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 305 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 306 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 306 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 170.53 max(relative change in state) = -
n_iter = 2 J = 122.45 max(relative change in state) = 2.2617
n_iter = 3 J = 113.43 max(relative change in state) = 1.3272
n_iter = 4 J = 112.44 max(relative change in state) = 0.44672
n_iter = 5 J = 112.87 max(relative change in state) = 0.26529
n_iter = 6 J = 111.72 max(relative change in state) = 0.18196
n_iter = 7 J = 111.28 max(relative change in state) = 0.95534E-01
n_iter = 8 J = 111.35 max(relative change in state) = 0.16034
n_iter = 9 J = 110.54 max(relative change in state) = 0.13652
n_iter = 10 J = 109.53 max(relative change in state) = 0.31804
n_iter = 11 J = 109.19 max(relative change in state) = 0.14902
n_iter = 12 J = 108.83 max(relative change in state) = 0.10862
n_iter = 13 J = 107.88 max(relative change in state) = 0.51451
n_iter = 14 J = 108.18 max(relative change in state) = 0.45133
n_iter = 15 J = 107.55 max(relative change in state) = 0.13040
n_iter = 16 J = 107.45 max(relative change in state) = 0.43805E-01
n_iter = 17 J = 107.11 max(relative change in state) = 0.46435
n_iter = 18 J = 107.44 max(relative change in state) = 0.53885
n_iter = 19 J = 106.96 max(relative change in state) = 0.33141
n_iter = 20 J = 106.92 max(relative change in state) = 0.19541E-01
n_iter = 21 J = 106.81 max(relative change in state) = 0.14888
n_iter = 22 J = 106.83 max(relative change in state) = 0.17575
n_iter = 23 J = 106.76 max(relative change in state) = 0.90709E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 23.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 306 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 307 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 307 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 156.89 max(relative change in state) = -
n_iter = 2 J = 110.08 max(relative change in state) = 1.5938
n_iter = 3 J = 91.241 max(relative change in state) = 1.5423
n_iter = 4 J = 86.716 max(relative change in state) = 0.64977
n_iter = 5 J = 96.465 max(relative change in state) = 0.43465
n_iter = 6 J = 86.440 max(relative change in state) = 0.39486
n_iter = 7 J = 86.365 max(relative change in state) = 0.16758E-01
n_iter = 8 J = 86.063 max(relative change in state) = 0.24603
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 307 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 308 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 308 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 31.931 max(relative change in state) = -
n_iter = 2 J = 26.778 max(relative change in state) = 0.28936
n_iter = 3 J = 19.445 max(relative change in state) = 0.92729
n_iter = 4 J = 19.221 max(relative change in state) = 0.36870
n_iter = 5 J = 18.661 max(relative change in state) = 0.23829
n_iter = 6 J = 18.495 max(relative change in state) = 0.11183
n_iter = 7 J = 18.464 max(relative change in state) = 0.16086
n_iter = 8 J = 18.371 max(relative change in state) = 0.18696
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 308 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 309 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 309 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 104.28 max(relative change in state) = -
n_iter = 2 J = 87.222 max(relative change in state) = 0.80805
n_iter = 3 J = 71.245 max(relative change in state) = 1.3891
n_iter = 4 J = 70.741 max(relative change in state) = 0.71062
n_iter = 5 J = 70.121 max(relative change in state) = 0.39448
n_iter = 6 J = 70.025 max(relative change in state) = 0.18141
n_iter = 7 J = 69.970 max(relative change in state) = 0.88835E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 309 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 310 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 310 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.15 max(relative change in state) = -
n_iter = 2 J = 89.878 max(relative change in state) = 0.75087
n_iter = 3 J = 66.106 max(relative change in state) = 2.3257
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 310 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 311 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 311 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 8 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 334.78 max(relative change in state) = -
n_iter = 2 J = 226.69 max(relative change in state) = 6.7993
n_iter = 3 J = 172.97 max(relative change in state) = 2.4840
n_iter = 4 J = 168.44 max(relative change in state) = 0.47735
n_iter = 5 J = 170.33 max(relative change in state) = 0.63629
n_iter = 6 J = 165.98 max(relative change in state) = 0.33859
n_iter = 7 J = 165.72 max(relative change in state) = 0.55770E-01
n_iter = 8 J = 165.31 max(relative change in state) = 0.18912
n_iter = 9 J = 165.15 max(relative change in state) = 0.16667
n_iter = 10 J = 165.00 max(relative change in state) = 0.25493E-01
n_iter = 11 J = 164.80 max(relative change in state) = 0.60903E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 311 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 312 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 312 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.894 max(relative change in state) = -
n_iter = 2 J = 57.403 max(relative change in state) = 0.47883
n_iter = 3 J = 33.231 max(relative change in state) = 1.5286
n_iter = 4 J = 31.704 max(relative change in state) = 0.31966
n_iter = 5 J = 32.765 max(relative change in state) = 0.70702
n_iter = 6 J = 31.204 max(relative change in state) = 0.40485
n_iter = 7 J = 31.161 max(relative change in state) = 0.19845E-01
n_iter = 8 J = 30.980 max(relative change in state) = 0.18689
n_iter = 9 J = 31.075 max(relative change in state) = 0.33902
n_iter = 10 J = 30.922 max(relative change in state) = 0.20883
n_iter = 11 J = 30.910 max(relative change in state) = 0.25198E-01
n_iter = 12 J = 30.902 max(relative change in state) = 0.10024
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 312 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 313 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 313 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 22.870 max(relative change in state) = -
n_iter = 2 J = 19.125 max(relative change in state) = 0.36032
n_iter = 3 J = 15.526 max(relative change in state) = 0.80740
n_iter = 4 J = 15.158 max(relative change in state) = 0.26302
n_iter = 5 J = 15.181 max(relative change in state) = 0.26385
n_iter = 6 J = 15.014 max(relative change in state) = 0.97822E-01
n_iter = 7 J = 15.008 max(relative change in state) = 0.10225E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 313 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 314 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 314 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 132.87 max(relative change in state) = -
n_iter = 2 J = 109.12 max(relative change in state) = 0.69209
n_iter = 3 J = 74.663 max(relative change in state) = 1.9715
n_iter = 4 J = 76.012 max(relative change in state) = 1.3950
n_iter = 5 J = 70.880 max(relative change in state) = 0.85290
n_iter = 6 J = 70.161 max(relative change in state) = 0.32675
n_iter = 7 J = 69.123 max(relative change in state) = 0.36607
n_iter = 8 J = 68.990 max(relative change in state) = 0.34570
n_iter = 9 J = 67.948 max(relative change in state) = 0.51467
n_iter = 10 J = 67.216 max(relative change in state) = 0.54223
n_iter = 11 J = 66.553 max(relative change in state) = 0.22130
n_iter = 12 J = 66.831 max(relative change in state) = 0.83323
n_iter = 13 J = 65.589 max(relative change in state) = 0.22591
n_iter = 14 J = 65.572 max(relative change in state) = 0.29902E-01
n_iter = 15 J = 65.561 max(relative change in state) = 0.28984E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 314 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 315 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 315 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 170.87 max(relative change in state) = -
n_iter = 2 J = 107.28 max(relative change in state) = 2.1715
n_iter = 3 J = 87.913 max(relative change in state) = 2.1328
n_iter = 4 J = 89.896 max(relative change in state) = 1.0373
n_iter = 5 J = 86.619 max(relative change in state) = 0.70819
n_iter = 6 J = 86.469 max(relative change in state) = 0.11170
n_iter = 7 J = 86.294 max(relative change in state) = 0.21210
n_iter = 8 J = 86.158 max(relative change in state) = 0.69710E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 315 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 316 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 316 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 213.29 max(relative change in state) = -
n_iter = 2 J = 138.50 max(relative change in state) = 3.8430
n_iter = 3 J = 125.48 max(relative change in state) = 1.1733
n_iter = 4 J = 122.36 max(relative change in state) = 0.42062
n_iter = 5 J = 123.73 max(relative change in state) = 1.2829
n_iter = 6 J = 121.25 max(relative change in state) = 0.87189
n_iter = 7 J = 121.15 max(relative change in state) = 0.15530
n_iter = 8 J = 121.07 max(relative change in state) = 0.17504
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 316 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 317 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 317 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 197.76 max(relative change in state) = -
n_iter = 2 J = 136.12 max(relative change in state) = 4.3813
n_iter = 3 J = 122.34 max(relative change in state) = 0.92177
n_iter = 4 J = 116.58 max(relative change in state) = 0.63082
n_iter = 5 J = 117.99 max(relative change in state) = 1.5232
n_iter = 6 J = 115.18 max(relative change in state) = 1.0506
n_iter = 7 J = 115.06 max(relative change in state) = 0.19724
n_iter = 8 J = 115.00 max(relative change in state) = 0.15617
n_iter = 9 J = 114.94 max(relative change in state) = 0.59789E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 317 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 318 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 318 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 200.28 max(relative change in state) = -
n_iter = 2 J = 109.05 max(relative change in state) = 3.1901
n_iter = 3 J = 98.654 max(relative change in state) = 1.9574
n_iter = 4 J = 97.639 max(relative change in state) = 0.71733
n_iter = 5 J = 97.271 max(relative change in state) = 0.17184
n_iter = 6 J = 96.885 max(relative change in state) = 0.12650
n_iter = 7 J = 96.824 max(relative change in state) = 0.40757E-01
n_iter = 8 J = 96.608 max(relative change in state) = 0.19375
n_iter = 9 J = 96.551 max(relative change in state) = 0.21259
n_iter = 10 J = 96.490 max(relative change in state) = 0.46807E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 318 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 319 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 319 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 40.489 max(relative change in state) = -
n_iter = 2 J = 33.894 max(relative change in state) = 0.52570
n_iter = 3 J = 27.693 max(relative change in state) = 0.80483
n_iter = 4 J = 27.136 max(relative change in state) = 0.24623
n_iter = 5 J = 27.688 max(relative change in state) = 0.73976
n_iter = 6 J = 26.990 max(relative change in state) = 0.48149
n_iter = 7 J = 26.976 max(relative change in state) = 0.22827E-01
n_iter = 8 J = 26.904 max(relative change in state) = 0.11514
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 319 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 320 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 320 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 113.55 max(relative change in state) = -
n_iter = 2 J = 93.186 max(relative change in state) = 0.52991
n_iter = 3 J = 53.055 max(relative change in state) = 2.0143
n_iter = 4 J = 52.638 max(relative change in state) = 0.66444
n_iter = 5 J = 51.478 max(relative change in state) = 0.31948
n_iter = 6 J = 51.277 max(relative change in state) = 0.22761
n_iter = 7 J = 51.177 max(relative change in state) = 0.11689
n_iter = 8 J = 50.969 max(relative change in state) = 0.13388
n_iter = 9 J = 50.827 max(relative change in state) = 0.11033
n_iter = 10 J = 50.792 max(relative change in state) = 0.81793E-01
n_iter = 11 J = 50.776 max(relative change in state) = 0.53232E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 320 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 321 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 321 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 62.758 max(relative change in state) = -
n_iter = 2 J = 52.782 max(relative change in state) = 0.60971
n_iter = 3 J = 44.023 max(relative change in state) = 1.4165
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 321 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 322 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 322 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 131.20 max(relative change in state) = -
n_iter = 2 J = 110.26 max(relative change in state) = 1.0014
n_iter = 3 J = 95.086 max(relative change in state) = 1.4263
n_iter = 4 J = 94.684 max(relative change in state) = 0.58380
n_iter = 5 J = 93.902 max(relative change in state) = 0.29669
n_iter = 6 J = 93.807 max(relative change in state) = 0.17036
n_iter = 7 J = 93.746 max(relative change in state) = 0.12057
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 322 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 323 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 323 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 46.531 max(relative change in state) = -
n_iter = 2 J = 38.536 max(relative change in state) = 0.46540
n_iter = 3 J = 27.759 max(relative change in state) = 1.0490
n_iter = 4 J = 27.466 max(relative change in state) = 0.21075
n_iter = 5 J = 27.274 max(relative change in state) = 0.14456
n_iter = 6 J = 27.221 max(relative change in state) = 0.23404E-01
n_iter = 7 J = 27.191 max(relative change in state) = 0.24234E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 323 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 324 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 324 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 48.158 max(relative change in state) = -
n_iter = 2 J = 40.385 max(relative change in state) = 0.56197
n_iter = 3 J = 32.458 max(relative change in state) = 1.1262
n_iter = 4 J = 32.137 max(relative change in state) = 0.18409
n_iter = 5 J = 31.750 max(relative change in state) = 0.12241
n_iter = 6 J = 31.722 max(relative change in state) = 0.18610E-01
n_iter = 7 J = 31.688 max(relative change in state) = 0.31967E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 324 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 325 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 325 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 325 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 326 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 326 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 131.20 max(relative change in state) = -
n_iter = 2 J = 108.52 max(relative change in state) = 0.90002
n_iter = 3 J = 78.978 max(relative change in state) = 2.5639
n_iter = 4 J = 77.724 max(relative change in state) = 0.26305
n_iter = 5 J = 79.796 max(relative change in state) = 1.3426
n_iter = 6 J = 77.236 max(relative change in state) = 1.0730
n_iter = 7 J = 77.181 max(relative change in state) = 0.11651
n_iter = 8 J = 77.146 max(relative change in state) = 0.15471
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 326 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 327 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 327 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 451.09 max(relative change in state) = -
n_iter = 2 J = 2163.1 max(relative change in state) = 26.186
n_iter = 3 J = 401.36 max(relative change in state) = 22.578
n_iter = 4 J = 403.23 max(relative change in state) = 1.0380
n_iter = 5 J = 400.75 max(relative change in state) = 0.72463
n_iter = 6 J = 400.62 max(relative change in state) = 0.61757E-01
n_iter = 7 J = 400.19 max(relative change in state) = 0.26504
n_iter = 8 J = 399.94 max(relative change in state) = 0.12061
n_iter = 9 J = 399.85 max(relative change in state) = 0.21177
n_iter = 10 J = 399.78 max(relative change in state) = 0.25123E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 327 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 328 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 328 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 100.74 max(relative change in state) = -
n_iter = 2 J = 83.685 max(relative change in state) = 0.63552
n_iter = 3 J = 60.985 max(relative change in state) = 1.6635
n_iter = 4 J = 62.063 max(relative change in state) = 0.94964
n_iter = 5 J = 60.015 max(relative change in state) = 0.62179
n_iter = 6 J = 59.907 max(relative change in state) = 0.11983
n_iter = 7 J = 59.789 max(relative change in state) = 0.19073
n_iter = 8 J = 59.667 max(relative change in state) = 0.82649E-01
n_iter = 9 J = 59.585 max(relative change in state) = 0.44777
n_iter = 10 J = 59.403 max(relative change in state) = 0.25822
n_iter = 11 J = 59.372 max(relative change in state) = 0.20577E-01
n_iter = 12 J = 59.362 max(relative change in state) = 0.20378E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 328 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 329 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 329 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 6 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 745.79 max(relative change in state) = -
n_iter = 2 J = 894.99 max(relative change in state) = 16.189
n_iter = 3 J = 433.29 max(relative change in state) = 8.4423
n_iter = 4 J = 440.63 max(relative change in state) = 3.1279
n_iter = 5 J = 427.35 max(relative change in state) = 2.0204
n_iter = 6 J = 426.55 max(relative change in state) = 0.35431
n_iter = 7 J = 425.22 max(relative change in state) = 0.64766
n_iter = 8 J = 423.58 max(relative change in state) = 0.29047
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 329 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 330 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 330 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 330 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 331 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 331 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 59.380 max(relative change in state) = -
n_iter = 2 J = 49.079 max(relative change in state) = 0.52283
n_iter = 3 J = 33.621 max(relative change in state) = 1.5289
n_iter = 4 J = 32.753 max(relative change in state) = 0.22420
n_iter = 5 J = 35.101 max(relative change in state) = 0.42001
n_iter = 6 J = 32.626 max(relative change in state) = 0.29959
n_iter = 7 J = 32.601 max(relative change in state) = 0.91195E-02
n_iter = 8 J = 32.565 max(relative change in state) = 0.12723
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 331 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 332 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 332 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 332 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 333 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 333 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 78.358 max(relative change in state) = -
n_iter = 2 J = 67.762 max(relative change in state) = 0.89079
n_iter = 3 J = 63.512 max(relative change in state) = 0.49748
n_iter = 4 J = 64.805 max(relative change in state) = 1.0758
n_iter = 5 J = 62.835 max(relative change in state) = 0.62937
n_iter = 6 J = 62.634 max(relative change in state) = 0.20675
n_iter = 7 J = 62.542 max(relative change in state) = 0.17719
n_iter = 8 J = 62.469 max(relative change in state) = 0.75998E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 333 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 334 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 334 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 182.22 max(relative change in state) = -
n_iter = 2 J = 129.78 max(relative change in state) = 3.3666
n_iter = 3 J = 124.81 max(relative change in state) = 1.0008
n_iter = 4 J = 123.79 max(relative change in state) = 0.60540
n_iter = 5 J = 123.29 max(relative change in state) = 0.32522
n_iter = 6 J = 123.10 max(relative change in state) = 0.17531
n_iter = 7 J = 123.02 max(relative change in state) = 0.41928E-01
n_iter = 8 J = 122.81 max(relative change in state) = 0.22891
n_iter = 9 J = 122.89 max(relative change in state) = 0.47872
n_iter = 10 J = 122.71 max(relative change in state) = 0.26548
n_iter = 11 J = 122.69 max(relative change in state) = 0.42164E-01
n_iter = 12 J = 122.61 max(relative change in state) = 0.96708E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 334 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 335 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 335 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 146.80 max(relative change in state) = -
n_iter = 2 J = 119.20 max(relative change in state) = 1.8486
n_iter = 3 J = 113.20 max(relative change in state) = 0.89964
n_iter = 4 J = 113.09 max(relative change in state) = 0.89609
n_iter = 5 J = 111.21 max(relative change in state) = 0.58135
n_iter = 6 J = 110.94 max(relative change in state) = 0.22210
n_iter = 7 J = 110.92 max(relative change in state) = 0.33335
n_iter = 8 J = 110.62 max(relative change in state) = 0.24222
n_iter = 9 J = 110.62 max(relative change in state) = 0.34814
n_iter = 10 J = 110.54 max(relative change in state) = 0.23078
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 335 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 336 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 336 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 183.57 max(relative change in state) = -
n_iter = 2 J = 113.55 max(relative change in state) = 2.8100
n_iter = 3 J = 99.190 max(relative change in state) = 1.3465
n_iter = 4 J = 98.992 max(relative change in state) = 0.68886
n_iter = 5 J = 97.273 max(relative change in state) = 0.50324
n_iter = 6 J = 97.126 max(relative change in state) = 0.98902E-01
n_iter = 7 J = 97.035 max(relative change in state) = 0.27684
n_iter = 8 J = 96.759 max(relative change in state) = 0.19715
n_iter = 9 J = 96.533 max(relative change in state) = 0.25486
n_iter = 10 J = 96.279 max(relative change in state) = 0.23584
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 336 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 337 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 337 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 132.12 max(relative change in state) = -
n_iter = 2 J = 108.21 max(relative change in state) = 0.67947
n_iter = 3 J = 53.461 max(relative change in state) = 2.8391
n_iter = 4 J = 53.198 max(relative change in state) = 0.75786
n_iter = 5 J = 51.930 max(relative change in state) = 0.44011
n_iter = 6 J = 51.835 max(relative change in state) = 0.16515
n_iter = 7 J = 51.752 max(relative change in state) = 0.14653
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 337 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 338 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 338 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 28.602 max(relative change in state) = -
n_iter = 2 J = 23.652 max(relative change in state) = 0.30794
n_iter = 3 J = 16.758 max(relative change in state) = 0.76417
n_iter = 4 J = 17.258 max(relative change in state) = 0.70080
n_iter = 5 J = 16.394 max(relative change in state) = 0.44406
n_iter = 6 J = 16.330 max(relative change in state) = 0.76680E-01
n_iter = 7 J = 16.228 max(relative change in state) = 0.17617
n_iter = 8 J = 16.141 max(relative change in state) = 0.52369E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 338 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 339 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 339 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 239.51 max(relative change in state) = -
n_iter = 2 J = 176.02 max(relative change in state) = 5.9569
n_iter = 3 J = 149.54 max(relative change in state) = 1.7989
n_iter = 4 J = 147.28 max(relative change in state) = 0.69975
n_iter = 5 J = 144.96 max(relative change in state) = 0.25913
n_iter = 6 J = 144.21 max(relative change in state) = 0.30987
n_iter = 7 J = 143.50 max(relative change in state) = 0.16642
n_iter = 8 J = 143.21 max(relative change in state) = 0.29922
n_iter = 9 J = 142.95 max(relative change in state) = 0.71265E-01
n_iter = 10 J = 142.91 max(relative change in state) = 0.73459E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 339 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 340 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 340 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 172.62 max(relative change in state) = -
n_iter = 2 J = 113.76 max(relative change in state) = 2.8146
n_iter = 3 J = 104.55 max(relative change in state) = 1.4085
n_iter = 4 J = 103.53 max(relative change in state) = 0.82196
n_iter = 5 J = 102.66 max(relative change in state) = 0.73250
n_iter = 6 J = 102.38 max(relative change in state) = 0.54953E-01
n_iter = 7 J = 102.29 max(relative change in state) = 0.34536E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 340 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 341 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 341 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 128.55 max(relative change in state) = -
n_iter = 2 J = 106.60 max(relative change in state) = 0.91398
n_iter = 3 J = 75.026 max(relative change in state) = 2.3148
n_iter = 4 J = 74.079 max(relative change in state) = 0.33135
n_iter = 5 J = 74.025 max(relative change in state) = 0.30593
n_iter = 6 J = 73.588 max(relative change in state) = 0.14959
n_iter = 7 J = 73.524 max(relative change in state) = 0.20948E-01
n_iter = 8 J = 73.500 max(relative change in state) = 0.21328
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 341 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 342 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 342 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 158.09 max(relative change in state) = -
n_iter = 2 J = 106.17 max(relative change in state) = 1.5860
n_iter = 3 J = 84.287 max(relative change in state) = 2.1205
n_iter = 4 J = 73.725 max(relative change in state) = 2.0833
n_iter = 5 J = 81.359 max(relative change in state) = 1.8061
n_iter = 6 J = 73.377 max(relative change in state) = 1.5153
n_iter = 7 J = 73.286 max(relative change in state) = 0.33389E-01
n_iter = 8 J = 72.908 max(relative change in state) = 0.23080
n_iter = 9 J = 72.893 max(relative change in state) = 0.23329
n_iter = 10 J = 72.757 max(relative change in state) = 0.71629E-01
n_iter = 11 J = 72.739 max(relative change in state) = 0.28701E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 342 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 343 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 343 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.343 max(relative change in state) = -
n_iter = 2 J = 59.457 max(relative change in state) = 0.67077
n_iter = 3 J = 46.239 max(relative change in state) = 1.3095
n_iter = 4 J = 44.981 max(relative change in state) = 0.28212
n_iter = 5 J = 47.994 max(relative change in state) = 0.72050
n_iter = 6 J = 44.836 max(relative change in state) = 0.60657
n_iter = 7 J = 44.791 max(relative change in state) = 0.16989E-01
n_iter = 8 J = 44.635 max(relative change in state) = 0.20611
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 343 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 344 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 344 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 74.386 max(relative change in state) = -
n_iter = 2 J = 61.890 max(relative change in state) = 0.52859
n_iter = 3 J = 46.029 max(relative change in state) = 1.8694
n_iter = 4 J = 45.452 max(relative change in state) = 0.42230
n_iter = 5 J = 45.258 max(relative change in state) = 0.35929
n_iter = 6 J = 45.053 max(relative change in state) = 0.10043
n_iter = 7 J = 45.006 max(relative change in state) = 0.26394E-01
n_iter = 8 J = 44.961 max(relative change in state) = 0.16884
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 344 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 345 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 345 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 128.76 max(relative change in state) = -
n_iter = 2 J = 104.89 max(relative change in state) = 0.55995
n_iter = 3 J = 36.048 max(relative change in state) = 3.2198
n_iter = 4 J = 34.726 max(relative change in state) = 0.37991
n_iter = 5 J = 33.675 max(relative change in state) = 0.25931
n_iter = 6 J = 33.497 max(relative change in state) = 0.25317
n_iter = 7 J = 33.410 max(relative change in state) = 0.30576E-01
n_iter = 8 J = 33.359 max(relative change in state) = 0.32290
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 345 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 346 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 346 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 183.11 max(relative change in state) = -
n_iter = 2 J = 100.99 max(relative change in state) = 2.5911
n_iter = 3 J = 77.625 max(relative change in state) = 1.8313
n_iter = 4 J = 78.053 max(relative change in state) = 1.0696
n_iter = 5 J = 75.587 max(relative change in state) = 0.62471
n_iter = 6 J = 75.397 max(relative change in state) = 0.21453
n_iter = 7 J = 75.264 max(relative change in state) = 0.16220
n_iter = 8 J = 74.950 max(relative change in state) = 0.18146
n_iter = 9 J = 74.545 max(relative change in state) = 0.32208
n_iter = 10 J = 74.469 max(relative change in state) = 0.15967
n_iter = 11 J = 74.362 max(relative change in state) = 0.22635E-01
n_iter = 12 J = 74.310 max(relative change in state) = 0.38185E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 346 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 347 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 347 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 67.779 max(relative change in state) = -
n_iter = 2 J = 55.731 max(relative change in state) = 0.50007
n_iter = 3 J = 32.513 max(relative change in state) = 1.6462
n_iter = 4 J = 31.468 max(relative change in state) = 0.46160
n_iter = 5 J = 31.125 max(relative change in state) = 0.36648
n_iter = 6 J = 30.892 max(relative change in state) = 0.62853E-01
n_iter = 7 J = 30.852 max(relative change in state) = 0.20826E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 347 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 348 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 348 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 58.091 max(relative change in state) = -
n_iter = 2 J = 47.849 max(relative change in state) = 0.45824
n_iter = 3 J = 30.640 max(relative change in state) = 1.6963
n_iter = 4 J = 30.025 max(relative change in state) = 0.44600
n_iter = 5 J = 29.649 max(relative change in state) = 0.29223
n_iter = 6 J = 29.550 max(relative change in state) = 0.59516E-01
n_iter = 7 J = 29.473 max(relative change in state) = 0.84190E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 348 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 349 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 349 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 87.436 max(relative change in state) = -
n_iter = 2 J = 71.950 max(relative change in state) = 0.59655
n_iter = 3 J = 44.325 max(relative change in state) = 2.2665
n_iter = 4 J = 43.559 max(relative change in state) = 0.22656
n_iter = 5 J = 44.393 max(relative change in state) = 0.49283
n_iter = 6 J = 43.303 max(relative change in state) = 0.32672
n_iter = 7 J = 43.275 max(relative change in state) = 0.14834E-01
n_iter = 8 J = 43.142 max(relative change in state) = 0.10344
n_iter = 9 J = 43.222 max(relative change in state) = 0.15173
n_iter = 10 J = 43.125 max(relative change in state) = 0.10502
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 349 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 350 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 350 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 160.37 max(relative change in state) = -
n_iter = 2 J = 114.24 max(relative change in state) = 1.7272
n_iter = 3 J = 105.04 max(relative change in state) = 1.1879
n_iter = 4 J = 106.83 max(relative change in state) = 0.94580
n_iter = 5 J = 103.69 max(relative change in state) = 0.63616
n_iter = 6 J = 103.56 max(relative change in state) = 0.12778
n_iter = 7 J = 103.44 max(relative change in state) = 0.12775
n_iter = 8 J = 103.26 max(relative change in state) = 0.97770E-01
n_iter = 9 J = 103.35 max(relative change in state) = 0.54952
n_iter = 10 J = 103.12 max(relative change in state) = 0.32370
n_iter = 11 J = 103.10 max(relative change in state) = 0.52625E-01
n_iter = 12 J = 103.06 max(relative change in state) = 0.92541E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 350 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 351 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 351 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 63.374 max(relative change in state) = -
n_iter = 2 J = 51.877 max(relative change in state) = 0.33169
n_iter = 3 J = 26.125 max(relative change in state) = 1.8694
n_iter = 4 J = 26.056 max(relative change in state) = 0.39768
n_iter = 5 J = 25.676 max(relative change in state) = 0.21010
n_iter = 6 J = 25.624 max(relative change in state) = 0.11142
n_iter = 7 J = 25.585 max(relative change in state) = 0.76762E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 351 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 352 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 352 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 67.575 max(relative change in state) = -
n_iter = 2 J = 55.759 max(relative change in state) = 0.51846
n_iter = 3 J = 36.624 max(relative change in state) = 1.5144
n_iter = 4 J = 37.017 max(relative change in state) = 0.67234
n_iter = 5 J = 36.115 max(relative change in state) = 0.42202
n_iter = 6 J = 36.057 max(relative change in state) = 0.10024
n_iter = 7 J = 36.001 max(relative change in state) = 0.12655
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 352 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 353 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 353 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 120.43 max(relative change in state) = -
n_iter = 2 J = 99.405 max(relative change in state) = 0.64806
n_iter = 3 J = 63.720 max(relative change in state) = 2.9947
n_iter = 4 J = 76.405 max(relative change in state) = 2.8182
n_iter = 5 J = 63.553 max(relative change in state) = 2.0281
n_iter = 6 J = 62.942 max(relative change in state) = 0.31537
n_iter = 7 J = 62.621 max(relative change in state) = 0.22016
n_iter = 8 J = 62.349 max(relative change in state) = 0.23275
n_iter = 9 J = 61.798 max(relative change in state) = 0.18431
n_iter = 10 J = 61.557 max(relative change in state) = 0.21907
n_iter = 11 J = 61.381 max(relative change in state) = 0.37759E-01
n_iter = 12 J = 61.231 max(relative change in state) = 0.26049
n_iter = 13 J = 61.220 max(relative change in state) = 0.23671
n_iter = 14 J = 61.136 max(relative change in state) = 0.44277E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 353 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 354 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 354 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 88.081 max(relative change in state) = -
n_iter = 2 J = 72.480 max(relative change in state) = 0.57197
n_iter = 3 J = 45.329 max(relative change in state) = 1.9888
n_iter = 4 J = 45.403 max(relative change in state) = 0.74233
n_iter = 5 J = 44.440 max(relative change in state) = 0.38483
n_iter = 6 J = 44.319 max(relative change in state) = 0.18228
n_iter = 7 J = 44.248 max(relative change in state) = 0.10959
n_iter = 8 J = 44.060 max(relative change in state) = 0.14362
n_iter = 9 J = 43.781 max(relative change in state) = 0.18149
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 354 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 355 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 355 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 140.70 max(relative change in state) = -
n_iter = 2 J = 112.93 max(relative change in state) = 1.0501
n_iter = 3 J = 83.614 max(relative change in state) = 2.5617
n_iter = 4 J = 86.236 max(relative change in state) = 1.7979
n_iter = 5 J = 82.051 max(relative change in state) = 1.2301
n_iter = 6 J = 81.837 max(relative change in state) = 0.20085
n_iter = 7 J = 81.573 max(relative change in state) = 0.31638
n_iter = 8 J = 81.337 max(relative change in state) = 0.89115E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 355 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 356 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 356 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 158.25 max(relative change in state) = -
n_iter = 2 J = 119.91 max(relative change in state) = 2.3578
n_iter = 3 J = 112.85 max(relative change in state) = 0.65521
n_iter = 4 J = 113.46 max(relative change in state) = 1.0698
n_iter = 5 J = 110.11 max(relative change in state) = 0.63844
n_iter = 6 J = 109.95 max(relative change in state) = 0.23541
n_iter = 7 J = 109.91 max(relative change in state) = 0.10787
n_iter = 8 J = 109.84 max(relative change in state) = 0.84928E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 356 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 357 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 357 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 296.41 max(relative change in state) = -
n_iter = 2 J = 150.21 max(relative change in state) = 8.3634
n_iter = 3 J = 134.32 max(relative change in state) = 1.8195
n_iter = 4 J = 132.82 max(relative change in state) = 0.81535
n_iter = 5 J = 131.73 max(relative change in state) = 0.36476
n_iter = 6 J = 131.47 max(relative change in state) = 0.24345
n_iter = 7 J = 131.19 max(relative change in state) = 0.20718
n_iter = 8 J = 130.95 max(relative change in state) = 0.14416
n_iter = 9 J = 131.02 max(relative change in state) = 0.36497
n_iter = 10 J = 130.88 max(relative change in state) = 0.19387
n_iter = 11 J = 130.87 max(relative change in state) = 0.36179E-01
n_iter = 12 J = 130.84 max(relative change in state) = 0.86822E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 357 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 358 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 358 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 220.27 max(relative change in state) = -
n_iter = 2 J = 147.82 max(relative change in state) = 4.1839
n_iter = 3 J = 128.77 max(relative change in state) = 1.3518
n_iter = 4 J = 127.65 max(relative change in state) = 1.1267
n_iter = 5 J = 125.39 max(relative change in state) = 0.62325
n_iter = 6 J = 125.05 max(relative change in state) = 0.27131
n_iter = 7 J = 124.84 max(relative change in state) = 0.37489
n_iter = 8 J = 124.60 max(relative change in state) = 0.12301
n_iter = 9 J = 124.41 max(relative change in state) = 0.20186
n_iter = 10 J = 124.30 max(relative change in state) = 0.93676E-01
n_iter = 11 J = 124.16 max(relative change in state) = 0.71132E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 358 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 359 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 359 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 84.728 max(relative change in state) = -
n_iter = 2 J = 70.004 max(relative change in state) = 0.60981
n_iter = 3 J = 45.490 max(relative change in state) = 1.7431
n_iter = 4 J = 44.935 max(relative change in state) = 0.78413
n_iter = 5 J = 43.783 max(relative change in state) = 0.39743
n_iter = 6 J = 43.629 max(relative change in state) = 0.22503
n_iter = 7 J = 43.520 max(relative change in state) = 0.16814
n_iter = 8 J = 43.364 max(relative change in state) = 0.48571E-01
n_iter = 9 J = 43.363 max(relative change in state) = 0.19622
n_iter = 10 J = 43.204 max(relative change in state) = 0.57342E-01
n_iter = 11 J = 43.179 max(relative change in state) = 0.64870E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 359 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 360 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 360 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 110.48 max(relative change in state) = -
n_iter = 2 J = 90.973 max(relative change in state) = 0.59759
n_iter = 3 J = 54.042 max(relative change in state) = 1.9463
n_iter = 4 J = 52.757 max(relative change in state) = 0.29201
n_iter = 5 J = 53.248 max(relative change in state) = 0.79935
n_iter = 6 J = 51.230 max(relative change in state) = 0.46537
n_iter = 7 J = 50.968 max(relative change in state) = 0.17282
n_iter = 8 J = 50.676 max(relative change in state) = 0.15648
n_iter = 9 J = 50.262 max(relative change in state) = 0.19705
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 360 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 361 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 361 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.113 max(relative change in state) = -
n_iter = 2 J = 54.167 max(relative change in state) = 0.57504
n_iter = 3 J = 29.775 max(relative change in state) = 2.3306
n_iter = 4 J = 29.379 max(relative change in state) = 0.31921
n_iter = 5 J = 28.975 max(relative change in state) = 0.18487
n_iter = 6 J = 28.874 max(relative change in state) = 0.21637
n_iter = 7 J = 28.857 max(relative change in state) = 0.14119E-01
n_iter = 8 J = 28.840 max(relative change in state) = 0.81903E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 361 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 362 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 362 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 125.77 max(relative change in state) = -
n_iter = 2 J = 103.97 max(relative change in state) = 0.94287
n_iter = 3 J = 71.667 max(relative change in state) = 2.6968
n_iter = 4 J = 70.962 max(relative change in state) = 0.64560
n_iter = 5 J = 70.176 max(relative change in state) = 0.26401
n_iter = 6 J = 70.036 max(relative change in state) = 0.22979
n_iter = 7 J = 69.992 max(relative change in state) = 0.12333
n_iter = 8 J = 69.960 max(relative change in state) = 0.19915E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 362 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 363 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 363 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 429.89 max(relative change in state) = -
n_iter = 2 J = 406.26 max(relative change in state) = 6.9073
n_iter = 3 J = 287.61 max(relative change in state) = 4.3013
n_iter = 4 J = 281.40 max(relative change in state) = 0.55001
n_iter = 5 J = 277.02 max(relative change in state) = 0.77975
n_iter = 6 J = 273.19 max(relative change in state) = 0.35541
n_iter = 7 J = 269.12 max(relative change in state) = 0.64679
n_iter = 8 J = 269.66 max(relative change in state) = 0.50792
n_iter = 9 J = 266.92 max(relative change in state) = 0.39876
n_iter = 10 J = 266.39 max(relative change in state) = 0.10010
n_iter = 11 J = 265.14 max(relative change in state) = 0.55267
n_iter = 12 J = 264.72 max(relative change in state) = 1.0370
n_iter = 13 J = 262.91 max(relative change in state) = 0.39807
n_iter = 14 J = 262.41 max(relative change in state) = 0.35385
n_iter = 15 J = 262.10 max(relative change in state) = 0.22839
n_iter = 16 J = 261.89 max(relative change in state) = 0.26053
n_iter = 17 J = 261.40 max(relative change in state) = 0.35255
n_iter = 18 J = 261.01 max(relative change in state) = 0.31964
n_iter = 19 J = 260.87 max(relative change in state) = 0.19364
n_iter = 20 J = 260.80 max(relative change in state) = 0.51827
n_iter = 21 J = 260.60 max(relative change in state) = 0.25304
n_iter = 22 J = 260.60 max(relative change in state) = 0.19144
n_iter = 23 J = 260.52 max(relative change in state) = 0.10360
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 23.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 363 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 364 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 364 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 101.01 max(relative change in state) = -
n_iter = 2 J = 83.009 max(relative change in state) = 0.56778
n_iter = 3 J = 46.817 max(relative change in state) = 1.7234
n_iter = 4 J = 45.330 max(relative change in state) = 0.36653
n_iter = 5 J = 48.104 max(relative change in state) = 0.23757
n_iter = 6 J = 45.218 max(relative change in state) = 0.20911
n_iter = 7 J = 45.196 max(relative change in state) = 0.95239E-02
n_iter = 8 J = 45.095 max(relative change in state) = 0.15292
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 364 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 365 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 365 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 78.163 max(relative change in state) = -
n_iter = 2 J = 64.705 max(relative change in state) = 0.70093
n_iter = 3 J = 45.956 max(relative change in state) = 1.5913
n_iter = 4 J = 44.851 max(relative change in state) = 0.26957
n_iter = 5 J = 44.925 max(relative change in state) = 0.32992
n_iter = 6 J = 44.429 max(relative change in state) = 0.10423
n_iter = 7 J = 44.382 max(relative change in state) = 0.16734E-01
n_iter = 8 J = 44.231 max(relative change in state) = 0.17240
n_iter = 9 J = 44.118 max(relative change in state) = 0.18049
n_iter = 10 J = 43.952 max(relative change in state) = 0.62959E-01
n_iter = 11 J = 43.904 max(relative change in state) = 0.77555E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 365 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 366 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 366 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 229.02 max(relative change in state) = -
n_iter = 2 J = 120.97 max(relative change in state) = 4.8858
n_iter = 3 J = 111.27 max(relative change in state) = 1.1845
n_iter = 4 J = 110.16 max(relative change in state) = 0.48310
n_iter = 5 J = 108.99 max(relative change in state) = 0.28975
n_iter = 6 J = 108.79 max(relative change in state) = 0.56948E-01
n_iter = 7 J = 108.58 max(relative change in state) = 0.22239
n_iter = 8 J = 108.21 max(relative change in state) = 0.16351
n_iter = 9 J = 107.73 max(relative change in state) = 0.29078
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 366 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 367 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 367 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 218.21 max(relative change in state) = -
n_iter = 2 J = 118.69 max(relative change in state) = 3.8495
n_iter = 3 J = 109.35 max(relative change in state) = 1.1659
n_iter = 4 J = 105.79 max(relative change in state) = 0.56401
n_iter = 5 J = 111.66 max(relative change in state) = 2.5752
n_iter = 6 J = 105.08 max(relative change in state) = 2.1193
n_iter = 7 J = 104.95 max(relative change in state) = 0.71051E-01
n_iter = 8 J = 104.86 max(relative change in state) = 0.11628
n_iter = 9 J = 104.78 max(relative change in state) = 0.16960
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 367 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 368 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 368 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 177.16 max(relative change in state) = -
n_iter = 2 J = 109.07 max(relative change in state) = 2.8155
n_iter = 3 J = 98.358 max(relative change in state) = 0.88394
n_iter = 4 J = 101.42 max(relative change in state) = 1.5913
n_iter = 5 J = 97.268 max(relative change in state) = 1.1186
n_iter = 6 J = 97.050 max(relative change in state) = 0.12361
n_iter = 7 J = 96.470 max(relative change in state) = 0.42254
n_iter = 8 J = 96.071 max(relative change in state) = 0.21094
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 368 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 369 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 369 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.651 max(relative change in state) = -
n_iter = 2 J = 55.351 max(relative change in state) = 0.65436
n_iter = 3 J = 42.094 max(relative change in state) = 1.5661
n_iter = 4 J = 41.630 max(relative change in state) = 0.26851
n_iter = 5 J = 41.310 max(relative change in state) = 0.12686
n_iter = 6 J = 41.281 max(relative change in state) = 0.42166E-01
n_iter = 7 J = 41.231 max(relative change in state) = 0.78507E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 369 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 370 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 370 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 102.28 max(relative change in state) = -
n_iter = 2 J = 84.128 max(relative change in state) = 0.61265
n_iter = 3 J = 50.527 max(relative change in state) = 2.7557
n_iter = 4 J = 45.442 max(relative change in state) = 0.92823
n_iter = 5 J = 47.478 max(relative change in state) = 1.0056
n_iter = 6 J = 45.179 max(relative change in state) = 0.76156
n_iter = 7 J = 45.113 max(relative change in state) = 0.18906E-01
n_iter = 8 J = 44.750 max(relative change in state) = 0.19843
n_iter = 9 J = 44.694 max(relative change in state) = 0.19659
n_iter = 10 J = 44.651 max(relative change in state) = 0.15303
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 370 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 371 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 371 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 371 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 372 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 372 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 88.583 max(relative change in state) = -
n_iter = 2 J = 74.016 max(relative change in state) = 0.69341
n_iter = 3 J = 57.672 max(relative change in state) = 2.2103
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 372 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 373 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 373 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 99.775 max(relative change in state) = -
n_iter = 2 J = 81.806 max(relative change in state) = 0.59504
n_iter = 3 J = 44.452 max(relative change in state) = 2.1473
n_iter = 4 J = 43.564 max(relative change in state) = 0.26856
n_iter = 5 J = 43.734 max(relative change in state) = 0.32311
n_iter = 6 J = 43.196 max(relative change in state) = 0.15322
n_iter = 7 J = 43.166 max(relative change in state) = 0.15646E-01
n_iter = 8 J = 43.061 max(relative change in state) = 0.12801
n_iter = 9 J = 43.153 max(relative change in state) = 0.11956
n_iter = 10 J = 43.034 max(relative change in state) = 0.88541E-01
n_iter = 11 J = 43.027 max(relative change in state) = 0.60078E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 373 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 374 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 374 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 151.57 max(relative change in state) = -
n_iter = 2 J = 113.28 max(relative change in state) = 1.5662
n_iter = 3 J = 85.881 max(relative change in state) = 3.5275
n_iter = 4 J = 84.181 max(relative change in state) = 0.61147
n_iter = 5 J = 84.668 max(relative change in state) = 0.51373
n_iter = 6 J = 83.552 max(relative change in state) = 0.22830
n_iter = 7 J = 83.398 max(relative change in state) = 0.42374E-01
n_iter = 8 J = 83.775 max(relative change in state) = 0.32161
n_iter = 9 J = 83.279 max(relative change in state) = 0.21286
n_iter = 10 J = 83.244 max(relative change in state) = 0.97396E-01
n_iter = 11 J = 83.086 max(relative change in state) = 0.45725E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 374 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 375 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 375 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 375 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 376 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 376 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 103.17 max(relative change in state) = -
n_iter = 2 J = 84.787 max(relative change in state) = 0.70027
n_iter = 3 J = 52.767 max(relative change in state) = 2.5017
n_iter = 4 J = 51.701 max(relative change in state) = 0.35733
n_iter = 5 J = 51.101 max(relative change in state) = 0.34926
n_iter = 6 J = 50.900 max(relative change in state) = 0.11503
n_iter = 7 J = 50.872 max(relative change in state) = 0.25555E-01
n_iter = 8 J = 50.906 max(relative change in state) = 0.15115
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 376 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 377 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 377 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 99.897 max(relative change in state) = -
n_iter = 2 J = 83.681 max(relative change in state) = 0.98372
n_iter = 3 J = 60.254 max(relative change in state) = 3.3857
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 377 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 378 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 378 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 296.63 max(relative change in state) = -
n_iter = 2 J = 127.41 max(relative change in state) = 5.6976
n_iter = 3 J = 116.07 max(relative change in state) = 0.96408
n_iter = 4 J = 111.98 max(relative change in state) = 0.69487
n_iter = 5 J = 122.25 max(relative change in state) = 0.74345
n_iter = 6 J = 111.34 max(relative change in state) = 0.63681
n_iter = 7 J = 111.19 max(relative change in state) = 0.32016E-01
n_iter = 8 J = 110.75 max(relative change in state) = 0.25676
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 378 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 379 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 379 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 139.74 max(relative change in state) = -
n_iter = 2 J = 111.90 max(relative change in state) = 0.71862
n_iter = 3 J = 71.936 max(relative change in state) = 2.7064
n_iter = 4 J = 74.193 max(relative change in state) = 1.3147
n_iter = 5 J = 71.067 max(relative change in state) = 0.78216
n_iter = 6 J = 70.778 max(relative change in state) = 0.23387
n_iter = 7 J = 70.651 max(relative change in state) = 0.20852
n_iter = 8 J = 70.563 max(relative change in state) = 0.81284E-01
n_iter = 9 J = 70.259 max(relative change in state) = 0.18519
n_iter = 10 J = 70.482 max(relative change in state) = 0.20274
n_iter = 11 J = 70.180 max(relative change in state) = 0.10695
n_iter = 12 J = 70.169 max(relative change in state) = 0.95290E-02
n_iter = 13 J = 70.137 max(relative change in state) = 0.91627E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 379 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 380 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 380 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 236.92 max(relative change in state) = -
n_iter = 2 J = 141.64 max(relative change in state) = 5.6346
n_iter = 3 J = 129.40 max(relative change in state) = 0.99150
n_iter = 4 J = 129.31 max(relative change in state) = 1.4591
n_iter = 5 J = 124.98 max(relative change in state) = 0.83079
n_iter = 6 J = 124.25 max(relative change in state) = 0.40888
n_iter = 7 J = 123.19 max(relative change in state) = 0.41116
n_iter = 8 J = 123.21 max(relative change in state) = 0.23062
n_iter = 9 J = 122.54 max(relative change in state) = 0.28743
n_iter = 10 J = 121.95 max(relative change in state) = 0.21725
n_iter = 11 J = 120.70 max(relative change in state) = 0.69599
n_iter = 12 J = 121.39 max(relative change in state) = 0.78653
n_iter = 13 J = 119.95 max(relative change in state) = 0.35732
n_iter = 14 J = 119.85 max(relative change in state) = 0.59563E-01
n_iter = 15 J = 119.69 max(relative change in state) = 0.10379
n_iter = 16 J = 119.54 max(relative change in state) = 0.12917
n_iter = 17 J = 119.46 max(relative change in state) = 0.20323
n_iter = 18 J = 119.40 max(relative change in state) = 0.37229E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 380 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 381 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 381 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 140.96 max(relative change in state) = -
n_iter = 2 J = 112.55 max(relative change in state) = 1.0244
n_iter = 3 J = 86.530 max(relative change in state) = 1.8674
n_iter = 4 J = 88.599 max(relative change in state) = 1.1647
n_iter = 5 J = 85.453 max(relative change in state) = 0.79773
n_iter = 6 J = 85.285 max(relative change in state) = 0.11356
n_iter = 7 J = 85.022 max(relative change in state) = 0.27843
n_iter = 8 J = 84.831 max(relative change in state) = 0.68239E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 381 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 382 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 382 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 254.17 max(relative change in state) = -
n_iter = 2 J = 165.17 max(relative change in state) = 5.5488
n_iter = 3 J = 147.58 max(relative change in state) = 1.9610
n_iter = 4 J = 149.68 max(relative change in state) = 1.1229
n_iter = 5 J = 146.12 max(relative change in state) = 0.72118
n_iter = 6 J = 145.86 max(relative change in state) = 0.98161E-01
n_iter = 7 J = 145.37 max(relative change in state) = 0.23269
n_iter = 8 J = 145.01 max(relative change in state) = 0.20766
n_iter = 9 J = 144.80 max(relative change in state) = 0.28716
n_iter = 10 J = 144.60 max(relative change in state) = 0.80814E-01
n_iter = 11 J = 144.51 max(relative change in state) = 0.31621
n_iter = 12 J = 144.46 max(relative change in state) = 0.20248
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 382 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 383 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 383 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.92 max(relative change in state) = -
n_iter = 2 J = 90.115 max(relative change in state) = 0.65307
n_iter = 3 J = 61.956 max(relative change in state) = 1.6982
n_iter = 4 J = 60.011 max(relative change in state) = 0.44093
n_iter = 5 J = 62.982 max(relative change in state) = 1.2075
n_iter = 6 J = 59.837 max(relative change in state) = 0.99529
n_iter = 7 J = 59.793 max(relative change in state) = 0.15866E-01
n_iter = 8 J = 59.617 max(relative change in state) = 0.13018
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 383 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 384 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 384 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 384 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 385 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 385 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 348.03 max(relative change in state) = -
n_iter = 2 J = 344.89 max(relative change in state) = 7.5361
n_iter = 3 J = 215.91 max(relative change in state) = 4.7449
n_iter = 4 J = 213.89 max(relative change in state) = 1.1065
n_iter = 5 J = 211.89 max(relative change in state) = 0.40029
n_iter = 6 J = 211.00 max(relative change in state) = 0.50947
n_iter = 7 J = 210.54 max(relative change in state) = 0.10780
n_iter = 8 J = 210.06 max(relative change in state) = 0.13415
n_iter = 9 J = 210.50 max(relative change in state) = 0.49702
n_iter = 10 J = 209.67 max(relative change in state) = 0.29252
n_iter = 11 J = 209.60 max(relative change in state) = 0.68180E-01
n_iter = 12 J = 209.51 max(relative change in state) = 0.18136
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 385 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 386 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 386 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 67.705 max(relative change in state) = -
n_iter = 2 J = 56.619 max(relative change in state) = 0.67493
n_iter = 3 J = 45.704 max(relative change in state) = 1.2241
n_iter = 4 J = 44.520 max(relative change in state) = 0.30878
n_iter = 5 J = 46.021 max(relative change in state) = 0.32822
n_iter = 6 J = 44.255 max(relative change in state) = 0.25856
n_iter = 7 J = 44.231 max(relative change in state) = 0.14818E-01
n_iter = 8 J = 44.085 max(relative change in state) = 0.16311
n_iter = 9 J = 44.168 max(relative change in state) = 0.28131
n_iter = 10 J = 44.064 max(relative change in state) = 0.19356
n_iter = 11 J = 44.060 max(relative change in state) = 0.28056E-01
n_iter = 12 J = 44.055 max(relative change in state) = 0.45948E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 386 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 387 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 387 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 118.63 max(relative change in state) = -
n_iter = 2 J = 97.764 max(relative change in state) = 0.63469
n_iter = 3 J = 54.322 max(relative change in state) = 2.3317
n_iter = 4 J = 52.508 max(relative change in state) = 0.35608
n_iter = 5 J = 52.480 max(relative change in state) = 0.51984
n_iter = 6 J = 51.506 max(relative change in state) = 0.19228
n_iter = 7 J = 51.376 max(relative change in state) = 0.29110E-01
n_iter = 8 J = 51.750 max(relative change in state) = 0.26240
n_iter = 9 J = 51.205 max(relative change in state) = 0.15557
n_iter = 10 J = 51.111 max(relative change in state) = 0.38962E-01
n_iter = 11 J = 51.087 max(relative change in state) = 0.10221
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 387 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 388 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 388 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 115.87 max(relative change in state) = -
n_iter = 2 J = 95.625 max(relative change in state) = 0.80450
n_iter = 3 J = 63.574 max(relative change in state) = 2.2806
n_iter = 4 J = 66.138 max(relative change in state) = 1.5775
n_iter = 5 J = 62.234 max(relative change in state) = 1.0185
n_iter = 6 J = 61.988 max(relative change in state) = 0.12439
n_iter = 7 J = 61.346 max(relative change in state) = 0.38476
n_iter = 8 J = 60.904 max(relative change in state) = 0.14961
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 388 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 389 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 389 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 39.321 max(relative change in state) = -
n_iter = 2 J = 32.431 max(relative change in state) = 0.38332
n_iter = 3 J = 21.246 max(relative change in state) = 1.2824
n_iter = 4 J = 20.394 max(relative change in state) = 0.25554
n_iter = 5 J = 21.699 max(relative change in state) = 0.64303
n_iter = 6 J = 20.151 max(relative change in state) = 0.45729
n_iter = 7 J = 20.124 max(relative change in state) = 0.15988E-01
n_iter = 8 J = 20.036 max(relative change in state) = 0.86815E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 389 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 390 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 390 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 172.08 max(relative change in state) = -
n_iter = 2 J = 118.06 max(relative change in state) = 4.0391
n_iter = 3 J = 112.21 max(relative change in state) = 1.2825
n_iter = 4 J = 111.49 max(relative change in state) = 0.51922
n_iter = 5 J = 110.52 max(relative change in state) = 0.36761
n_iter = 6 J = 110.25 max(relative change in state) = 0.11563
n_iter = 7 J = 110.36 max(relative change in state) = 0.24138
n_iter = 8 J = 109.88 max(relative change in state) = 0.11138
n_iter = 9 J = 109.72 max(relative change in state) = 0.73390E-01
n_iter = 10 J = 109.86 max(relative change in state) = 0.13553
n_iter = 11 J = 109.63 max(relative change in state) = 0.86651E-01
n_iter = 12 J = 109.57 max(relative change in state) = 0.36531E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 390 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 391 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 391 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 83.011 max(relative change in state) = -
n_iter = 2 J = 68.414 max(relative change in state) = 0.53534
n_iter = 3 J = 43.841 max(relative change in state) = 1.8813
n_iter = 4 J = 42.529 max(relative change in state) = 0.22150
n_iter = 5 J = 45.177 max(relative change in state) = 0.26037
n_iter = 6 J = 42.138 max(relative change in state) = 0.16450
n_iter = 7 J = 42.046 max(relative change in state) = 0.15524E-01
n_iter = 8 J = 41.829 max(relative change in state) = 0.10885
n_iter = 9 J = 41.791 max(relative change in state) = 0.42593E-01
n_iter = 10 J = 41.771 max(relative change in state) = 0.42407E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 391 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 392 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 392 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.995 max(relative change in state) = -
n_iter = 2 J = 42.741 max(relative change in state) = 0.56503
n_iter = 3 J = 24.796 max(relative change in state) = 2.3401
n_iter = 4 J = 23.623 max(relative change in state) = 0.25881
n_iter = 5 J = 27.389 max(relative change in state) = 0.98995
n_iter = 6 J = 23.341 max(relative change in state) = 0.81887
n_iter = 7 J = 23.278 max(relative change in state) = 0.25438E-01
n_iter = 8 J = 23.125 max(relative change in state) = 0.15279
n_iter = 9 J = 23.127 max(relative change in state) = 0.68338E-01
n_iter = 10 J = 23.114 max(relative change in state) = 0.23099E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 392 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 393 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 393 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 125.75 max(relative change in state) = -
n_iter = 2 J = 102.94 max(relative change in state) = 0.92824
n_iter = 3 J = 52.709 max(relative change in state) = 4.5422
n_iter = 4 J = 71.490 max(relative change in state) = 3.3751
n_iter = 5 J = 52.229 max(relative change in state) = 2.9021
n_iter = 6 J = 52.129 max(relative change in state) = 0.26360E-01
n_iter = 7 J = 51.851 max(relative change in state) = 0.29702
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 393 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 394 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 394 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 138.61 max(relative change in state) = -
n_iter = 2 J = 112.55 max(relative change in state) = 0.93924
n_iter = 3 J = 74.161 max(relative change in state) = 2.5875
n_iter = 4 J = 70.760 max(relative change in state) = 0.68639
n_iter = 5 J = 77.822 max(relative change in state) = 1.6138
n_iter = 6 J = 69.890 max(relative change in state) = 1.2191
n_iter = 7 J = 69.762 max(relative change in state) = 0.35701E-01
n_iter = 8 J = 69.395 max(relative change in state) = 0.24435
n_iter = 9 J = 69.385 max(relative change in state) = 0.21817
n_iter = 10 J = 69.298 max(relative change in state) = 0.79796E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 394 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 395 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 395 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 210.65 max(relative change in state) = -
n_iter = 2 J = 171.15 max(relative change in state) = 3.4520
n_iter = 3 J = 146.92 max(relative change in state) = 1.6759
n_iter = 4 J = 146.74 max(relative change in state) = 1.1059
n_iter = 5 J = 144.53 max(relative change in state) = 0.56665
n_iter = 6 J = 144.18 max(relative change in state) = 0.26411
n_iter = 7 J = 143.88 max(relative change in state) = 0.24820
n_iter = 8 J = 143.26 max(relative change in state) = 0.13721
n_iter = 9 J = 142.71 max(relative change in state) = 0.27258
n_iter = 10 J = 142.59 max(relative change in state) = 0.17419
n_iter = 11 J = 142.44 max(relative change in state) = 0.90174E-01
n_iter = 12 J = 142.37 max(relative change in state) = 0.14607
n_iter = 13 J = 142.32 max(relative change in state) = 0.22114E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 395 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 396 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 396 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 174.24 max(relative change in state) = -
n_iter = 2 J = 105.54 max(relative change in state) = 1.9800
n_iter = 3 J = 83.388 max(relative change in state) = 1.6658
n_iter = 4 J = 80.757 max(relative change in state) = 0.71793
n_iter = 5 J = 84.284 max(relative change in state) = 0.95288
n_iter = 6 J = 80.227 max(relative change in state) = 0.70043
n_iter = 7 J = 80.097 max(relative change in state) = 0.23846E-01
n_iter = 8 J = 80.150 max(relative change in state) = 0.41906
n_iter = 9 J = 80.026 max(relative change in state) = 0.33924
n_iter = 10 J = 79.435 max(relative change in state) = 0.20368
n_iter = 11 J = 79.330 max(relative change in state) = 0.47503E-01
n_iter = 12 J = 79.314 max(relative change in state) = 0.78873E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 396 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 397 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 397 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 87.726 max(relative change in state) = -
n_iter = 2 J = 73.503 max(relative change in state) = 0.65770
n_iter = 3 J = 56.332 max(relative change in state) = 1.1216
n_iter = 4 J = 54.391 max(relative change in state) = 0.67503
n_iter = 5 J = 57.136 max(relative change in state) = 0.84071
n_iter = 6 J = 54.005 max(relative change in state) = 0.61918
n_iter = 7 J = 53.934 max(relative change in state) = 0.13048E-01
n_iter = 8 J = 53.568 max(relative change in state) = 0.16270
n_iter = 9 J = 53.643 max(relative change in state) = 0.80382E-01
n_iter = 10 J = 53.437 max(relative change in state) = 0.47378E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 397 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 398 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 398 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 73.878 max(relative change in state) = -
n_iter = 2 J = 61.031 max(relative change in state) = 0.52736
n_iter = 3 J = 37.844 max(relative change in state) = 1.9254
n_iter = 4 J = 35.881 max(relative change in state) = 0.35601
n_iter = 5 J = 35.875 max(relative change in state) = 0.51829
n_iter = 6 J = 34.655 max(relative change in state) = 0.20408
n_iter = 7 J = 34.543 max(relative change in state) = 0.32615E-01
n_iter = 8 J = 34.446 max(relative change in state) = 0.17885
n_iter = 9 J = 34.380 max(relative change in state) = 0.77482E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 398 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 399 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 399 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 399 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 400 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 400 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.409 max(relative change in state) = -
n_iter = 2 J = 55.021 max(relative change in state) = 0.57735
n_iter = 3 J = 34.193 max(relative change in state) = 2.5326
n_iter = 4 J = 35.019 max(relative change in state) = 0.67182
n_iter = 5 J = 33.487 max(relative change in state) = 0.43846
n_iter = 6 J = 33.329 max(relative change in state) = 0.45669E-01
n_iter = 7 J = 33.236 max(relative change in state) = 0.44058E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 400 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 401 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 401 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 163.90 max(relative change in state) = -
n_iter = 2 J = 117.69 max(relative change in state) = 2.1289
n_iter = 3 J = 105.54 max(relative change in state) = 1.5143
n_iter = 4 J = 108.32 max(relative change in state) = 1.7595
n_iter = 5 J = 104.02 max(relative change in state) = 1.2221
n_iter = 6 J = 103.70 max(relative change in state) = 0.20717
n_iter = 7 J = 103.40 max(relative change in state) = 0.45994
n_iter = 8 J = 102.98 max(relative change in state) = 0.96597E-01
n_iter = 9 J = 103.06 max(relative change in state) = 0.31794
n_iter = 10 J = 102.40 max(relative change in state) = 0.45116
n_iter = 11 J = 102.30 max(relative change in state) = 0.60075E-01
n_iter = 12 J = 102.28 max(relative change in state) = 0.30611
n_iter = 13 J = 102.14 max(relative change in state) = 0.15131
n_iter = 14 J = 102.08 max(relative change in state) = 0.21259
n_iter = 15 J = 101.96 max(relative change in state) = 0.73246E-01
n_iter = 16 J = 101.94 max(relative change in state) = 0.16761
n_iter = 17 J = 101.88 max(relative change in state) = 0.30048E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 17.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 401 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 402 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 402 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 289.85 max(relative change in state) = -
n_iter = 2 J = 289.24 max(relative change in state) = 7.9254
n_iter = 3 J = 199.15 max(relative change in state) = 4.1423
n_iter = 4 J = 197.86 max(relative change in state) = 0.24894
n_iter = 5 J = 196.86 max(relative change in state) = 0.30320
n_iter = 6 J = 196.66 max(relative change in state) = 0.81848E-01
n_iter = 7 J = 196.36 max(relative change in state) = 0.19701
n_iter = 8 J = 196.51 max(relative change in state) = 0.56393
n_iter = 9 J = 196.28 max(relative change in state) = 0.38102
n_iter = 10 J = 196.27 max(relative change in state) = 0.20587E-01
n_iter = 11 J = 196.24 max(relative change in state) = 0.66260E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 402 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 403 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 403 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 205.37 max(relative change in state) = -
n_iter = 2 J = 138.82 max(relative change in state) = 3.9690
n_iter = 3 J = 121.89 max(relative change in state) = 1.3937
n_iter = 4 J = 116.31 max(relative change in state) = 1.3681
n_iter = 5 J = 128.41 max(relative change in state) = 2.5150
n_iter = 6 J = 115.47 max(relative change in state) = 2.0059
n_iter = 7 J = 115.39 max(relative change in state) = 0.17353E-01
n_iter = 8 J = 115.10 max(relative change in state) = 0.19079
n_iter = 9 J = 115.20 max(relative change in state) = 0.12502
n_iter = 10 J = 114.98 max(relative change in state) = 0.82281E-01
n_iter = 11 J = 114.98 max(relative change in state) = 0.17591E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 403 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 404 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 404 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 135.65 max(relative change in state) = -
n_iter = 2 J = 114.00 max(relative change in state) = 1.0174
n_iter = 3 J = 93.925 max(relative change in state) = 1.4502
n_iter = 4 J = 91.472 max(relative change in state) = 0.65147
n_iter = 5 J = 91.251 max(relative change in state) = 0.56149
n_iter = 6 J = 90.415 max(relative change in state) = 0.19357
n_iter = 7 J = 90.272 max(relative change in state) = 0.54671E-01
n_iter = 8 J = 90.827 max(relative change in state) = 0.23679
n_iter = 9 J = 90.149 max(relative change in state) = 0.18050
n_iter = 10 J = 90.079 max(relative change in state) = 0.35044E-01
n_iter = 11 J = 90.013 max(relative change in state) = 0.15792
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 404 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 405 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 405 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 172.73 max(relative change in state) = -
n_iter = 2 J = 109.70 max(relative change in state) = 2.3812
n_iter = 3 J = 96.187 max(relative change in state) = 1.9820
n_iter = 4 J = 94.321 max(relative change in state) = 0.95696
n_iter = 5 J = 93.265 max(relative change in state) = 0.89053
n_iter = 6 J = 92.717 max(relative change in state) = 0.13941
n_iter = 7 J = 92.627 max(relative change in state) = 0.49580E-01
n_iter = 8 J = 92.407 max(relative change in state) = 0.19126
n_iter = 9 J = 92.330 max(relative change in state) = 0.27250
n_iter = 10 J = 92.266 max(relative change in state) = 0.11821
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 405 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 406 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 406 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 82.168 max(relative change in state) = -
n_iter = 2 J = 68.819 max(relative change in state) = 0.76711
n_iter = 3 J = 55.989 max(relative change in state) = 1.1725
n_iter = 4 J = 54.445 max(relative change in state) = 0.27544
n_iter = 5 J = 57.896 max(relative change in state) = 0.27167
n_iter = 6 J = 54.226 max(relative change in state) = 0.23259
n_iter = 7 J = 54.200 max(relative change in state) = 0.11555E-01
n_iter = 8 J = 54.099 max(relative change in state) = 0.12854
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 406 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 407 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 407 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 242.33 max(relative change in state) = -
n_iter = 2 J = 140.17 max(relative change in state) = 4.1941
n_iter = 3 J = 122.51 max(relative change in state) = 1.2437
n_iter = 4 J = 122.89 max(relative change in state) = 1.7858
n_iter = 5 J = 117.48 max(relative change in state) = 0.96976
n_iter = 6 J = 117.01 max(relative change in state) = 0.40844
n_iter = 7 J = 116.78 max(relative change in state) = 0.23231
n_iter = 8 J = 116.37 max(relative change in state) = 0.11301
n_iter = 9 J = 116.33 max(relative change in state) = 0.57962
n_iter = 10 J = 115.80 max(relative change in state) = 0.21571
n_iter = 11 J = 115.71 max(relative change in state) = 0.17220
n_iter = 12 J = 115.65 max(relative change in state) = 0.84043E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 407 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 408 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 408 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 251.41 max(relative change in state) = -
n_iter = 2 J = 276.71 max(relative change in state) = 6.2921
n_iter = 3 J = 185.07 max(relative change in state) = 3.6217
n_iter = 4 J = 183.29 max(relative change in state) = 0.56470
n_iter = 5 J = 181.52 max(relative change in state) = 0.23588
n_iter = 6 J = 181.10 max(relative change in state) = 0.59326
n_iter = 7 J = 180.91 max(relative change in state) = 0.97722E-01
n_iter = 8 J = 180.71 max(relative change in state) = 0.23900
n_iter = 9 J = 180.64 max(relative change in state) = 0.13243
n_iter = 10 J = 180.62 max(relative change in state) = 0.20417E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 408 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 409 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 409 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 409 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 410 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 410 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 344.21 max(relative change in state) = -
n_iter = 2 J = 208.93 max(relative change in state) = 7.3302
n_iter = 3 J = 170.91 max(relative change in state) = 2.3840
n_iter = 4 J = 168.26 max(relative change in state) = 0.94910
n_iter = 5 J = 165.66 max(relative change in state) = 0.32325
n_iter = 6 J = 164.71 max(relative change in state) = 0.41767
n_iter = 7 J = 163.89 max(relative change in state) = 0.20658
n_iter = 8 J = 163.37 max(relative change in state) = 0.16613
n_iter = 9 J = 163.21 max(relative change in state) = 0.20709
n_iter = 10 J = 163.14 max(relative change in state) = 0.48930E-01
n_iter = 11 J = 163.03 max(relative change in state) = 0.15928
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 410 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 411 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 411 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 227.99 max(relative change in state) = -
n_iter = 2 J = 123.62 max(relative change in state) = 3.8344
n_iter = 3 J = 114.04 max(relative change in state) = 0.50005
n_iter = 4 J = 111.98 max(relative change in state) = 1.8065
n_iter = 5 J = 107.06 max(relative change in state) = 1.3448
n_iter = 6 J = 106.59 max(relative change in state) = 0.20540
n_iter = 7 J = 106.40 max(relative change in state) = 0.21245
n_iter = 8 J = 106.22 max(relative change in state) = 0.10816
n_iter = 9 J = 106.07 max(relative change in state) = 0.39720
n_iter = 10 J = 105.95 max(relative change in state) = 0.29414
n_iter = 11 J = 105.93 max(relative change in state) = 0.18207E-01
n_iter = 12 J = 105.92 max(relative change in state) = 0.24646E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 411 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 412 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 412 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 65.867 max(relative change in state) = -
n_iter = 2 J = 57.712 max(relative change in state) = 0.89879
n_iter = 3 J = 55.720 max(relative change in state) = 0.99942
n_iter = 4 J = 56.586 max(relative change in state) = 0.46417
n_iter = 5 J = 55.496 max(relative change in state) = 0.33953
n_iter = 6 J = 55.442 max(relative change in state) = 0.41558E-01
n_iter = 7 J = 55.359 max(relative change in state) = 0.10095
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 412 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 413 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 413 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 131.94 max(relative change in state) = -
n_iter = 2 J = 109.19 max(relative change in state) = 0.61608
n_iter = 3 J = 74.807 max(relative change in state) = 1.1633
n_iter = 4 J = 66.214 max(relative change in state) = 0.66110
n_iter = 5 J = 63.120 max(relative change in state) = 0.37827
n_iter = 6 J = 61.980 max(relative change in state) = 0.73143
n_iter = 7 J = 60.536 max(relative change in state) = 0.24511
n_iter = 8 J = 60.048 max(relative change in state) = 0.25281
n_iter = 9 J = 59.736 max(relative change in state) = 0.15677
n_iter = 10 J = 59.902 max(relative change in state) = 0.30987
n_iter = 11 J = 59.266 max(relative change in state) = 0.15000
n_iter = 12 J = 59.204 max(relative change in state) = 0.37195E-01
n_iter = 13 J = 59.132 max(relative change in state) = 0.44197E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 413 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 414 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 414 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 154.32 max(relative change in state) = -
n_iter = 2 J = 106.66 max(relative change in state) = 1.9822
n_iter = 3 J = 79.377 max(relative change in state) = 2.3037
n_iter = 4 J = 80.875 max(relative change in state) = 1.1830
n_iter = 5 J = 78.168 max(relative change in state) = 0.76432
n_iter = 6 J = 78.023 max(relative change in state) = 0.13460
n_iter = 7 J = 77.840 max(relative change in state) = 0.24459
n_iter = 8 J = 77.668 max(relative change in state) = 0.78893E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 414 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 415 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 415 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 158.57 max(relative change in state) = -
n_iter = 2 J = 112.47 max(relative change in state) = 2.0235
n_iter = 3 J = 98.724 max(relative change in state) = 1.6241
n_iter = 4 J = 100.08 max(relative change in state) = 1.2128
n_iter = 5 J = 97.859 max(relative change in state) = 0.83825
n_iter = 6 J = 97.699 max(relative change in state) = 0.17709
n_iter = 7 J = 97.206 max(relative change in state) = 0.30747
n_iter = 8 J = 97.240 max(relative change in state) = 0.26916
n_iter = 9 J = 97.059 max(relative change in state) = 0.65419E-01
n_iter = 10 J = 97.032 max(relative change in state) = 0.20352E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 415 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 416 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 416 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 79.258 max(relative change in state) = -
n_iter = 2 J = 68.251 max(relative change in state) = 0.76692
n_iter = 3 J = 62.765 max(relative change in state) = 0.68826
n_iter = 4 J = 63.083 max(relative change in state) = 0.61535
n_iter = 5 J = 61.605 max(relative change in state) = 0.44762
n_iter = 6 J = 61.562 max(relative change in state) = 0.28525E-01
n_iter = 7 J = 61.422 max(relative change in state) = 0.11554
n_iter = 8 J = 61.357 max(relative change in state) = 0.12308
n_iter = 9 J = 61.319 max(relative change in state) = 0.64374E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 416 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 417 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 417 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 31.188 max(relative change in state) = -
n_iter = 2 J = 25.641 max(relative change in state) = 0.46686
n_iter = 3 J = 15.358 max(relative change in state) = 1.6803
n_iter = 4 J = 14.939 max(relative change in state) = 0.28987
n_iter = 5 J = 15.609 max(relative change in state) = 0.41333
n_iter = 6 J = 14.863 max(relative change in state) = 0.29456
n_iter = 7 J = 14.858 max(relative change in state) = 0.86897E-02
n_iter = 8 J = 14.846 max(relative change in state) = 0.48127E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 417 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 418 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 418 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 213.63 max(relative change in state) = -
n_iter = 2 J = 133.24 max(relative change in state) = 5.5271
n_iter = 3 J = 121.81 max(relative change in state) = 1.3579
n_iter = 4 J = 123.00 max(relative change in state) = 1.4338
n_iter = 5 J = 119.32 max(relative change in state) = 0.87171
n_iter = 6 J = 119.09 max(relative change in state) = 0.24344
n_iter = 7 J = 118.93 max(relative change in state) = 0.21113
n_iter = 8 J = 118.68 max(relative change in state) = 0.12158
n_iter = 9 J = 118.36 max(relative change in state) = 0.47923
n_iter = 10 J = 118.15 max(relative change in state) = 0.36884
n_iter = 11 J = 118.09 max(relative change in state) = 0.58067E-01
n_iter = 12 J = 118.05 max(relative change in state) = 0.61298E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 418 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 419 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 419 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.679 max(relative change in state) = -
n_iter = 2 J = 43.056 max(relative change in state) = 0.46274
n_iter = 3 J = 32.496 max(relative change in state) = 1.0509
n_iter = 4 J = 35.194 max(relative change in state) = 1.2524
n_iter = 5 J = 32.237 max(relative change in state) = 0.99296
n_iter = 6 J = 32.165 max(relative change in state) = 0.25743E-01
n_iter = 7 J = 31.792 max(relative change in state) = 0.22328
n_iter = 8 J = 32.049 max(relative change in state) = 0.24634
n_iter = 9 J = 31.749 max(relative change in state) = 0.15844
n_iter = 10 J = 31.740 max(relative change in state) = 0.12032E-01
n_iter = 11 J = 31.710 max(relative change in state) = 0.71802E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 419 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 420 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 420 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 123.61 max(relative change in state) = -
n_iter = 2 J = 101.23 max(relative change in state) = 0.77290
n_iter = 3 J = 54.325 max(relative change in state) = 3.3405
n_iter = 4 J = 53.758 max(relative change in state) = 0.66806
n_iter = 5 J = 52.964 max(relative change in state) = 0.24239
n_iter = 6 J = 52.685 max(relative change in state) = 0.29865
n_iter = 7 J = 52.588 max(relative change in state) = 0.14014
n_iter = 8 J = 52.533 max(relative change in state) = 0.52688E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 420 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 421 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 421 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 421 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 422 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 422 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.643 max(relative change in state) = -
n_iter = 2 J = 57.292 max(relative change in state) = 0.45237
n_iter = 3 J = 37.013 max(relative change in state) = 1.9664
n_iter = 4 J = 41.405 max(relative change in state) = 1.6030
n_iter = 5 J = 36.514 max(relative change in state) = 1.2677
n_iter = 6 J = 36.378 max(relative change in state) = 0.49892E-01
n_iter = 7 J = 35.673 max(relative change in state) = 0.45244
n_iter = 8 J = 35.645 max(relative change in state) = 0.55421
n_iter = 9 J = 35.398 max(relative change in state) = 0.33443
n_iter = 10 J = 35.363 max(relative change in state) = 0.89582E-01
n_iter = 11 J = 35.330 max(relative change in state) = 0.55361E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 422 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 423 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 423 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 67.401 max(relative change in state) = -
n_iter = 2 J = 56.443 max(relative change in state) = 0.58390
n_iter = 3 J = 46.348 max(relative change in state) = 0.93741
n_iter = 4 J = 47.796 max(relative change in state) = 1.0423
n_iter = 5 J = 45.945 max(relative change in state) = 0.75341
n_iter = 6 J = 45.865 max(relative change in state) = 0.67298E-01
n_iter = 7 J = 45.637 max(relative change in state) = 0.25204
n_iter = 8 J = 45.522 max(relative change in state) = 0.86497E-01
n_iter = 9 J = 45.560 max(relative change in state) = 0.15556
n_iter = 10 J = 45.494 max(relative change in state) = 0.63009E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 423 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 424 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 424 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 36.658 max(relative change in state) = -
n_iter = 2 J = 30.199 max(relative change in state) = 0.43234
n_iter = 3 J = 19.963 max(relative change in state) = 1.4208
n_iter = 4 J = 19.646 max(relative change in state) = 0.18502
n_iter = 5 J = 19.422 max(relative change in state) = 0.17833
n_iter = 6 J = 19.402 max(relative change in state) = 0.17394E-01
n_iter = 7 J = 19.363 max(relative change in state) = 0.77087E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 424 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 425 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 425 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 262.40 max(relative change in state) = -
n_iter = 2 J = 226.68 max(relative change in state) = 5.7690
n_iter = 3 J = 170.70 max(relative change in state) = 2.8644
n_iter = 4 J = 168.48 max(relative change in state) = 0.68965
n_iter = 5 J = 166.05 max(relative change in state) = 0.22118
n_iter = 6 J = 165.09 max(relative change in state) = 0.34720
n_iter = 7 J = 164.45 max(relative change in state) = 0.19409
n_iter = 8 J = 163.91 max(relative change in state) = 0.31216
n_iter = 9 J = 163.65 max(relative change in state) = 0.11582
n_iter = 10 J = 163.51 max(relative change in state) = 0.11396
n_iter = 11 J = 163.46 max(relative change in state) = 0.69993E-01
n_iter = 12 J = 163.36 max(relative change in state) = 0.69917E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 425 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 426 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 426 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 145.77 max(relative change in state) = -
n_iter = 2 J = 112.03 max(relative change in state) = 1.3235
n_iter = 3 J = 87.310 max(relative change in state) = 1.8543
n_iter = 4 J = 86.226 max(relative change in state) = 0.36028
n_iter = 5 J = 86.057 max(relative change in state) = 0.31830
n_iter = 6 J = 85.735 max(relative change in state) = 0.86416E-01
n_iter = 7 J = 85.684 max(relative change in state) = 0.29065E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 426 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 427 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 427 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 232.50 max(relative change in state) = -
n_iter = 2 J = 179.37 max(relative change in state) = 7.0897
n_iter = 3 J = 149.15 max(relative change in state) = 2.6784
n_iter = 4 J = 147.76 max(relative change in state) = 0.48497
n_iter = 5 J = 146.49 max(relative change in state) = 0.27570
n_iter = 6 J = 146.18 max(relative change in state) = 0.31904
n_iter = 7 J = 145.94 max(relative change in state) = 0.10304
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 427 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 428 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 428 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 106.17 max(relative change in state) = -
n_iter = 2 J = 88.004 max(relative change in state) = 0.68525
n_iter = 3 J = 64.242 max(relative change in state) = 1.5462
n_iter = 4 J = 64.024 max(relative change in state) = 0.91186
n_iter = 5 J = 63.136 max(relative change in state) = 0.61179
n_iter = 6 J = 63.025 max(relative change in state) = 0.17595
n_iter = 7 J = 62.964 max(relative change in state) = 0.70056E-01
n_iter = 8 J = 62.878 max(relative change in state) = 0.69626E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 428 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 429 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 429 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 309.36 max(relative change in state) = -
n_iter = 2 J = 492.08 max(relative change in state) = 9.7993
n_iter = 3 J = 235.67 max(relative change in state) = 6.7552
n_iter = 4 J = 231.68 max(relative change in state) = 0.34993
n_iter = 5 J = 228.28 max(relative change in state) = 0.71259
n_iter = 6 J = 227.43 max(relative change in state) = 0.16146
n_iter = 7 J = 226.95 max(relative change in state) = 0.58824E-01
n_iter = 8 J = 226.76 max(relative change in state) = 0.40018E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 429 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 430 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 430 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.095 max(relative change in state) = -
n_iter = 2 J = 57.585 max(relative change in state) = 0.69579
n_iter = 3 J = 44.405 max(relative change in state) = 1.3240
n_iter = 4 J = 44.587 max(relative change in state) = 0.64776
n_iter = 5 J = 43.333 max(relative change in state) = 0.39680
n_iter = 6 J = 43.249 max(relative change in state) = 0.13966
n_iter = 7 J = 43.212 max(relative change in state) = 0.73411E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 430 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 431 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 431 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.560 max(relative change in state) = -
n_iter = 2 J = 42.755 max(relative change in state) = 0.49965
n_iter = 3 J = 29.579 max(relative change in state) = 1.4649
n_iter = 4 J = 28.109 max(relative change in state) = 0.54868
n_iter = 5 J = 29.847 max(relative change in state) = 1.2493
n_iter = 6 J = 27.998 max(relative change in state) = 1.0161
n_iter = 7 J = 27.975 max(relative change in state) = 0.19271E-01
n_iter = 8 J = 27.874 max(relative change in state) = 0.11653
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 431 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 432 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 432 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 72.506 max(relative change in state) = -
n_iter = 2 J = 60.797 max(relative change in state) = 0.66422
n_iter = 3 J = 49.221 max(relative change in state) = 1.3423
n_iter = 4 J = 47.500 max(relative change in state) = 0.56947
n_iter = 5 J = 50.349 max(relative change in state) = 1.0034
n_iter = 6 J = 47.286 max(relative change in state) = 0.76422
n_iter = 7 J = 47.258 max(relative change in state) = 0.12129E-01
n_iter = 8 J = 47.100 max(relative change in state) = 0.19308
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 432 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 433 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 433 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.003 max(relative change in state) = -
n_iter = 2 J = 57.619 max(relative change in state) = 0.54610
n_iter = 3 J = 40.549 max(relative change in state) = 1.5580
n_iter = 4 J = 38.372 max(relative change in state) = 0.50174
n_iter = 5 J = 43.894 max(relative change in state) = 1.1383
n_iter = 6 J = 38.179 max(relative change in state) = 0.95509
n_iter = 7 J = 38.144 max(relative change in state) = 0.12904E-01
n_iter = 8 J = 38.029 max(relative change in state) = 0.22381
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 433 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 434 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 434 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 94.670 max(relative change in state) = -
n_iter = 2 J = 78.197 max(relative change in state) = 0.56263
n_iter = 3 J = 52.764 max(relative change in state) = 1.6858
n_iter = 4 J = 50.850 max(relative change in state) = 0.32045
n_iter = 5 J = 52.481 max(relative change in state) = 0.67172
n_iter = 6 J = 50.297 max(relative change in state) = 0.42662
n_iter = 7 J = 50.230 max(relative change in state) = 0.15614E-01
n_iter = 8 J = 49.845 max(relative change in state) = 0.20970
n_iter = 9 J = 49.854 max(relative change in state) = 0.27330
n_iter = 10 J = 49.787 max(relative change in state) = 0.18863
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 434 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 435 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 435 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 83.900 max(relative change in state) = -
n_iter = 2 J = 68.966 max(relative change in state) = 0.47837
n_iter = 3 J = 42.025 max(relative change in state) = 2.3744
n_iter = 4 J = 41.025 max(relative change in state) = 0.32344
n_iter = 5 J = 41.251 max(relative change in state) = 0.62177
n_iter = 6 J = 40.763 max(relative change in state) = 0.45286
n_iter = 7 J = 40.678 max(relative change in state) = 0.13521
n_iter = 8 J = 40.511 max(relative change in state) = 0.12974
n_iter = 9 J = 40.569 max(relative change in state) = 0.20402
n_iter = 10 J = 40.412 max(relative change in state) = 0.14099
n_iter = 11 J = 40.415 max(relative change in state) = 0.94410E-01
n_iter = 12 J = 40.336 max(relative change in state) = 0.43559E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 435 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 436 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 436 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 77.341 max(relative change in state) = -
n_iter = 2 J = 64.161 max(relative change in state) = 0.65715
n_iter = 3 J = 44.746 max(relative change in state) = 1.7185
n_iter = 4 J = 44.236 max(relative change in state) = 0.65230
n_iter = 5 J = 43.420 max(relative change in state) = 0.32259
n_iter = 6 J = 43.279 max(relative change in state) = 0.19651
n_iter = 7 J = 43.200 max(relative change in state) = 0.17450
n_iter = 8 J = 43.134 max(relative change in state) = 0.40658E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 436 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 437 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 437 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 68.305 max(relative change in state) = -
n_iter = 2 J = 55.981 max(relative change in state) = 0.40398
n_iter = 3 J = 29.092 max(relative change in state) = 1.8331
n_iter = 4 J = 28.489 max(relative change in state) = 0.38264
n_iter = 5 J = 28.150 max(relative change in state) = 0.27620
n_iter = 6 J = 28.069 max(relative change in state) = 0.33731E-01
n_iter = 7 J = 28.034 max(relative change in state) = 0.40621E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 437 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 438 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 438 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.179 max(relative change in state) = -
n_iter = 2 J = 54.616 max(relative change in state) = 0.45188
n_iter = 3 J = 34.810 max(relative change in state) = 1.6709
n_iter = 4 J = 34.525 max(relative change in state) = 0.91888
n_iter = 5 J = 32.690 max(relative change in state) = 0.44197
n_iter = 6 J = 32.227 max(relative change in state) = 0.33313
n_iter = 7 J = 31.820 max(relative change in state) = 0.21167
n_iter = 8 J = 31.645 max(relative change in state) = 0.14350
n_iter = 9 J = 31.285 max(relative change in state) = 0.16482
n_iter = 10 J = 31.138 max(relative change in state) = 0.18453
n_iter = 11 J = 30.979 max(relative change in state) = 0.58142E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 438 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 439 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 439 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 78.805 max(relative change in state) = -
n_iter = 2 J = 65.319 max(relative change in state) = 0.53467
n_iter = 3 J = 43.639 max(relative change in state) = 2.3829
n_iter = 4 J = 42.077 max(relative change in state) = 0.55060
n_iter = 5 J = 42.955 max(relative change in state) = 0.64994
n_iter = 6 J = 41.636 max(relative change in state) = 0.36840
n_iter = 7 J = 41.580 max(relative change in state) = 0.21640E-01
n_iter = 8 J = 41.455 max(relative change in state) = 0.98465E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 439 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 440 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 440 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 76.894 max(relative change in state) = -
n_iter = 2 J = 64.287 max(relative change in state) = 0.49849
n_iter = 3 J = 41.977 max(relative change in state) = 1.5335
n_iter = 4 J = 40.970 max(relative change in state) = 0.68909
n_iter = 5 J = 40.069 max(relative change in state) = 0.42386
n_iter = 6 J = 39.820 max(relative change in state) = 0.12194
n_iter = 7 J = 39.632 max(relative change in state) = 0.27529
n_iter = 8 J = 39.424 max(relative change in state) = 0.10298
n_iter = 9 J = 39.338 max(relative change in state) = 0.93858E-01
n_iter = 10 J = 39.344 max(relative change in state) = 0.20169
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 440 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 441 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 441 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 70.318 max(relative change in state) = -
n_iter = 2 J = 58.052 max(relative change in state) = 0.55874
n_iter = 3 J = 37.462 max(relative change in state) = 1.9256
n_iter = 4 J = 36.622 max(relative change in state) = 0.57623
n_iter = 5 J = 35.626 max(relative change in state) = 0.19622
n_iter = 6 J = 35.315 max(relative change in state) = 0.25304
n_iter = 7 J = 35.185 max(relative change in state) = 0.93736E-01
n_iter = 8 J = 35.070 max(relative change in state) = 0.58936E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 441 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 442 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 442 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 219.93 max(relative change in state) = -
n_iter = 2 J = 106.39 max(relative change in state) = 3.9399
n_iter = 3 J = 96.346 max(relative change in state) = 0.75624
n_iter = 4 J = 96.683 max(relative change in state) = 1.3486
n_iter = 5 J = 93.337 max(relative change in state) = 0.77526
n_iter = 6 J = 93.000 max(relative change in state) = 0.30793
n_iter = 7 J = 92.717 max(relative change in state) = 0.23612
n_iter = 8 J = 92.466 max(relative change in state) = 0.12074
n_iter = 9 J = 92.114 max(relative change in state) = 0.34722
n_iter = 10 J = 91.924 max(relative change in state) = 0.47363E-01
n_iter = 11 J = 91.647 max(relative change in state) = 0.11484
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 442 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 443 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 443 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 176.57 max(relative change in state) = -
n_iter = 2 J = 101.20 max(relative change in state) = 2.3136
n_iter = 3 J = 77.886 max(relative change in state) = 1.7331
n_iter = 4 J = 76.361 max(relative change in state) = 0.37327
n_iter = 5 J = 77.055 max(relative change in state) = 1.1744
n_iter = 6 J = 76.011 max(relative change in state) = 0.77825
n_iter = 7 J = 75.950 max(relative change in state) = 0.77731E-01
n_iter = 8 J = 75.848 max(relative change in state) = 0.15641
n_iter = 9 J = 75.766 max(relative change in state) = 0.99715E-01
n_iter = 10 J = 75.739 max(relative change in state) = 0.26578E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 443 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 444 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 444 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 110.66 max(relative change in state) = -
n_iter = 2 J = 91.215 max(relative change in state) = 0.50870
n_iter = 3 J = 48.111 max(relative change in state) = 1.8492
n_iter = 4 J = 45.733 max(relative change in state) = 0.34746
n_iter = 5 J = 47.254 max(relative change in state) = 1.1426
n_iter = 6 J = 45.142 max(relative change in state) = 0.81662
n_iter = 7 J = 45.036 max(relative change in state) = 0.10540
n_iter = 8 J = 44.909 max(relative change in state) = 0.26722
n_iter = 9 J = 44.785 max(relative change in state) = 0.47800E-01
n_iter = 10 J = 44.861 max(relative change in state) = 0.18219
n_iter = 11 J = 44.660 max(relative change in state) = 0.48262E-01
n_iter = 12 J = 44.597 max(relative change in state) = 0.41163E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 444 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 445 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 445 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 49.589 max(relative change in state) = -
n_iter = 2 J = 41.231 max(relative change in state) = 0.55437
n_iter = 3 J = 30.853 max(relative change in state) = 1.2877
n_iter = 4 J = 30.646 max(relative change in state) = 0.71931
n_iter = 5 J = 29.516 max(relative change in state) = 0.37951
n_iter = 6 J = 29.408 max(relative change in state) = 0.18941
n_iter = 7 J = 29.365 max(relative change in state) = 0.94436E-01
n_iter = 8 J = 29.280 max(relative change in state) = 0.69067E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 445 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 446 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 446 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 84.219 max(relative change in state) = -
n_iter = 2 J = 69.304 max(relative change in state) = 0.64822
n_iter = 3 J = 41.685 max(relative change in state) = 2.4078
n_iter = 4 J = 42.702 max(relative change in state) = 1.1252
n_iter = 5 J = 40.817 max(relative change in state) = 0.69631
n_iter = 6 J = 40.634 max(relative change in state) = 0.14021
n_iter = 7 J = 40.415 max(relative change in state) = 0.30525
n_iter = 8 J = 40.280 max(relative change in state) = 0.14661
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 446 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 447 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 447 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 111.40 max(relative change in state) = -
n_iter = 2 J = 91.682 max(relative change in state) = 0.62003
n_iter = 3 J = 58.627 max(relative change in state) = 2.1184
n_iter = 4 J = 56.768 max(relative change in state) = 0.51379
n_iter = 5 J = 61.596 max(relative change in state) = 0.57928
n_iter = 6 J = 56.102 max(relative change in state) = 0.44116
n_iter = 7 J = 55.716 max(relative change in state) = 0.84918E-01
n_iter = 8 J = 55.743 max(relative change in state) = 0.38045
n_iter = 9 J = 55.303 max(relative change in state) = 0.24476
n_iter = 10 J = 54.388 max(relative change in state) = 0.35768
n_iter = 11 J = 54.090 max(relative change in state) = 0.35080
n_iter = 12 J = 53.914 max(relative change in state) = 0.10316
n_iter = 13 J = 53.617 max(relative change in state) = 0.31500
n_iter = 14 J = 53.606 max(relative change in state) = 0.44744
n_iter = 15 J = 53.384 max(relative change in state) = 0.24782
n_iter = 16 J = 53.315 max(relative change in state) = 0.12228
n_iter = 17 J = 53.269 max(relative change in state) = 0.13947
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 17.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 447 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 448 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 448 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 39.996 max(relative change in state) = -
n_iter = 2 J = 32.997 max(relative change in state) = 0.38834
n_iter = 3 J = 22.238 max(relative change in state) = 1.0556
n_iter = 4 J = 23.289 max(relative change in state) = 0.80393
n_iter = 5 J = 21.959 max(relative change in state) = 0.57729
n_iter = 6 J = 21.898 max(relative change in state) = 0.42572E-01
n_iter = 7 J = 21.696 max(relative change in state) = 0.18496
n_iter = 8 J = 21.639 max(relative change in state) = 0.11400
n_iter = 9 J = 21.617 max(relative change in state) = 0.29867E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 448 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 449 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 449 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 9 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 198.51 max(relative change in state) = -
n_iter = 2 J = 144.22 max(relative change in state) = 3.6365
n_iter = 3 J = 133.81 max(relative change in state) = 1.3538
n_iter = 4 J = 133.04 max(relative change in state) = 0.53014
n_iter = 5 J = 132.40 max(relative change in state) = 0.20355
n_iter = 6 J = 132.28 max(relative change in state) = 0.17834
n_iter = 7 J = 132.18 max(relative change in state) = 0.96602E-01
n_iter = 8 J = 132.06 max(relative change in state) = 0.87141E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 449 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 450 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 450 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 97.847 max(relative change in state) = -
n_iter = 2 J = 80.590 max(relative change in state) = 0.75301
n_iter = 3 J = 53.420 max(relative change in state) = 2.8167
n_iter = 4 J = 53.628 max(relative change in state) = 0.70390
n_iter = 5 J = 52.774 max(relative change in state) = 0.66607
n_iter = 6 J = 52.682 max(relative change in state) = 0.67409E-01
n_iter = 7 J = 52.644 max(relative change in state) = 0.49155E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 450 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 451 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 451 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 260.91 max(relative change in state) = -
n_iter = 2 J = 149.64 max(relative change in state) = 5.7687
n_iter = 3 J = 136.92 max(relative change in state) = 1.4960
n_iter = 4 J = 135.01 max(relative change in state) = 0.31910
n_iter = 5 J = 136.09 max(relative change in state) = 1.0223
n_iter = 6 J = 134.04 max(relative change in state) = 0.68106
n_iter = 7 J = 133.95 max(relative change in state) = 0.12889
n_iter = 8 J = 133.86 max(relative change in state) = 0.17312
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 451 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 452 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 452 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 452 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 453 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 453 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 368.32 max(relative change in state) = -
n_iter = 2 J = 201.98 max(relative change in state) = 8.8013
n_iter = 3 J = 163.58 max(relative change in state) = 2.3275
n_iter = 4 J = 160.19 max(relative change in state) = 0.46029
n_iter = 5 J = 158.37 max(relative change in state) = 0.41255
n_iter = 6 J = 157.82 max(relative change in state) = 0.23087
n_iter = 7 J = 157.36 max(relative change in state) = 0.21775
n_iter = 8 J = 157.41 max(relative change in state) = 0.66665
n_iter = 9 J = 157.07 max(relative change in state) = 0.41825
n_iter = 10 J = 157.02 max(relative change in state) = 0.10330
n_iter = 11 J = 156.93 max(relative change in state) = 0.10935
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 453 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 454 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 454 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 243.99 max(relative change in state) = -
n_iter = 2 J = 158.59 max(relative change in state) = 5.0203
n_iter = 3 J = 134.36 max(relative change in state) = 2.1462
n_iter = 4 J = 132.45 max(relative change in state) = 0.30780
n_iter = 5 J = 135.73 max(relative change in state) = 1.1408
n_iter = 6 J = 131.70 max(relative change in state) = 0.87633
n_iter = 7 J = 131.51 max(relative change in state) = 0.73999E-01
n_iter = 8 J = 131.32 max(relative change in state) = 0.34296
n_iter = 9 J = 131.06 max(relative change in state) = 0.12651
n_iter = 10 J = 131.03 max(relative change in state) = 0.25950
n_iter = 11 J = 130.85 max(relative change in state) = 0.10511
n_iter = 12 J = 130.89 max(relative change in state) = 0.14830
n_iter = 13 J = 130.73 max(relative change in state) = 0.91845E-01
n_iter = 14 J = 130.54 max(relative change in state) = 0.99613E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 454 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 455 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 455 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 455 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 456 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 456 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 59.307 max(relative change in state) = -
n_iter = 2 J = 49.228 max(relative change in state) = 0.62403
n_iter = 3 J = 37.807 max(relative change in state) = 1.7557
n_iter = 4 J = 39.866 max(relative change in state) = 1.1686
n_iter = 5 J = 37.498 max(relative change in state) = 0.88454
n_iter = 6 J = 37.430 max(relative change in state) = 0.40143E-01
n_iter = 7 J = 37.120 max(relative change in state) = 0.17187
n_iter = 8 J = 37.096 max(relative change in state) = 0.27471
n_iter = 9 J = 37.024 max(relative change in state) = 0.17981
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 456 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 457 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 457 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 52.730 max(relative change in state) = -
n_iter = 2 J = 44.070 max(relative change in state) = 0.48861
n_iter = 3 J = 33.128 max(relative change in state) = 1.1882
n_iter = 4 J = 32.300 max(relative change in state) = 0.39525
n_iter = 5 J = 33.402 max(relative change in state) = 0.56162
n_iter = 6 J = 32.147 max(relative change in state) = 0.32684
n_iter = 7 J = 32.072 max(relative change in state) = 0.64566E-01
n_iter = 8 J = 32.025 max(relative change in state) = 0.93617E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 457 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 458 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 458 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 113.07 max(relative change in state) = -
n_iter = 2 J = 94.199 max(relative change in state) = 0.67108
n_iter = 3 J = 74.965 max(relative change in state) = 1.4982
n_iter = 4 J = 75.229 max(relative change in state) = 0.36863
n_iter = 5 J = 73.720 max(relative change in state) = 0.20449
n_iter = 6 J = 73.616 max(relative change in state) = 0.71608E-01
n_iter = 7 J = 73.578 max(relative change in state) = 0.25592E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 458 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 459 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 459 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.674 max(relative change in state) = -
n_iter = 2 J = 54.987 max(relative change in state) = 0.42600
n_iter = 3 J = 36.090 max(relative change in state) = 1.4446
n_iter = 4 J = 35.409 max(relative change in state) = 0.42444
n_iter = 5 J = 35.476 max(relative change in state) = 0.54702
n_iter = 6 J = 35.132 max(relative change in state) = 0.19770
n_iter = 7 J = 35.116 max(relative change in state) = 0.10070E-01
n_iter = 8 J = 35.049 max(relative change in state) = 0.90519E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 459 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 460 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 460 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 111.93 max(relative change in state) = -
n_iter = 2 J = 93.126 max(relative change in state) = 0.72006
n_iter = 3 J = 73.527 max(relative change in state) = 1.3791
n_iter = 4 J = 72.440 max(relative change in state) = 0.30865
n_iter = 5 J = 73.624 max(relative change in state) = 0.96834
n_iter = 6 J = 72.072 max(relative change in state) = 0.67247
n_iter = 7 J = 72.036 max(relative change in state) = 0.61547E-01
n_iter = 8 J = 71.938 max(relative change in state) = 0.15109
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 460 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 461 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 461 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 19.240 max(relative change in state) = -
n_iter = 2 J = 16.022 max(relative change in state) = 0.36987
n_iter = 3 J = 12.471 max(relative change in state) = 0.77058
n_iter = 4 J = 12.103 max(relative change in state) = 0.20136
n_iter = 5 J = 12.489 max(relative change in state) = 0.69642
n_iter = 6 J = 12.017 max(relative change in state) = 0.52919
n_iter = 7 J = 12.009 max(relative change in state) = 0.31238E-01
n_iter = 8 J = 11.997 max(relative change in state) = 0.51377E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 461 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 462 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 462 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 61.090 max(relative change in state) = -
n_iter = 2 J = 50.782 max(relative change in state) = 0.79298
n_iter = 3 J = 39.602 max(relative change in state) = 1.6346
n_iter = 4 J = 42.644 max(relative change in state) = 1.2133
n_iter = 5 J = 39.340 max(relative change in state) = 0.96079
n_iter = 6 J = 39.273 max(relative change in state) = 0.15964E-01
n_iter = 7 J = 38.913 max(relative change in state) = 0.19328
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 462 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 463 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 463 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 74.245 max(relative change in state) = -
n_iter = 2 J = 61.178 max(relative change in state) = 0.64472
n_iter = 3 J = 40.388 max(relative change in state) = 2.0349
n_iter = 4 J = 43.754 max(relative change in state) = 1.3143
n_iter = 5 J = 40.085 max(relative change in state) = 1.0557
n_iter = 6 J = 40.010 max(relative change in state) = 0.28617E-01
n_iter = 7 J = 39.721 max(relative change in state) = 0.24610
n_iter = 8 J = 39.865 max(relative change in state) = 0.12708
n_iter = 9 J = 39.666 max(relative change in state) = 0.59960E-01
n_iter = 10 J = 39.657 max(relative change in state) = 0.10578E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 463 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 464 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 464 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 464 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 465 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 465 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 465 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 466 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 466 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 39.444 max(relative change in state) = -
n_iter = 2 J = 33.122 max(relative change in state) = 0.44541
n_iter = 3 J = 27.656 max(relative change in state) = 0.67675
n_iter = 4 J = 27.101 max(relative change in state) = 0.18321
n_iter = 5 J = 28.431 max(relative change in state) = 0.18707
n_iter = 6 J = 27.036 max(relative change in state) = 0.15934
n_iter = 7 J = 27.028 max(relative change in state) = 0.59395E-02
n_iter = 8 J = 27.000 max(relative change in state) = 0.84736E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 466 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 467 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 467 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 138.56 max(relative change in state) = -
n_iter = 2 J = 114.23 max(relative change in state) = 1.1799
n_iter = 3 J = 93.125 max(relative change in state) = 1.7241
n_iter = 4 J = 91.986 max(relative change in state) = 0.30324
n_iter = 5 J = 90.908 max(relative change in state) = 0.17301
n_iter = 6 J = 90.842 max(relative change in state) = 0.72993E-01
n_iter = 7 J = 90.762 max(relative change in state) = 0.13244
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 467 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 468 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 468 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 106.02 max(relative change in state) = -
n_iter = 2 J = 87.482 max(relative change in state) = 0.68158
n_iter = 3 J = 57.864 max(relative change in state) = 2.1753
n_iter = 4 J = 58.526 max(relative change in state) = 0.86174
n_iter = 5 J = 56.777 max(relative change in state) = 0.49595
n_iter = 6 J = 56.604 max(relative change in state) = 0.17950
n_iter = 7 J = 56.482 max(relative change in state) = 0.12868
n_iter = 8 J = 56.274 max(relative change in state) = 0.20436
n_iter = 9 J = 55.907 max(relative change in state) = 0.28239
n_iter = 10 J = 55.896 max(relative change in state) = 0.14482
n_iter = 11 J = 55.772 max(relative change in state) = 0.35097E-01
n_iter = 12 J = 55.748 max(relative change in state) = 0.31482E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 468 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 469 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 469 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 166.90 max(relative change in state) = -
n_iter = 2 J = 104.15 max(relative change in state) = 2.1966
n_iter = 3 J = 81.674 max(relative change in state) = 2.0864
n_iter = 4 J = 81.026 max(relative change in state) = 0.38441
n_iter = 5 J = 80.413 max(relative change in state) = 0.30975
n_iter = 6 J = 80.329 max(relative change in state) = 0.31598E-01
n_iter = 7 J = 80.224 max(relative change in state) = 0.80229E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 469 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 470 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 470 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 86.058 max(relative change in state) = -
n_iter = 2 J = 71.936 max(relative change in state) = 0.61851
n_iter = 3 J = 53.248 max(relative change in state) = 1.7983
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 470 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 471 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 471 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 151.95 max(relative change in state) = -
n_iter = 2 J = 104.10 max(relative change in state) = 1.2598
n_iter = 3 J = 55.002 max(relative change in state) = 2.7515
n_iter = 4 J = 52.844 max(relative change in state) = 0.27397
n_iter = 5 J = 57.079 max(relative change in state) = 1.3580
n_iter = 6 J = 52.079 max(relative change in state) = 1.0075
n_iter = 7 J = 51.973 max(relative change in state) = 0.57105E-01
n_iter = 8 J = 51.670 max(relative change in state) = 0.20601
n_iter = 9 J = 51.630 max(relative change in state) = 0.25793
n_iter = 10 J = 51.577 max(relative change in state) = 0.10385
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 471 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 472 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 472 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 71.179 max(relative change in state) = -
n_iter = 2 J = 59.557 max(relative change in state) = 0.64017
n_iter = 3 J = 48.081 max(relative change in state) = 1.1440
n_iter = 4 J = 47.544 max(relative change in state) = 0.44271
n_iter = 5 J = 46.672 max(relative change in state) = 0.26158
n_iter = 6 J = 46.532 max(relative change in state) = 0.11847
n_iter = 7 J = 46.508 max(relative change in state) = 0.18609
n_iter = 8 J = 46.339 max(relative change in state) = 0.21561
n_iter = 9 J = 46.266 max(relative change in state) = 0.65842E-01
n_iter = 10 J = 46.150 max(relative change in state) = 0.71181E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 472 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 473 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 473 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 132.73 max(relative change in state) = -
n_iter = 2 J = 115.45 max(relative change in state) = 0.89995
n_iter = 3 J = 107.85 max(relative change in state) = 0.95546
n_iter = 4 J = 112.26 max(relative change in state) = 1.5920
n_iter = 5 J = 107.28 max(relative change in state) = 1.2537
n_iter = 6 J = 107.11 max(relative change in state) = 0.57403E-01
n_iter = 7 J = 106.67 max(relative change in state) = 0.30675
n_iter = 8 J = 106.43 max(relative change in state) = 0.35850
n_iter = 9 J = 106.26 max(relative change in state) = 0.87324E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 473 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 474 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 474 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.487 max(relative change in state) = -
n_iter = 2 J = 42.541 max(relative change in state) = 0.44674
n_iter = 3 J = 29.019 max(relative change in state) = 1.4592
n_iter = 4 J = 29.526 max(relative change in state) = 0.86672
n_iter = 5 J = 28.292 max(relative change in state) = 0.51693
n_iter = 6 J = 28.187 max(relative change in state) = 0.12383
n_iter = 7 J = 28.072 max(relative change in state) = 0.18711
n_iter = 8 J = 27.950 max(relative change in state) = 0.69396E-01
n_iter = 9 J = 27.970 max(relative change in state) = 0.55072
n_iter = 10 J = 27.732 max(relative change in state) = 0.36485
n_iter = 11 J = 27.714 max(relative change in state) = 0.52812E-01
n_iter = 12 J = 27.705 max(relative change in state) = 0.10954E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 474 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 475 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 475 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 224.52 max(relative change in state) = -
n_iter = 2 J = 132.19 max(relative change in state) = 4.8266
n_iter = 3 J = 117.12 max(relative change in state) = 1.4335
n_iter = 4 J = 115.53 max(relative change in state) = 0.44504
n_iter = 5 J = 114.62 max(relative change in state) = 0.35057
n_iter = 6 J = 114.46 max(relative change in state) = 0.54360E-01
n_iter = 7 J = 114.36 max(relative change in state) = 0.57142E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 475 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 476 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 476 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 91.647 max(relative change in state) = -
n_iter = 2 J = 75.415 max(relative change in state) = 0.52515
n_iter = 3 J = 39.594 max(relative change in state) = 1.9576
n_iter = 4 J = 42.341 max(relative change in state) = 1.5343
n_iter = 5 J = 38.881 max(relative change in state) = 1.1154
n_iter = 6 J = 38.671 max(relative change in state) = 0.92228E-01
n_iter = 7 J = 38.076 max(relative change in state) = 0.42979
n_iter = 8 J = 37.786 max(relative change in state) = 0.28980
n_iter = 9 J = 37.765 max(relative change in state) = 0.45048E-01
n_iter = 10 J = 37.686 max(relative change in state) = 0.29429E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 476 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 477 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 477 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 16.957 max(relative change in state) = -
n_iter = 2 J = 14.061 max(relative change in state) = 0.25151
n_iter = 3 J = 10.108 max(relative change in state) = 0.68242
n_iter = 4 J = 9.6399 max(relative change in state) = 0.14429
n_iter = 5 J = 9.7316 max(relative change in state) = 0.28444
n_iter = 6 J = 9.4549 max(relative change in state) = 0.15240
n_iter = 7 J = 9.4407 max(relative change in state) = 0.78720E-01
n_iter = 8 J = 9.4367 max(relative change in state) = 0.30141E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 477 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 478 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 478 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 116.47 max(relative change in state) = -
n_iter = 2 J = 99.715 max(relative change in state) = 0.71882
n_iter = 3 J = 61.803 max(relative change in state) = 3.9031
n_iter = 4 J = 81.701 max(relative change in state) = 3.8292
n_iter = 5 J = 61.051 max(relative change in state) = 3.2483
n_iter = 6 J = 60.901 max(relative change in state) = 0.33152E-01
n_iter = 7 J = 60.563 max(relative change in state) = 0.27282
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 478 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 479 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 479 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 177.75 max(relative change in state) = -
n_iter = 2 J = 100.44 max(relative change in state) = 2.2404
n_iter = 3 J = 76.776 max(relative change in state) = 2.5583
n_iter = 4 J = 87.838 max(relative change in state) = 2.7094
n_iter = 5 J = 75.806 max(relative change in state) = 2.1465
n_iter = 6 J = 75.633 max(relative change in state) = 0.53297E-01
n_iter = 7 J = 75.212 max(relative change in state) = 0.24811
n_iter = 8 J = 75.132 max(relative change in state) = 0.85772E-01
n_iter = 9 J = 75.054 max(relative change in state) = 0.85172E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 479 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 480 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 480 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 81.317 max(relative change in state) = -
n_iter = 2 J = 66.937 max(relative change in state) = 0.45524
n_iter = 3 J = 40.477 max(relative change in state) = 1.8151
n_iter = 4 J = 39.044 max(relative change in state) = 0.41033
n_iter = 5 J = 40.545 max(relative change in state) = 0.65953
n_iter = 6 J = 38.750 max(relative change in state) = 0.44405
n_iter = 7 J = 38.711 max(relative change in state) = 0.12227E-01
n_iter = 8 J = 38.510 max(relative change in state) = 0.17663
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 480 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 481 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 481 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 87.193 max(relative change in state) = -
n_iter = 2 J = 72.012 max(relative change in state) = 0.54389
n_iter = 3 J = 49.357 max(relative change in state) = 1.6589
n_iter = 4 J = 48.643 max(relative change in state) = 0.39325
n_iter = 5 J = 48.533 max(relative change in state) = 0.38894
n_iter = 6 J = 48.269 max(relative change in state) = 0.53447E-01
n_iter = 7 J = 48.232 max(relative change in state) = 0.17889E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 481 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 482 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 482 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 69.358 max(relative change in state) = -
n_iter = 2 J = 57.402 max(relative change in state) = 0.50643
n_iter = 3 J = 38.757 max(relative change in state) = 1.8915
n_iter = 4 J = 37.819 max(relative change in state) = 0.39480
n_iter = 5 J = 38.402 max(relative change in state) = 0.57859
n_iter = 6 J = 37.558 max(relative change in state) = 0.32454
n_iter = 7 J = 37.534 max(relative change in state) = 0.16401E-01
n_iter = 8 J = 37.444 max(relative change in state) = 0.13508
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 482 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 483 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 483 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 72.715 max(relative change in state) = -
n_iter = 2 J = 59.774 max(relative change in state) = 0.47401
n_iter = 3 J = 32.916 max(relative change in state) = 1.5428
n_iter = 4 J = 31.661 max(relative change in state) = 0.35216
n_iter = 5 J = 32.359 max(relative change in state) = 0.59610
n_iter = 6 J = 31.305 max(relative change in state) = 0.32763
n_iter = 7 J = 31.268 max(relative change in state) = 0.14003E-01
n_iter = 8 J = 31.092 max(relative change in state) = 0.18842
n_iter = 9 J = 31.069 max(relative change in state) = 0.24981
n_iter = 10 J = 30.997 max(relative change in state) = 0.10690
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 483 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 484 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 484 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 53.918 max(relative change in state) = -
n_iter = 2 J = 45.631 max(relative change in state) = 0.65232
n_iter = 3 J = 38.840 max(relative change in state) = 0.82522
n_iter = 4 J = 42.695 max(relative change in state) = 1.6197
n_iter = 5 J = 38.233 max(relative change in state) = 1.2491
n_iter = 6 J = 38.098 max(relative change in state) = 0.73600E-01
n_iter = 7 J = 37.710 max(relative change in state) = 0.27547
n_iter = 8 J = 37.618 max(relative change in state) = 0.27359
n_iter = 9 J = 37.554 max(relative change in state) = 0.90950E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 484 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 485 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 485 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 94.375 max(relative change in state) = -
n_iter = 2 J = 76.934 max(relative change in state) = 0.57594
n_iter = 3 J = 28.231 max(relative change in state) = 3.4200
n_iter = 4 J = 27.743 max(relative change in state) = 0.56298
n_iter = 5 J = 26.998 max(relative change in state) = 0.20947
n_iter = 6 J = 26.776 max(relative change in state) = 0.21983
n_iter = 7 J = 26.663 max(relative change in state) = 0.11786
n_iter = 8 J = 26.553 max(relative change in state) = 0.13581
n_iter = 9 J = 26.475 max(relative change in state) = 0.24731E-01
n_iter = 10 J = 26.451 max(relative change in state) = 0.16578E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 485 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 486 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 486 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 477.53 max(relative change in state) = -
n_iter = 2 J = 774.17 max(relative change in state) = 12.961
n_iter = 3 J = 317.96 max(relative change in state) = 7.8793
n_iter = 4 J = 317.29 max(relative change in state) = 1.4902
n_iter = 5 J = 313.43 max(relative change in state) = 0.65468
n_iter = 6 J = 312.63 max(relative change in state) = 0.49253
n_iter = 7 J = 312.28 max(relative change in state) = 0.21284
n_iter = 8 J = 311.06 max(relative change in state) = 0.29908
n_iter = 9 J = 309.96 max(relative change in state) = 0.38751
n_iter = 10 J = 310.00 max(relative change in state) = 0.29193
n_iter = 11 J = 309.75 max(relative change in state) = 0.19614
n_iter = 12 J = 309.71 max(relative change in state) = 0.46955E-01
n_iter = 13 J = 309.64 max(relative change in state) = 0.84675E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 486 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 487 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 487 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 83.551 max(relative change in state) = -
n_iter = 2 J = 68.633 max(relative change in state) = 0.56274
n_iter = 3 J = 38.236 max(relative change in state) = 2.6046
n_iter = 4 J = 40.749 max(relative change in state) = 1.4102
n_iter = 5 J = 37.758 max(relative change in state) = 1.0404
n_iter = 6 J = 37.658 max(relative change in state) = 0.57041E-01
n_iter = 7 J = 37.288 max(relative change in state) = 0.24221
n_iter = 8 J = 37.236 max(relative change in state) = 0.30646
n_iter = 9 J = 37.176 max(relative change in state) = 0.14940
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 487 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 488 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 488 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.173 max(relative change in state) = -
n_iter = 2 J = 54.362 max(relative change in state) = 0.39619
n_iter = 3 J = 27.309 max(relative change in state) = 1.7805
n_iter = 4 J = 26.864 max(relative change in state) = 0.14867
n_iter = 5 J = 26.974 max(relative change in state) = 0.17205
n_iter = 6 J = 26.664 max(relative change in state) = 0.11887
n_iter = 7 J = 26.623 max(relative change in state) = 0.22510E-01
n_iter = 8 J = 26.633 max(relative change in state) = 0.12783
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 488 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 489 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 489 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 171.34 max(relative change in state) = -
n_iter = 2 J = 124.89 max(relative change in state) = 2.9190
n_iter = 3 J = 114.03 max(relative change in state) = 0.58613
n_iter = 4 J = 123.48 max(relative change in state) = 2.5391
n_iter = 5 J = 110.42 max(relative change in state) = 1.8463
n_iter = 6 J = 109.93 max(relative change in state) = 0.22703
n_iter = 7 J = 109.26 max(relative change in state) = 0.54594
n_iter = 8 J = 108.83 max(relative change in state) = 0.95619E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 489 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 490 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 490 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 490 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 491 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 491 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 128.60 max(relative change in state) = -
n_iter = 2 J = 106.23 max(relative change in state) = 0.81043
n_iter = 3 J = 70.980 max(relative change in state) = 2.5641
n_iter = 4 J = 68.789 max(relative change in state) = 0.45505
n_iter = 5 J = 68.917 max(relative change in state) = 0.61099
n_iter = 6 J = 67.819 max(relative change in state) = 0.21083
n_iter = 7 J = 67.748 max(relative change in state) = 0.20384E-01
n_iter = 8 J = 67.530 max(relative change in state) = 0.20972
n_iter = 9 J = 67.432 max(relative change in state) = 0.11799
n_iter = 10 J = 67.292 max(relative change in state) = 0.51781E-01
n_iter = 11 J = 67.236 max(relative change in state) = 0.66408E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 491 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 492 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 492 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 307.72 max(relative change in state) = -
n_iter = 2 J = 135.51 max(relative change in state) = 6.5829
n_iter = 3 J = 124.89 max(relative change in state) = 1.3403
n_iter = 4 J = 122.68 max(relative change in state) = 0.39402
n_iter = 5 J = 124.00 max(relative change in state) = 1.2583
n_iter = 6 J = 121.67 max(relative change in state) = 0.74997
n_iter = 7 J = 121.55 max(relative change in state) = 0.11619
n_iter = 8 J = 121.32 max(relative change in state) = 0.17610
n_iter = 9 J = 121.22 max(relative change in state) = 0.21817
n_iter = 10 J = 121.16 max(relative change in state) = 0.13464
n_iter = 11 J = 121.12 max(relative change in state) = 0.58699E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 492 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 493 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 493 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 234.91 max(relative change in state) = -
n_iter = 2 J = 211.77 max(relative change in state) = 6.1775
n_iter = 3 J = 168.69 max(relative change in state) = 2.6193
n_iter = 4 J = 167.42 max(relative change in state) = 0.23659
n_iter = 5 J = 168.04 max(relative change in state) = 0.31409
n_iter = 6 J = 166.65 max(relative change in state) = 0.23456
n_iter = 7 J = 166.50 max(relative change in state) = 0.40523E-01
n_iter = 8 J = 166.16 max(relative change in state) = 0.14539
n_iter = 9 J = 166.24 max(relative change in state) = 0.10845
n_iter = 10 J = 165.98 max(relative change in state) = 0.14892
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 493 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 494 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 494 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 53.374 max(relative change in state) = -
n_iter = 2 J = 44.077 max(relative change in state) = 0.46339
n_iter = 3 J = 29.956 max(relative change in state) = 1.3360
n_iter = 4 J = 28.776 max(relative change in state) = 0.26353
n_iter = 5 J = 30.628 max(relative change in state) = 0.62653
n_iter = 6 J = 28.442 max(relative change in state) = 0.44010
n_iter = 7 J = 28.401 max(relative change in state) = 0.30058E-01
n_iter = 8 J = 28.299 max(relative change in state) = 0.64886E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 494 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 495 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 495 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 176.91 max(relative change in state) = -
n_iter = 2 J = 128.33 max(relative change in state) = 3.6011
n_iter = 3 J = 119.84 max(relative change in state) = 0.97672
n_iter = 4 J = 121.90 max(relative change in state) = 1.6230
n_iter = 5 J = 118.24 max(relative change in state) = 1.0416
n_iter = 6 J = 117.98 max(relative change in state) = 0.18555
n_iter = 7 J = 117.62 max(relative change in state) = 0.38614
n_iter = 8 J = 117.18 max(relative change in state) = 0.15952
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 495 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 496 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 496 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 184.47 max(relative change in state) = -
n_iter = 2 J = 99.223 max(relative change in state) = 2.5280
n_iter = 3 J = 76.340 max(relative change in state) = 1.8215
n_iter = 4 J = 74.058 max(relative change in state) = 0.66807
n_iter = 5 J = 72.304 max(relative change in state) = 0.24592
n_iter = 6 J = 71.963 max(relative change in state) = 0.32273
n_iter = 7 J = 71.749 max(relative change in state) = 0.14665
n_iter = 8 J = 71.473 max(relative change in state) = 0.14583
n_iter = 9 J = 71.542 max(relative change in state) = 0.70832E-01
n_iter = 10 J = 71.388 max(relative change in state) = 0.64194E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 496 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 497 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 497 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 120.36 max(relative change in state) = -
n_iter = 2 J = 98.565 max(relative change in state) = 0.63591
n_iter = 3 J = 49.985 max(relative change in state) = 2.6461
n_iter = 4 J = 48.117 max(relative change in state) = 0.31658
n_iter = 5 J = 50.823 max(relative change in state) = 1.6772
n_iter = 6 J = 47.555 max(relative change in state) = 1.3079
n_iter = 7 J = 47.446 max(relative change in state) = 0.16053
n_iter = 8 J = 47.340 max(relative change in state) = 0.18047
n_iter = 9 J = 47.215 max(relative change in state) = 0.10860
n_iter = 10 J = 47.286 max(relative change in state) = 0.49384
n_iter = 11 J = 47.093 max(relative change in state) = 0.28336
n_iter = 12 J = 47.078 max(relative change in state) = 0.82918E-01
n_iter = 13 J = 47.067 max(relative change in state) = 0.21309E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 497 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 498 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 498 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 82.011 max(relative change in state) = -
n_iter = 2 J = 69.396 max(relative change in state) = 0.71046
n_iter = 3 J = 58.402 max(relative change in state) = 1.7295
n_iter = 4 J = 61.462 max(relative change in state) = 1.3643
n_iter = 5 J = 57.935 max(relative change in state) = 1.0526
n_iter = 6 J = 57.825 max(relative change in state) = 0.58415E-01
n_iter = 7 J = 57.377 max(relative change in state) = 0.27230
n_iter = 8 J = 57.301 max(relative change in state) = 0.32001
n_iter = 9 J = 57.227 max(relative change in state) = 0.14341
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 498 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 499 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 499 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.019 max(relative change in state) = -
n_iter = 2 J = 42.701 max(relative change in state) = 0.45290
n_iter = 3 J = 35.578 max(relative change in state) = 1.3307
n_iter = 4 J = 33.797 max(relative change in state) = 0.49316
n_iter = 5 J = 34.945 max(relative change in state) = 0.81192
n_iter = 6 J = 33.362 max(relative change in state) = 0.48394
n_iter = 7 J = 33.307 max(relative change in state) = 0.22475E-01
n_iter = 8 J = 33.206 max(relative change in state) = 0.16140
n_iter = 9 J = 33.173 max(relative change in state) = 0.69140E-01
n_iter = 10 J = 33.090 max(relative change in state) = 0.30120E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 499 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 500 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 500 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 26.835 max(relative change in state) = -
n_iter = 2 J = 22.104 max(relative change in state) = 0.33859
n_iter = 3 J = 14.580 max(relative change in state) = 1.0418
n_iter = 4 J = 14.446 max(relative change in state) = 0.11654
n_iter = 5 J = 14.591 max(relative change in state) = 0.27317
n_iter = 6 J = 14.412 max(relative change in state) = 0.18627
n_iter = 7 J = 14.406 max(relative change in state) = 0.65919E-02
n_iter = 8 J = 14.379 max(relative change in state) = 0.54811E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 500 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 501 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 501 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 135.56 max(relative change in state) = -
n_iter = 2 J = 112.32 max(relative change in state) = 0.85559
n_iter = 3 J = 81.786 max(relative change in state) = 1.9544
n_iter = 4 J = 85.334 max(relative change in state) = 1.2634
n_iter = 5 J = 80.798 max(relative change in state) = 0.92901
n_iter = 6 J = 80.640 max(relative change in state) = 0.79953E-01
n_iter = 7 J = 80.259 max(relative change in state) = 0.27168
n_iter = 8 J = 80.077 max(relative change in state) = 0.99642E-01
n_iter = 9 J = 80.022 max(relative change in state) = 0.20267
n_iter = 10 J = 79.970 max(relative change in state) = 0.23655E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 501 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 502 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 502 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 502 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 503 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 503 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 70.689 max(relative change in state) = -
n_iter = 2 J = 59.276 max(relative change in state) = 0.81031
n_iter = 3 J = 51.620 max(relative change in state) = 1.2044
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 503 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 504 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 504 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 64.466 max(relative change in state) = -
n_iter = 2 J = 53.101 max(relative change in state) = 0.49307
n_iter = 3 J = 35.071 max(relative change in state) = 1.3956
n_iter = 4 J = 34.446 max(relative change in state) = 0.17878
n_iter = 5 J = 34.116 max(relative change in state) = 0.19133
n_iter = 6 J = 34.014 max(relative change in state) = 0.11771
n_iter = 7 J = 33.983 max(relative change in state) = 0.27966E-01
n_iter = 8 J = 34.062 max(relative change in state) = 0.21795
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 504 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 505 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 505 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 7 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 559.30 max(relative change in state) = -
n_iter = 2 J = 470.11 max(relative change in state) = 13.882
n_iter = 3 J = 291.50 max(relative change in state) = 6.7390
n_iter = 4 J = 288.75 max(relative change in state) = 0.51468
n_iter = 5 J = 289.15 max(relative change in state) = 0.40260
n_iter = 6 J = 287.76 max(relative change in state) = 0.20534
n_iter = 7 J = 287.68 max(relative change in state) = 0.26685E-01
n_iter = 8 J = 287.50 max(relative change in state) = 0.88019E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 505 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 506 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 506 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 63.017 max(relative change in state) = -
n_iter = 2 J = 52.374 max(relative change in state) = 0.58643
n_iter = 3 J = 37.595 max(relative change in state) = 1.9270
n_iter = 4 J = 40.575 max(relative change in state) = 1.3899
n_iter = 5 J = 37.324 max(relative change in state) = 1.0941
n_iter = 6 J = 37.254 max(relative change in state) = 0.50423E-01
n_iter = 7 J = 37.040 max(relative change in state) = 0.15944
n_iter = 8 J = 37.012 max(relative change in state) = 0.16691
n_iter = 9 J = 36.966 max(relative change in state) = 0.66995E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 506 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 507 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 507 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 55.156 max(relative change in state) = -
n_iter = 2 J = 46.151 max(relative change in state) = 0.39691
n_iter = 3 J = 37.431 max(relative change in state) = 0.84242
n_iter = 4 J = 37.241 max(relative change in state) = 0.45915
n_iter = 5 J = 37.018 max(relative change in state) = 0.45518
n_iter = 6 J = 36.929 max(relative change in state) = 0.65199E-01
n_iter = 7 J = 36.914 max(relative change in state) = 0.13029E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 507 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 508 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 508 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 188.19 max(relative change in state) = -
n_iter = 2 J = 102.48 max(relative change in state) = 2.9576
n_iter = 3 J = 85.629 max(relative change in state) = 1.3116
n_iter = 4 J = 83.701 max(relative change in state) = 0.37677
n_iter = 5 J = 85.646 max(relative change in state) = 0.63576
n_iter = 6 J = 83.158 max(relative change in state) = 0.41783
n_iter = 7 J = 83.088 max(relative change in state) = 0.19051E-01
n_iter = 8 J = 82.729 max(relative change in state) = 0.21034
n_iter = 9 J = 82.879 max(relative change in state) = 0.80061E-01
n_iter = 10 J = 82.702 max(relative change in state) = 0.69181E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 508 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 509 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 509 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 106.92 max(relative change in state) = -
n_iter = 2 J = 87.885 max(relative change in state) = 0.53240
n_iter = 3 J = 52.620 max(relative change in state) = 2.8358
n_iter = 4 J = 51.692 max(relative change in state) = 0.47385
n_iter = 5 J = 51.301 max(relative change in state) = 0.28623
n_iter = 6 J = 51.148 max(relative change in state) = 0.11130
n_iter = 7 J = 51.105 max(relative change in state) = 0.44710E-01
n_iter = 8 J = 51.038 max(relative change in state) = 0.15516
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 509 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 510 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 510 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.68 max(relative change in state) = -
n_iter = 2 J = 92.322 max(relative change in state) = 1.1833
n_iter = 3 J = 83.063 max(relative change in state) = 1.1745
n_iter = 4 J = 84.884 max(relative change in state) = 0.46025
n_iter = 5 J = 82.619 max(relative change in state) = 0.36933
n_iter = 6 J = 82.531 max(relative change in state) = 0.26067E-01
n_iter = 7 J = 82.322 max(relative change in state) = 0.10274
n_iter = 8 J = 82.242 max(relative change in state) = 0.84631E-01
n_iter = 9 J = 82.216 max(relative change in state) = 0.33993E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 510 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 511 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 511 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 44.170 max(relative change in state) = -
n_iter = 2 J = 36.690 max(relative change in state) = 0.48464
n_iter = 3 J = 27.507 max(relative change in state) = 1.2860
n_iter = 4 J = 27.148 max(relative change in state) = 0.22713
n_iter = 5 J = 27.219 max(relative change in state) = 0.32288
n_iter = 6 J = 26.989 max(relative change in state) = 0.13664
n_iter = 7 J = 26.953 max(relative change in state) = 0.21587E-01
n_iter = 8 J = 26.974 max(relative change in state) = 0.15779
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 511 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 512 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 512 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 121.06 max(relative change in state) = -
n_iter = 2 J = 99.470 max(relative change in state) = 0.60089
n_iter = 3 J = 57.377 max(relative change in state) = 1.9844
n_iter = 4 J = 57.783 max(relative change in state) = 1.1519
n_iter = 5 J = 55.723 max(relative change in state) = 0.69857
n_iter = 6 J = 55.589 max(relative change in state) = 0.21591
n_iter = 7 J = 55.506 max(relative change in state) = 0.14713
n_iter = 8 J = 55.348 max(relative change in state) = 0.11097
n_iter = 9 J = 55.059 max(relative change in state) = 0.27967
n_iter = 10 J = 55.031 max(relative change in state) = 0.29629
n_iter = 11 J = 54.987 max(relative change in state) = 0.10964
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 512 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 513 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 513 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 46.646 max(relative change in state) = -
n_iter = 2 J = 38.343 max(relative change in state) = 0.40455
n_iter = 3 J = 23.237 max(relative change in state) = 1.4846
n_iter = 4 J = 22.820 max(relative change in state) = 0.21014
n_iter = 5 J = 23.442 max(relative change in state) = 0.22896
n_iter = 6 J = 22.739 max(relative change in state) = 0.18204
n_iter = 7 J = 22.728 max(relative change in state) = 0.93521E-02
n_iter = 8 J = 22.689 max(relative change in state) = 0.11634
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 513 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 514 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 514 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 151.13 max(relative change in state) = -
n_iter = 2 J = 119.62 max(relative change in state) = 1.4340
n_iter = 3 J = 109.62 max(relative change in state) = 0.99768
n_iter = 4 J = 112.36 max(relative change in state) = 1.4786
n_iter = 5 J = 107.90 max(relative change in state) = 0.93081
n_iter = 6 J = 107.42 max(relative change in state) = 0.30622
n_iter = 7 J = 107.40 max(relative change in state) = 0.33595
n_iter = 8 J = 107.31 max(relative change in state) = 0.14332
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 514 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 515 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 515 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 665.66 max(relative change in state) = -
n_iter = 2 J = 778.19 max(relative change in state) = 15.135
n_iter = 3 J = 409.77 max(relative change in state) = 8.5857
n_iter = 4 J = 371.11 max(relative change in state) = 2.4833
n_iter = 5 J = 410.30 max(relative change in state) = 2.9837
n_iter = 6 J = 362.62 max(relative change in state) = 2.1443
n_iter = 7 J = 360.17 max(relative change in state) = 0.18770
n_iter = 8 J = 347.45 max(relative change in state) = 1.8096
n_iter = 9 J = 355.08 max(relative change in state) = 0.77809
n_iter = 10 J = 345.27 max(relative change in state) = 0.51549
n_iter = 11 J = 344.63 max(relative change in state) = 0.68136E-01
n_iter = 12 J = 341.03 max(relative change in state) = 0.87065
n_iter = 13 J = 344.11 max(relative change in state) = 0.57974
n_iter = 14 J = 339.92 max(relative change in state) = 0.32406
n_iter = 15 J = 339.64 max(relative change in state) = 0.46869E-01
n_iter = 16 J = 338.60 max(relative change in state) = 0.36248
n_iter = 17 J = 338.41 max(relative change in state) = 0.28936
n_iter = 18 J = 338.17 max(relative change in state) = 0.13292
n_iter = 19 J = 338.09 max(relative change in state) = 0.67669E-01
n_iter = 20 J = 338.01 max(relative change in state) = 0.15880
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 20.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 515 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 516 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 516 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 89.848 max(relative change in state) = -
n_iter = 2 J = 75.315 max(relative change in state) = 0.87175
n_iter = 3 J = 61.526 max(relative change in state) = 1.3891
n_iter = 4 J = 60.101 max(relative change in state) = 0.61478
n_iter = 5 J = 58.805 max(relative change in state) = 0.38342
n_iter = 6 J = 58.739 max(relative change in state) = 0.10470
n_iter = 7 J = 58.667 max(relative change in state) = 0.12639
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 516 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 517 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 517 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 304.11 max(relative change in state) = -
n_iter = 2 J = 148.65 max(relative change in state) = 6.3290
n_iter = 3 J = 131.88 max(relative change in state) = 1.5303
n_iter = 4 J = 129.28 max(relative change in state) = 0.47144
n_iter = 5 J = 133.42 max(relative change in state) = 1.3235
n_iter = 6 J = 128.17 max(relative change in state) = 0.96344
n_iter = 7 J = 127.95 max(relative change in state) = 0.82344E-01
n_iter = 8 J = 127.66 max(relative change in state) = 0.35189
n_iter = 9 J = 127.32 max(relative change in state) = 0.19188
n_iter = 10 J = 127.16 max(relative change in state) = 0.20627
n_iter = 11 J = 126.87 max(relative change in state) = 0.20921
n_iter = 12 J = 126.58 max(relative change in state) = 0.26054
n_iter = 13 J = 126.42 max(relative change in state) = 0.25240
n_iter = 14 J = 126.29 max(relative change in state) = 0.17165
n_iter = 15 J = 126.14 max(relative change in state) = 0.32559
n_iter = 16 J = 126.28 max(relative change in state) = 0.30612
n_iter = 17 J = 126.07 max(relative change in state) = 0.17930
n_iter = 18 J = 126.06 max(relative change in state) = 0.11087E-01
n_iter = 19 J = 125.97 max(relative change in state) = 0.14240
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 19.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 517 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 518 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 518 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 218.09 max(relative change in state) = -
n_iter = 2 J = 124.71 max(relative change in state) = 3.6760
n_iter = 3 J = 110.15 max(relative change in state) = 1.1852
n_iter = 4 J = 111.41 max(relative change in state) = 1.7170
n_iter = 5 J = 106.79 max(relative change in state) = 1.0607
n_iter = 6 J = 106.47 max(relative change in state) = 0.33845
n_iter = 7 J = 106.23 max(relative change in state) = 0.22173
n_iter = 8 J = 105.66 max(relative change in state) = 0.20523
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 518 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 519 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 519 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 121.75 max(relative change in state) = -
n_iter = 2 J = 100.00 max(relative change in state) = 0.60591
n_iter = 3 J = 60.730 max(relative change in state) = 2.4835
n_iter = 4 J = 58.815 max(relative change in state) = 0.75277
n_iter = 5 J = 57.472 max(relative change in state) = 0.47781
n_iter = 6 J = 57.169 max(relative change in state) = 0.15598
n_iter = 7 J = 57.487 max(relative change in state) = 0.38315
n_iter = 8 J = 57.202 max(relative change in state) = 0.65581E-01
n_iter = 9 J = 56.928 max(relative change in state) = 0.10622
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 519 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 520 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 520 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 50.916 max(relative change in state) = -
n_iter = 2 J = 42.302 max(relative change in state) = 0.55598
n_iter = 3 J = 31.044 max(relative change in state) = 1.7216
n_iter = 4 J = 36.761 max(relative change in state) = 1.9734
n_iter = 5 J = 30.805 max(relative change in state) = 1.6804
n_iter = 6 J = 30.745 max(relative change in state) = 0.25022E-01
n_iter = 7 J = 30.550 max(relative change in state) = 0.19334
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 520 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 521 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 521 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 91.522 max(relative change in state) = -
n_iter = 2 J = 75.982 max(relative change in state) = 0.55611
n_iter = 3 J = 52.099 max(relative change in state) = 1.9021
n_iter = 4 J = 62.591 max(relative change in state) = 2.7247
n_iter = 5 J = 50.425 max(relative change in state) = 2.0872
n_iter = 6 J = 49.967 max(relative change in state) = 0.11260
n_iter = 7 J = 48.870 max(relative change in state) = 0.46714
n_iter = 8 J = 48.545 max(relative change in state) = 0.57299
n_iter = 9 J = 48.249 max(relative change in state) = 0.16690
n_iter = 10 J = 48.063 max(relative change in state) = 0.28653
n_iter = 11 J = 47.970 max(relative change in state) = 0.54076E-01
n_iter = 12 J = 47.852 max(relative change in state) = 0.15705
n_iter = 13 J = 47.745 max(relative change in state) = 0.62905E-01
n_iter = 14 J = 47.691 max(relative change in state) = 0.11201
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 521 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 522 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 522 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.282 max(relative change in state) = -
n_iter = 2 J = 66.233 max(relative change in state) = 0.57633
n_iter = 3 J = 42.620 max(relative change in state) = 1.9914
n_iter = 4 J = 42.493 max(relative change in state) = 1.0007
n_iter = 5 J = 40.894 max(relative change in state) = 0.56659
n_iter = 6 J = 40.774 max(relative change in state) = 0.21596
n_iter = 7 J = 40.713 max(relative change in state) = 0.13258
n_iter = 8 J = 40.628 max(relative change in state) = 0.63718E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 522 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 523 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 523 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 43.210 max(relative change in state) = -
n_iter = 2 J = 35.752 max(relative change in state) = 0.37887
n_iter = 3 J = 23.534 max(relative change in state) = 1.4290
n_iter = 4 J = 22.910 max(relative change in state) = 0.24074
n_iter = 5 J = 22.976 max(relative change in state) = 0.44901
n_iter = 6 J = 22.528 max(relative change in state) = 0.19451
n_iter = 7 J = 22.439 max(relative change in state) = 0.50603E-01
n_iter = 8 J = 22.398 max(relative change in state) = 0.87566E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 523 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 524 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 524 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 96.559 max(relative change in state) = -
n_iter = 2 J = 79.922 max(relative change in state) = 0.66560
n_iter = 3 J = 56.704 max(relative change in state) = 1.6169
n_iter = 4 J = 54.750 max(relative change in state) = 0.27991
n_iter = 5 J = 57.153 max(relative change in state) = 1.0656
n_iter = 6 J = 54.572 max(relative change in state) = 0.89521
n_iter = 7 J = 54.523 max(relative change in state) = 0.32216E-01
n_iter = 8 J = 54.411 max(relative change in state) = 0.13753
n_iter = 9 J = 54.419 max(relative change in state) = 0.11250
n_iter = 10 J = 54.363 max(relative change in state) = 0.24656E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 524 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 525 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 525 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 53.576 max(relative change in state) = -
n_iter = 2 J = 44.669 max(relative change in state) = 0.35003
n_iter = 3 J = 28.569 max(relative change in state) = 1.4405
n_iter = 4 J = 27.731 max(relative change in state) = 0.39367
n_iter = 5 J = 28.312 max(relative change in state) = 0.45559
n_iter = 6 J = 27.396 max(relative change in state) = 0.28009
n_iter = 7 J = 27.314 max(relative change in state) = 0.18556E-01
n_iter = 8 J = 27.179 max(relative change in state) = 0.18104
n_iter = 9 J = 27.266 max(relative change in state) = 0.14819
n_iter = 10 J = 27.043 max(relative change in state) = 0.89378E-01
n_iter = 11 J = 27.004 max(relative change in state) = 0.30248E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 525 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 526 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 526 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 100.49 max(relative change in state) = -
n_iter = 2 J = 83.995 max(relative change in state) = 0.66496
n_iter = 3 J = 65.791 max(relative change in state) = 1.3640
n_iter = 4 J = 64.756 max(relative change in state) = 0.76878
n_iter = 5 J = 63.700 max(relative change in state) = 0.37033
n_iter = 6 J = 63.488 max(relative change in state) = 0.23096
n_iter = 7 J = 63.317 max(relative change in state) = 0.14154
n_iter = 8 J = 63.155 max(relative change in state) = 0.75149E-01
n_iter = 9 J = 63.161 max(relative change in state) = 0.41576
n_iter = 10 J = 63.029 max(relative change in state) = 0.28740
n_iter = 11 J = 62.968 max(relative change in state) = 0.25848E-01
n_iter = 12 J = 62.947 max(relative change in state) = 0.16567E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 526 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 527 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 527 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 66.485 max(relative change in state) = -
n_iter = 2 J = 55.316 max(relative change in state) = 0.48084
n_iter = 3 J = 36.304 max(relative change in state) = 1.4846
n_iter = 4 J = 34.507 max(relative change in state) = 0.26620
n_iter = 5 J = 34.976 max(relative change in state) = 0.56223
n_iter = 6 J = 33.579 max(relative change in state) = 0.30006
n_iter = 7 J = 33.498 max(relative change in state) = 0.41887E-01
n_iter = 8 J = 33.351 max(relative change in state) = 0.65575E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 527 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 528 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 528 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 153.37 max(relative change in state) = -
n_iter = 2 J = 105.56 max(relative change in state) = 1.6727
n_iter = 3 J = 72.397 max(relative change in state) = 3.1775
n_iter = 4 J = 77.608 max(relative change in state) = 1.7050
n_iter = 5 J = 71.707 max(relative change in state) = 1.3288
n_iter = 6 J = 71.554 max(relative change in state) = 0.57536E-01
n_iter = 7 J = 71.000 max(relative change in state) = 0.25165
n_iter = 8 J = 70.892 max(relative change in state) = 0.30408
n_iter = 9 J = 70.814 max(relative change in state) = 0.16542
n_iter = 10 J = 70.786 max(relative change in state) = 0.73150E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 528 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 529 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 529 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 223.60 max(relative change in state) = -
n_iter = 2 J = 122.01 max(relative change in state) = 3.4690
n_iter = 3 J = 103.26 max(relative change in state) = 1.4219
n_iter = 4 J = 101.10 max(relative change in state) = 0.79338
n_iter = 5 J = 100.73 max(relative change in state) = 0.62294
n_iter = 6 J = 100.09 max(relative change in state) = 0.16985
n_iter = 7 J = 100.04 max(relative change in state) = 0.35444E-01
n_iter = 8 J = 99.891 max(relative change in state) = 0.16170
n_iter = 9 J = 99.935 max(relative change in state) = 0.19083
n_iter = 10 J = 99.819 max(relative change in state) = 0.94173E-01
n_iter = 11 J = 99.799 max(relative change in state) = 0.11243E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 529 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 530 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 530 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 202.66 max(relative change in state) = -
n_iter = 2 J = 102.93 max(relative change in state) = 3.6123
n_iter = 3 J = 88.137 max(relative change in state) = 1.2599
n_iter = 4 J = 86.594 max(relative change in state) = 0.90582
n_iter = 5 J = 85.327 max(relative change in state) = 0.64615
n_iter = 6 J = 85.120 max(relative change in state) = 0.54331E-01
n_iter = 7 J = 85.037 max(relative change in state) = 0.85667E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 530 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 531 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 531 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 38.768 max(relative change in state) = -
n_iter = 2 J = 31.765 max(relative change in state) = 0.48143
n_iter = 3 J = 17.275 max(relative change in state) = 2.1935
n_iter = 4 J = 16.902 max(relative change in state) = 0.12955
n_iter = 5 J = 17.538 max(relative change in state) = 0.64913
n_iter = 6 J = 16.805 max(relative change in state) = 0.48590
n_iter = 7 J = 16.791 max(relative change in state) = 0.62518E-01
n_iter = 8 J = 16.777 max(relative change in state) = 0.68577E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 531 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 532 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 532 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 532 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 533 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 533 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 269.88 max(relative change in state) = -
n_iter = 2 J = 156.27 max(relative change in state) = 4.5382
n_iter = 3 J = 140.12 max(relative change in state) = 1.6070
n_iter = 4 J = 138.10 max(relative change in state) = 0.28767
n_iter = 5 J = 138.61 max(relative change in state) = 1.1478
n_iter = 6 J = 136.75 max(relative change in state) = 0.68959
n_iter = 7 J = 136.61 max(relative change in state) = 0.27333
n_iter = 8 J = 136.55 max(relative change in state) = 0.41912E-01
n_iter = 9 J = 136.38 max(relative change in state) = 0.10160
n_iter = 10 J = 136.40 max(relative change in state) = 0.35415
n_iter = 11 J = 136.30 max(relative change in state) = 0.20190
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 533 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 534 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 534 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 140.88 max(relative change in state) = -
n_iter = 2 J = 115.50 max(relative change in state) = 0.87224
n_iter = 3 J = 101.33 max(relative change in state) = 1.1221
n_iter = 4 J = 110.94 max(relative change in state) = 2.4847
n_iter = 5 J = 99.914 max(relative change in state) = 1.9376
n_iter = 6 J = 99.512 max(relative change in state) = 0.10613
n_iter = 7 J = 98.530 max(relative change in state) = 0.62838
n_iter = 8 J = 97.936 max(relative change in state) = 0.60960
n_iter = 9 J = 97.568 max(relative change in state) = 0.18796
n_iter = 10 J = 97.850 max(relative change in state) = 0.24217
n_iter = 11 J = 97.434 max(relative change in state) = 0.18831
n_iter = 12 J = 97.333 max(relative change in state) = 0.60725E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 534 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 535 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 535 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 64.483 max(relative change in state) = -
n_iter = 2 J = 53.485 max(relative change in state) = 0.47992
n_iter = 3 J = 44.663 max(relative change in state) = 0.98570
n_iter = 4 J = 45.615 max(relative change in state) = 1.2264
n_iter = 5 J = 43.969 max(relative change in state) = 0.97869
n_iter = 6 J = 43.896 max(relative change in state) = 0.12306
n_iter = 7 J = 43.858 max(relative change in state) = 0.64327E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 535 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 536 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 536 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 90.496 max(relative change in state) = -
n_iter = 2 J = 75.135 max(relative change in state) = 0.58202
n_iter = 3 J = 51.784 max(relative change in state) = 2.2918
n_iter = 4 J = 62.032 max(relative change in state) = 2.4895
n_iter = 5 J = 51.214 max(relative change in state) = 2.0577
n_iter = 6 J = 51.061 max(relative change in state) = 0.34886E-01
n_iter = 7 J = 50.700 max(relative change in state) = 0.30178
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 536 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 537 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 537 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 57.066 max(relative change in state) = -
n_iter = 2 J = 47.062 max(relative change in state) = 0.56571
n_iter = 3 J = 31.506 max(relative change in state) = 1.7574
n_iter = 4 J = 31.442 max(relative change in state) = 0.57693
n_iter = 5 J = 30.866 max(relative change in state) = 0.28462
n_iter = 6 J = 30.781 max(relative change in state) = 0.17492
n_iter = 7 J = 30.743 max(relative change in state) = 0.85613E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 537 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 538 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 538 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 117.27 max(relative change in state) = -
n_iter = 2 J = 97.069 max(relative change in state) = 0.70325
n_iter = 3 J = 69.961 max(relative change in state) = 1.5961
n_iter = 4 J = 68.920 max(relative change in state) = 0.55764
n_iter = 5 J = 68.112 max(relative change in state) = 0.24724
n_iter = 6 J = 68.029 max(relative change in state) = 0.15024
n_iter = 7 J = 67.954 max(relative change in state) = 0.13770
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 538 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 539 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 539 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 54.284 max(relative change in state) = -
n_iter = 2 J = 44.762 max(relative change in state) = 0.43820
n_iter = 3 J = 29.213 max(relative change in state) = 1.3272
n_iter = 4 J = 28.514 max(relative change in state) = 0.22210
n_iter = 5 J = 29.074 max(relative change in state) = 0.47278
n_iter = 6 J = 28.332 max(relative change in state) = 0.27950
n_iter = 7 J = 28.319 max(relative change in state) = 0.60209E-02
n_iter = 8 J = 28.235 max(relative change in state) = 0.84238E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 539 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 540 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 540 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 60.726 max(relative change in state) = -
n_iter = 2 J = 50.559 max(relative change in state) = 0.63548
n_iter = 3 J = 39.079 max(relative change in state) = 1.1637
n_iter = 4 J = 37.431 max(relative change in state) = 0.31998
n_iter = 5 J = 42.948 max(relative change in state) = 0.52544
n_iter = 6 J = 37.259 max(relative change in state) = 0.33107
n_iter = 7 J = 37.061 max(relative change in state) = 0.12486
n_iter = 8 J = 36.967 max(relative change in state) = 0.11373
n_iter = 9 J = 36.932 max(relative change in state) = 0.18233E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 540 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 541 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 541 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 312.79 max(relative change in state) = -
n_iter = 2 J = 598.15 max(relative change in state) = 10.515
n_iter = 3 J = 246.22 max(relative change in state) = 7.6343
n_iter = 4 J = 242.84 max(relative change in state) = 0.51608
n_iter = 5 J = 240.17 max(relative change in state) = 0.66612
n_iter = 6 J = 239.61 max(relative change in state) = 0.18945
n_iter = 7 J = 239.10 max(relative change in state) = 0.80961E-01
n_iter = 8 J = 239.03 max(relative change in state) = 0.30765E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 541 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 542 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 542 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.509 max(relative change in state) = -
n_iter = 2 J = 67.429 max(relative change in state) = 0.61137
n_iter = 3 J = 50.651 max(relative change in state) = 2.0242
n_iter = 4 J = 49.741 max(relative change in state) = 0.39459
n_iter = 5 J = 49.456 max(relative change in state) = 0.28597
n_iter = 6 J = 49.134 max(relative change in state) = 0.14297
n_iter = 7 J = 49.042 max(relative change in state) = 0.40048E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 542 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 543 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 543 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.52 max(relative change in state) = -
n_iter = 2 J = 89.004 max(relative change in state) = 0.71610
n_iter = 3 J = 50.131 max(relative change in state) = 2.9359
n_iter = 4 J = 50.034 max(relative change in state) = 0.48214
n_iter = 5 J = 49.190 max(relative change in state) = 0.21470
n_iter = 6 J = 49.145 max(relative change in state) = 0.20652E-01
n_iter = 7 J = 48.990 max(relative change in state) = 0.20756
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 543 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 544 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 544 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 196.50 max(relative change in state) = -
n_iter = 2 J = 110.21 max(relative change in state) = 2.7525
n_iter = 3 J = 95.905 max(relative change in state) = 1.6201
n_iter = 4 J = 95.196 max(relative change in state) = 0.72709
n_iter = 5 J = 93.208 max(relative change in state) = 0.40748
n_iter = 6 J = 93.103 max(relative change in state) = 0.16337
n_iter = 7 J = 93.030 max(relative change in state) = 0.14669
n_iter = 8 J = 92.931 max(relative change in state) = 0.79699E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 544 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 545 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 545 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.811 max(relative change in state) = -
n_iter = 2 J = 43.201 max(relative change in state) = 0.53838
n_iter = 3 J = 31.477 max(relative change in state) = 1.9107
n_iter = 4 J = 34.277 max(relative change in state) = 1.4011
n_iter = 5 J = 31.109 max(relative change in state) = 1.1033
n_iter = 6 J = 31.001 max(relative change in state) = 0.55196E-01
n_iter = 7 J = 30.497 max(relative change in state) = 0.27844
n_iter = 8 J = 30.383 max(relative change in state) = 0.47220
n_iter = 9 J = 30.226 max(relative change in state) = 0.23700
n_iter = 10 J = 30.173 max(relative change in state) = 0.10268
n_iter = 11 J = 30.104 max(relative change in state) = 0.76983E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 545 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 546 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 546 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 410.08 max(relative change in state) = -
n_iter = 2 J = 428.65 max(relative change in state) = 10.747
n_iter = 3 J = 249.04 max(relative change in state) = 5.2840
n_iter = 4 J = 242.47 max(relative change in state) = 0.47694
n_iter = 5 J = 242.25 max(relative change in state) = 1.6090
n_iter = 6 J = 237.03 max(relative change in state) = 1.0285
n_iter = 7 J = 236.56 max(relative change in state) = 0.42012
n_iter = 8 J = 236.51 max(relative change in state) = 0.73497E-01
n_iter = 9 J = 236.41 max(relative change in state) = 0.95637E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 546 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 547 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 547 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 547 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 548 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 548 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 90.652 max(relative change in state) = -
n_iter = 2 J = 75.902 max(relative change in state) = 0.80546
n_iter = 3 J = 59.620 max(relative change in state) = 1.2506
n_iter = 4 J = 57.867 max(relative change in state) = 0.62996
n_iter = 5 J = 56.947 max(relative change in state) = 0.58380
n_iter = 6 J = 56.610 max(relative change in state) = 0.90854E-01
n_iter = 7 J = 56.555 max(relative change in state) = 0.39996E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 548 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 549 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 549 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 115.50 max(relative change in state) = -
n_iter = 2 J = 95.055 max(relative change in state) = 0.60694
n_iter = 3 J = 59.295 max(relative change in state) = 2.4014
n_iter = 4 J = 58.021 max(relative change in state) = 0.61419
n_iter = 5 J = 56.785 max(relative change in state) = 0.22074
n_iter = 6 J = 56.505 max(relative change in state) = 0.25775
n_iter = 7 J = 56.337 max(relative change in state) = 0.11562
n_iter = 8 J = 56.200 max(relative change in state) = 0.11754
n_iter = 9 J = 56.142 max(relative change in state) = 0.18039
n_iter = 10 J = 56.082 max(relative change in state) = 0.60507E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 549 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 550 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 550 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 107.42 max(relative change in state) = -
n_iter = 2 J = 89.420 max(relative change in state) = 0.93027
n_iter = 3 J = 69.216 max(relative change in state) = 1.8028
n_iter = 4 J = 68.455 max(relative change in state) = 0.54334
n_iter = 5 J = 67.564 max(relative change in state) = 0.30117
n_iter = 6 J = 67.460 max(relative change in state) = 0.13137
n_iter = 7 J = 67.350 max(relative change in state) = 0.20729
n_iter = 8 J = 67.183 max(relative change in state) = 0.71320E-01
n_iter = 9 J = 67.255 max(relative change in state) = 0.17723
n_iter = 10 J = 67.083 max(relative change in state) = 0.55627E-01
n_iter = 11 J = 67.064 max(relative change in state) = 0.41215E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 550 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 551 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 551 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 157.17 max(relative change in state) = -
n_iter = 2 J = 112.04 max(relative change in state) = 1.7798
n_iter = 3 J = 97.520 max(relative change in state) = 1.1862
n_iter = 4 J = 110.76 max(relative change in state) = 2.4786
n_iter = 5 J = 96.546 max(relative change in state) = 1.9956
n_iter = 6 J = 96.276 max(relative change in state) = 0.30216E-01
n_iter = 7 J = 95.212 max(relative change in state) = 0.29507
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 551 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 552 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 552 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 123.49 max(relative change in state) = -
n_iter = 2 J = 102.98 max(relative change in state) = 0.85543
n_iter = 3 J = 80.995 max(relative change in state) = 2.1641
n_iter = 4 J = 80.446 max(relative change in state) = 0.65271
n_iter = 5 J = 79.554 max(relative change in state) = 0.34045
n_iter = 6 J = 79.441 max(relative change in state) = 0.17633
n_iter = 7 J = 79.384 max(relative change in state) = 0.16335
n_iter = 8 J = 79.328 max(relative change in state) = 0.34862E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 552 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 553 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 553 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 145.07 max(relative change in state) = -
n_iter = 2 J = 111.36 max(relative change in state) = 0.80473
n_iter = 3 J = 77.031 max(relative change in state) = 1.9363
n_iter = 4 J = 78.467 max(relative change in state) = 1.1536
n_iter = 5 J = 75.380 max(relative change in state) = 0.81658
n_iter = 6 J = 74.913 max(relative change in state) = 0.22129
n_iter = 7 J = 74.560 max(relative change in state) = 0.37242
n_iter = 8 J = 73.834 max(relative change in state) = 0.40508
n_iter = 9 J = 73.641 max(relative change in state) = 0.32443
n_iter = 10 J = 72.972 max(relative change in state) = 0.18916
n_iter = 11 J = 72.834 max(relative change in state) = 0.29709
n_iter = 12 J = 72.201 max(relative change in state) = 0.26614
n_iter = 13 J = 71.483 max(relative change in state) = 0.37868
n_iter = 14 J = 71.351 max(relative change in state) = 0.41924
n_iter = 15 J = 71.190 max(relative change in state) = 0.78693E-01
n_iter = 16 J = 71.112 max(relative change in state) = 0.17474
n_iter = 17 J = 71.084 max(relative change in state) = 0.11052
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 17.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 553 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 554 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 554 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 49.009 max(relative change in state) = -
n_iter = 2 J = 40.650 max(relative change in state) = 0.50666
n_iter = 3 J = 29.347 max(relative change in state) = 1.2167
n_iter = 4 J = 28.824 max(relative change in state) = 0.41081
n_iter = 5 J = 28.806 max(relative change in state) = 0.28996
n_iter = 6 J = 28.582 max(relative change in state) = 0.10351
n_iter = 7 J = 28.549 max(relative change in state) = 0.21536E-01
n_iter = 8 J = 28.552 max(relative change in state) = 0.13003
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 554 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 555 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 555 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 122.41 max(relative change in state) = -
n_iter = 2 J = 101.00 max(relative change in state) = 0.77322
n_iter = 3 J = 62.070 max(relative change in state) = 3.0976
n_iter = 4 J = 61.590 max(relative change in state) = 0.29787
n_iter = 5 J = 61.331 max(relative change in state) = 0.25641
n_iter = 6 J = 61.204 max(relative change in state) = 0.60825E-01
n_iter = 7 J = 61.149 max(relative change in state) = 0.36058E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 555 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 556 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 556 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 126.57 max(relative change in state) = -
n_iter = 2 J = 103.98 max(relative change in state) = 0.68983
n_iter = 3 J = 59.157 max(relative change in state) = 2.8225
n_iter = 4 J = 57.293 max(relative change in state) = 0.31077
n_iter = 5 J = 63.567 max(relative change in state) = 0.69761
n_iter = 6 J = 56.811 max(relative change in state) = 0.59880
n_iter = 7 J = 56.713 max(relative change in state) = 0.24414E-01
n_iter = 8 J = 56.538 max(relative change in state) = 0.19860
n_iter = 9 J = 56.489 max(relative change in state) = 0.38266E-01
n_iter = 10 J = 56.434 max(relative change in state) = 0.48869E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 556 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 557 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 557 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 246.38 max(relative change in state) = -
n_iter = 2 J = 124.86 max(relative change in state) = 4.7282
n_iter = 3 J = 105.77 max(relative change in state) = 1.5158
n_iter = 4 J = 102.49 max(relative change in state) = 0.89634
n_iter = 5 J = 104.36 max(relative change in state) = 0.87539
n_iter = 6 J = 101.59 max(relative change in state) = 0.49901
n_iter = 7 J = 101.47 max(relative change in state) = 0.28708E-01
n_iter = 8 J = 101.31 max(relative change in state) = 0.34151
n_iter = 9 J = 101.18 max(relative change in state) = 0.36817
n_iter = 10 J = 101.03 max(relative change in state) = 0.12084
n_iter = 11 J = 100.97 max(relative change in state) = 0.22041
n_iter = 12 J = 100.91 max(relative change in state) = 0.54520E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 557 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 558 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 558 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 105.48 max(relative change in state) = -
n_iter = 2 J = 89.081 max(relative change in state) = 0.78422
n_iter = 3 J = 71.881 max(relative change in state) = 1.8370
n_iter = 4 J = 75.808 max(relative change in state) = 1.6364
n_iter = 5 J = 71.241 max(relative change in state) = 1.2788
n_iter = 6 J = 71.005 max(relative change in state) = 0.78462E-01
n_iter = 7 J = 70.561 max(relative change in state) = 0.45071
n_iter = 8 J = 70.318 max(relative change in state) = 0.35318
n_iter = 9 J = 70.260 max(relative change in state) = 0.47228E-01
n_iter = 10 J = 70.210 max(relative change in state) = 0.75866E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 558 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 559 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 559 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 97.682 max(relative change in state) = -
n_iter = 2 J = 81.619 max(relative change in state) = 0.57455
n_iter = 3 J = 60.076 max(relative change in state) = 1.5611
n_iter = 4 J = 60.555 max(relative change in state) = 1.2221
n_iter = 5 J = 59.069 max(relative change in state) = 0.93466
n_iter = 6 J = 58.957 max(relative change in state) = 0.16066
n_iter = 7 J = 58.921 max(relative change in state) = 0.65153E-01
n_iter = 8 J = 58.818 max(relative change in state) = 0.83922E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 559 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 560 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 560 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 59.762 max(relative change in state) = -
n_iter = 2 J = 48.854 max(relative change in state) = 0.46813
n_iter = 3 J = 22.738 max(relative change in state) = 2.2640
n_iter = 4 J = 21.852 max(relative change in state) = 0.30010
n_iter = 5 J = 24.124 max(relative change in state) = 0.59229
n_iter = 6 J = 21.580 max(relative change in state) = 0.49159
n_iter = 7 J = 21.523 max(relative change in state) = 0.32110E-01
n_iter = 8 J = 21.410 max(relative change in state) = 0.16479
n_iter = 9 J = 21.408 max(relative change in state) = 0.58304E-01
n_iter = 10 J = 21.401 max(relative change in state) = 0.16690E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 560 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 561 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 561 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 47.443 max(relative change in state) = -
n_iter = 2 J = 39.305 max(relative change in state) = 0.54075
n_iter = 3 J = 28.459 max(relative change in state) = 1.4841
n_iter = 4 J = 28.757 max(relative change in state) = 0.74497
n_iter = 5 J = 27.899 max(relative change in state) = 0.42236
n_iter = 6 J = 27.808 max(relative change in state) = 0.13211
n_iter = 7 J = 27.733 max(relative change in state) = 0.14657
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 561 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 562 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 562 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 102.56 max(relative change in state) = -
n_iter = 2 J = 84.162 max(relative change in state) = 0.53579
n_iter = 3 J = 39.076 max(relative change in state) = 2.6103
n_iter = 4 J = 36.709 max(relative change in state) = 0.49713
n_iter = 5 J = 39.491 max(relative change in state) = 1.1119
n_iter = 6 J = 36.240 max(relative change in state) = 0.79294
n_iter = 7 J = 36.155 max(relative change in state) = 0.23939E-01
n_iter = 8 J = 35.961 max(relative change in state) = 0.18230
n_iter = 9 J = 36.150 max(relative change in state) = 0.24823
n_iter = 10 J = 35.884 max(relative change in state) = 0.14764
n_iter = 11 J = 35.836 max(relative change in state) = 0.35705E-01
n_iter = 12 J = 35.863 max(relative change in state) = 0.17837
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 562 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 563 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 563 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 160.67 max(relative change in state) = -
n_iter = 2 J = 109.33 max(relative change in state) = 2.2607
n_iter = 3 J = 88.677 max(relative change in state) = 1.7697
n_iter = 4 J = 86.655 max(relative change in state) = 0.85887
n_iter = 5 J = 85.360 max(relative change in state) = 0.67196
n_iter = 6 J = 85.029 max(relative change in state) = 0.52989E-01
n_iter = 7 J = 84.915 max(relative change in state) = 0.75119E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 563 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 564 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 564 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 70.022 max(relative change in state) = -
n_iter = 2 J = 58.157 max(relative change in state) = 0.56915
n_iter = 3 J = 42.602 max(relative change in state) = 1.2157
n_iter = 4 J = 41.644 max(relative change in state) = 0.33099
n_iter = 5 J = 41.145 max(relative change in state) = 0.21675
n_iter = 6 J = 41.069 max(relative change in state) = 0.44810E-01
n_iter = 7 J = 41.017 max(relative change in state) = 0.50543E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 564 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 565 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 565 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 65.824 max(relative change in state) = -
n_iter = 2 J = 54.532 max(relative change in state) = 0.68324
n_iter = 3 J = 38.431 max(relative change in state) = 2.4424
n_iter = 4 J = 38.726 max(relative change in state) = 0.89050
n_iter = 5 J = 37.526 max(relative change in state) = 0.52440
n_iter = 6 J = 37.382 max(relative change in state) = 0.18738
n_iter = 7 J = 37.392 max(relative change in state) = 0.32374
n_iter = 8 J = 37.273 max(relative change in state) = 0.20506
n_iter = 9 J = 37.212 max(relative change in state) = 0.12668
n_iter = 10 J = 37.106 max(relative change in state) = 0.65296E-01
n_iter = 11 J = 37.036 max(relative change in state) = 0.26209
n_iter = 12 J = 36.970 max(relative change in state) = 0.70814E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 565 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 566 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 566 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 324.44 max(relative change in state) = -
n_iter = 2 J = 209.61 max(relative change in state) = 7.9579
n_iter = 3 J = 162.40 max(relative change in state) = 2.6429
n_iter = 4 J = 157.76 max(relative change in state) = 0.44712
n_iter = 5 J = 161.45 max(relative change in state) = 1.8367
n_iter = 6 J = 155.16 max(relative change in state) = 1.0657
n_iter = 7 J = 154.53 max(relative change in state) = 0.39942
n_iter = 8 J = 154.36 max(relative change in state) = 0.19753
n_iter = 9 J = 154.16 max(relative change in state) = 0.15028
n_iter = 10 J = 153.83 max(relative change in state) = 0.22086
n_iter = 11 J = 153.71 max(relative change in state) = 0.11415
n_iter = 12 J = 153.54 max(relative change in state) = 0.27206E-01
n_iter = 13 J = 153.41 max(relative change in state) = 0.70557E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 566 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 567 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 567 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 585.21 max(relative change in state) = -
n_iter = 2 J = 1302.6 max(relative change in state) = 19.447
n_iter = 3 J = 442.57 max(relative change in state) = 14.398
n_iter = 4 J = 439.90 max(relative change in state) = 0.29232
n_iter = 5 J = 441.95 max(relative change in state) = 1.4291
n_iter = 6 J = 437.95 max(relative change in state) = 0.91727
n_iter = 7 J = 437.76 max(relative change in state) = 0.23574
n_iter = 8 J = 437.65 max(relative change in state) = 0.16373
n_iter = 9 J = 437.52 max(relative change in state) = 0.81654E-01
n_iter = 10 J = 437.45 max(relative change in state) = 0.39054
n_iter = 11 J = 437.28 max(relative change in state) = 0.19684
n_iter = 12 J = 437.23 max(relative change in state) = 0.15046
n_iter = 13 J = 437.19 max(relative change in state) = 0.26527E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 567 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 568 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 568 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 79.627 max(relative change in state) = -
n_iter = 2 J = 68.406 max(relative change in state) = 1.2788
n_iter = 3 J = 62.336 max(relative change in state) = 1.0034
n_iter = 4 J = 62.114 max(relative change in state) = 0.48325
n_iter = 5 J = 62.695 max(relative change in state) = 0.32127
n_iter = 6 J = 61.887 max(relative change in state) = 0.21986
n_iter = 7 J = 61.858 max(relative change in state) = 0.17663E-01
n_iter = 8 J = 61.724 max(relative change in state) = 0.24730
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 568 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 569 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 569 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 84.184 max(relative change in state) = -
n_iter = 2 J = 70.175 max(relative change in state) = 0.61714
n_iter = 3 J = 51.883 max(relative change in state) = 1.3758
n_iter = 4 J = 50.943 max(relative change in state) = 0.26238
n_iter = 5 J = 51.803 max(relative change in state) = 0.55414
n_iter = 6 J = 50.690 max(relative change in state) = 0.35100
n_iter = 7 J = 50.639 max(relative change in state) = 0.25554E-01
n_iter = 8 J = 50.670 max(relative change in state) = 0.25076
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 569 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 570 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 570 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 81.717 max(relative change in state) = -
n_iter = 2 J = 67.218 max(relative change in state) = 0.50521
n_iter = 3 J = 41.313 max(relative change in state) = 1.7210
n_iter = 4 J = 40.562 max(relative change in state) = 0.52795
n_iter = 5 J = 40.725 max(relative change in state) = 0.15306
n_iter = 6 J = 40.248 max(relative change in state) = 0.62996E-01
n_iter = 7 J = 40.203 max(relative change in state) = 0.25089E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 570 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 571 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 571 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 128.93 max(relative change in state) = -
n_iter = 2 J = 105.86 max(relative change in state) = 0.78823
n_iter = 3 J = 63.665 max(relative change in state) = 3.0372
n_iter = 4 J = 63.010 max(relative change in state) = 0.55344
n_iter = 5 J = 62.584 max(relative change in state) = 0.50687
n_iter = 6 J = 62.559 max(relative change in state) = 0.27312E-01
n_iter = 7 J = 62.527 max(relative change in state) = 0.71721E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 571 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 572 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 572 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 240.90 max(relative change in state) = -
n_iter = 2 J = 408.09 max(relative change in state) = 7.9688
n_iter = 3 J = 202.20 max(relative change in state) = 6.1438
n_iter = 4 J = 202.61 max(relative change in state) = 0.79504
n_iter = 5 J = 200.85 max(relative change in state) = 0.42096
n_iter = 6 J = 200.59 max(relative change in state) = 0.15986
n_iter = 7 J = 200.36 max(relative change in state) = 0.15278
n_iter = 8 J = 199.86 max(relative change in state) = 0.22688
n_iter = 9 J = 199.26 max(relative change in state) = 0.36908
n_iter = 10 J = 199.03 max(relative change in state) = 0.31894
n_iter = 11 J = 198.98 max(relative change in state) = 0.54802E-01
n_iter = 12 J = 198.91 max(relative change in state) = 0.10494
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 572 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 573 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 573 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 573 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 574 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 574 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 574 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 575 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 575 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 175.72 max(relative change in state) = -
n_iter = 2 J = 147.58 max(relative change in state) = 3.4742
n_iter = 3 J = 133.65 max(relative change in state) = 1.4495
n_iter = 4 J = 132.81 max(relative change in state) = 0.27687
n_iter = 5 J = 132.11 max(relative change in state) = 0.12492
n_iter = 6 J = 131.88 max(relative change in state) = 0.14732
n_iter = 7 J = 131.54 max(relative change in state) = 0.16328
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 575 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 576 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 576 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 73.668 max(relative change in state) = -
n_iter = 2 J = 60.910 max(relative change in state) = 0.51506
n_iter = 3 J = 42.705 max(relative change in state) = 1.4895
n_iter = 4 J = 42.017 max(relative change in state) = 0.53246
n_iter = 5 J = 41.221 max(relative change in state) = 0.21220
n_iter = 6 J = 41.058 max(relative change in state) = 0.20538
n_iter = 7 J = 40.985 max(relative change in state) = 0.10898
n_iter = 8 J = 40.919 max(relative change in state) = 0.43690E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 576 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 577 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 577 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 117.43 max(relative change in state) = -
n_iter = 2 J = 97.969 max(relative change in state) = 0.86559
n_iter = 3 J = 79.585 max(relative change in state) = 2.3418
n_iter = 4 J = 73.163 max(relative change in state) = 0.75797
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 577 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 578 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 578 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 111.15 max(relative change in state) = -
n_iter = 2 J = 92.703 max(relative change in state) = 1.0126
n_iter = 3 J = 72.744 max(relative change in state) = 2.3569
n_iter = 4 J = 72.122 max(relative change in state) = 0.64993
n_iter = 5 J = 71.350 max(relative change in state) = 0.37676
n_iter = 6 J = 71.250 max(relative change in state) = 0.14638
n_iter = 7 J = 71.141 max(relative change in state) = 0.13664
n_iter = 8 J = 71.058 max(relative change in state) = 0.50457E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 578 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 579 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 579 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 93.744 max(relative change in state) = -
n_iter = 2 J = 78.890 max(relative change in state) = 0.64930
n_iter = 3 J = 60.510 max(relative change in state) = 2.1080
n_iter = 4 J = 59.806 max(relative change in state) = 0.44855
n_iter = 5 J = 59.693 max(relative change in state) = 0.23192
n_iter = 6 J = 59.431 max(relative change in state) = 0.61938E-01
n_iter = 7 J = 59.333 max(relative change in state) = 0.71355E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 579 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 580 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 580 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 51.326 max(relative change in state) = -
n_iter = 2 J = 42.630 max(relative change in state) = 0.46053
n_iter = 3 J = 31.146 max(relative change in state) = 1.2566
n_iter = 4 J = 33.549 max(relative change in state) = 1.2817
n_iter = 5 J = 30.526 max(relative change in state) = 0.93773
n_iter = 6 J = 30.364 max(relative change in state) = 0.80623E-01
n_iter = 7 J = 29.862 max(relative change in state) = 0.33543
n_iter = 8 J = 29.670 max(relative change in state) = 0.20768
n_iter = 9 J = 29.590 max(relative change in state) = 0.71744E-01
n_iter = 10 J = 29.528 max(relative change in state) = 0.32405E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 580 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 581 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 581 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 34.052 max(relative change in state) = -
n_iter = 2 J = 28.045 max(relative change in state) = 0.37548
n_iter = 3 J = 17.627 max(relative change in state) = 1.2803
n_iter = 4 J = 17.225 max(relative change in state) = 0.17441
n_iter = 5 J = 17.097 max(relative change in state) = 0.14276
n_iter = 6 J = 17.030 max(relative change in state) = 0.49857E-01
n_iter = 7 J = 17.020 max(relative change in state) = 0.13522E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 581 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 582 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 582 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 53.440 max(relative change in state) = -
n_iter = 2 J = 44.970 max(relative change in state) = 0.50781
n_iter = 3 J = 36.399 max(relative change in state) = 1.3320
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 582 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 583 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 583 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 52.279 max(relative change in state) = -
n_iter = 2 J = 43.198 max(relative change in state) = 0.44317
n_iter = 3 J = 30.251 max(relative change in state) = 1.5294
n_iter = 4 J = 31.876 max(relative change in state) = 0.81521
n_iter = 5 J = 30.105 max(relative change in state) = 0.66347
n_iter = 6 J = 30.074 max(relative change in state) = 0.21866E-01
n_iter = 7 J = 29.981 max(relative change in state) = 0.10212
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 583 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 584 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 584 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 118.44 max(relative change in state) = -
n_iter = 2 J = 97.899 max(relative change in state) = 0.68739
n_iter = 3 J = 68.610 max(relative change in state) = 1.9646
n_iter = 4 J = 66.049 max(relative change in state) = 0.35444
n_iter = 5 J = 66.567 max(relative change in state) = 1.1645
n_iter = 6 J = 65.235 max(relative change in state) = 0.86552
n_iter = 7 J = 65.123 max(relative change in state) = 0.16856
n_iter = 8 J = 65.071 max(relative change in state) = 0.13908
n_iter = 9 J = 64.952 max(relative change in state) = 0.86263E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 584 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 585 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 585 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 55.475 max(relative change in state) = -
n_iter = 2 J = 45.974 max(relative change in state) = 0.63428
n_iter = 3 J = 33.486 max(relative change in state) = 1.4833
n_iter = 4 J = 33.796 max(relative change in state) = 0.76644
n_iter = 5 J = 32.730 max(relative change in state) = 0.45315
n_iter = 6 J = 32.654 max(relative change in state) = 0.13832
n_iter = 7 J = 32.605 max(relative change in state) = 0.11276
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 585 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 586 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 586 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 78.093 max(relative change in state) = -
n_iter = 2 J = 66.844 max(relative change in state) = 0.87174
n_iter = 3 J = 54.475 max(relative change in state) = 2.1700
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 586 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 587 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 587 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 587 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 588 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 588 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 45.388 max(relative change in state) = -
n_iter = 2 J = 37.699 max(relative change in state) = 0.57629
n_iter = 3 J = 28.612 max(relative change in state) = 1.1918
n_iter = 4 J = 29.188 max(relative change in state) = 0.98617
n_iter = 5 J = 27.813 max(relative change in state) = 0.60159
n_iter = 6 J = 27.699 max(relative change in state) = 0.15732
n_iter = 7 J = 27.566 max(relative change in state) = 0.18942
n_iter = 8 J = 27.487 max(relative change in state) = 0.11292
n_iter = 9 J = 27.264 max(relative change in state) = 0.26590
n_iter = 10 J = 27.181 max(relative change in state) = 0.84958E-01
n_iter = 11 J = 27.146 max(relative change in state) = 0.39282E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 588 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 589 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 589 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 161.53 max(relative change in state) = -
n_iter = 2 J = 122.94 max(relative change in state) = 2.6341
n_iter = 3 J = 118.13 max(relative change in state) = 0.56763
n_iter = 4 J = 125.14 max(relative change in state) = 2.0869
n_iter = 5 J = 117.37 max(relative change in state) = 1.6074
n_iter = 6 J = 117.23 max(relative change in state) = 0.92642E-01
n_iter = 7 J = 116.87 max(relative change in state) = 0.29405
n_iter = 8 J = 116.79 max(relative change in state) = 0.19734
n_iter = 9 J = 116.77 max(relative change in state) = 0.73633E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 589 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 590 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 590 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 108.57 max(relative change in state) = -
n_iter = 2 J = 90.853 max(relative change in state) = 0.86472
n_iter = 3 J = 73.021 max(relative change in state) = 1.2945
n_iter = 4 J = 74.616 max(relative change in state) = 1.2812
n_iter = 5 J = 71.803 max(relative change in state) = 0.83294
n_iter = 6 J = 71.681 max(relative change in state) = 0.13438
n_iter = 7 J = 71.533 max(relative change in state) = 0.23312
n_iter = 8 J = 71.413 max(relative change in state) = 0.61255E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 590 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 591 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 591 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 42.861 max(relative change in state) = -
n_iter = 2 J = 35.332 max(relative change in state) = 0.36544
n_iter = 3 J = 22.386 max(relative change in state) = 1.7020
n_iter = 4 J = 22.668 max(relative change in state) = 0.58124
n_iter = 5 J = 21.975 max(relative change in state) = 0.35588
n_iter = 6 J = 21.926 max(relative change in state) = 0.92874E-01
n_iter = 7 J = 21.892 max(relative change in state) = 0.97899E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 591 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 592 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 592 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 173.72 max(relative change in state) = -
n_iter = 2 J = 122.05 max(relative change in state) = 3.9040
n_iter = 3 J = 117.71 max(relative change in state) = 0.83120
n_iter = 4 J = 121.34 max(relative change in state) = 1.5960
n_iter = 5 J = 117.04 max(relative change in state) = 1.1207
n_iter = 6 J = 116.90 max(relative change in state) = 0.36230E-01
n_iter = 7 J = 116.23 max(relative change in state) = 0.44347
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 592 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 593 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 593 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 305.76 max(relative change in state) = -
n_iter = 2 J = 198.46 max(relative change in state) = 6.1051
n_iter = 3 J = 156.46 max(relative change in state) = 2.3914
n_iter = 4 J = 152.16 max(relative change in state) = 0.91071
n_iter = 5 J = 149.42 max(relative change in state) = 0.51837
n_iter = 6 J = 148.58 max(relative change in state) = 0.23627
n_iter = 7 J = 147.27 max(relative change in state) = 0.34420
n_iter = 8 J = 146.63 max(relative change in state) = 0.37799
n_iter = 9 J = 146.52 max(relative change in state) = 0.12040
n_iter = 10 J = 146.41 max(relative change in state) = 0.10720
n_iter = 11 J = 146.37 max(relative change in state) = 0.79661E-01
n_iter = 12 J = 146.32 max(relative change in state) = 0.45875E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 593 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 594 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 594 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 15.934 max(relative change in state) = -
n_iter = 2 J = 13.543 max(relative change in state) = 0.58697
n_iter = 3 J = 12.094 max(relative change in state) = 0.66027
n_iter = 4 J = 12.225 max(relative change in state) = 0.34384
n_iter = 5 J = 11.872 max(relative change in state) = 0.23936
n_iter = 6 J = 11.863 max(relative change in state) = 0.47367E-01
n_iter = 7 J = 11.858 max(relative change in state) = 0.39243E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 594 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 595 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 595 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 205.71 max(relative change in state) = -
n_iter = 2 J = 119.12 max(relative change in state) = 4.3029
n_iter = 3 J = 112.30 max(relative change in state) = 0.72173
n_iter = 4 J = 112.70 max(relative change in state) = 1.1428
n_iter = 5 J = 108.83 max(relative change in state) = 0.72833
n_iter = 6 J = 108.64 max(relative change in state) = 0.22802
n_iter = 7 J = 108.54 max(relative change in state) = 0.14089
n_iter = 8 J = 108.31 max(relative change in state) = 0.14143
n_iter = 9 J = 108.07 max(relative change in state) = 0.21939
n_iter = 10 J = 107.95 max(relative change in state) = 0.47973E-01
n_iter = 11 J = 107.84 max(relative change in state) = 0.64054E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 595 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 596 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 596 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 201.74 max(relative change in state) = -
n_iter = 2 J = 123.05 max(relative change in state) = 3.7760
n_iter = 3 J = 129.19 max(relative change in state) = 2.5767
n_iter = 4 J = 117.52 max(relative change in state) = 0.99037
n_iter = 5 J = 120.06 max(relative change in state) = 1.2944
n_iter = 6 J = 114.61 max(relative change in state) = 0.89840
n_iter = 7 J = 113.73 max(relative change in state) = 0.23126
n_iter = 8 J = 119.12 max(relative change in state) = 1.4789
n_iter = 9 J = 111.93 max(relative change in state) = 0.72520
n_iter = 10 J = 113.28 max(relative change in state) = 0.12580
n_iter = 11 J = 112.11 max(relative change in state) = 0.93174E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 596 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 597 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 597 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 81.119 max(relative change in state) = -
n_iter = 2 J = 66.961 max(relative change in state) = 0.61449
n_iter = 3 J = 45.684 max(relative change in state) = 2.4783
n_iter = 4 J = 65.050 max(relative change in state) = 3.4758
n_iter = 5 J = 45.173 max(relative change in state) = 3.0068
n_iter = 6 J = 45.080 max(relative change in state) = 0.31217E-01
n_iter = 7 J = 44.824 max(relative change in state) = 0.23277
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 597 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 598 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 598 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 bending angle data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 109.49 max(relative change in state) = -
n_iter = 2 J = 91.233 max(relative change in state) = 0.83057
n_iter = 3 J = 72.926 max(relative change in state) = 1.3956
n_iter = 4 J = 73.410 max(relative change in state) = 1.1603
n_iter = 5 J = 71.198 max(relative change in state) = 0.70415
n_iter = 6 J = 71.031 max(relative change in state) = 0.23669
n_iter = 7 J = 70.930 max(relative change in state) = 0.15659
n_iter = 8 J = 70.759 max(relative change in state) = 0.12337
n_iter = 9 J = 70.475 max(relative change in state) = 0.34154
n_iter = 10 J = 70.372 max(relative change in state) = 0.16349
n_iter = 11 J = 70.323 max(relative change in state) = 0.79156E-01
n_iter = 12 J = 70.309 max(relative change in state) = 0.37401E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 598 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 599 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 599 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 107.89 max(relative change in state) = -
n_iter = 2 J = 90.246 max(relative change in state) = 0.72758
n_iter = 3 J = 69.582 max(relative change in state) = 1.7621
n_iter = 4 J = 69.894 max(relative change in state) = 1.1474
n_iter = 5 J = 67.727 max(relative change in state) = 0.94764
n_iter = 6 J = 67.541 max(relative change in state) = 0.69101E-01
n_iter = 7 J = 67.433 max(relative change in state) = 0.70987E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 599 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 600 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 600 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 77.563 max(relative change in state) = -
n_iter = 2 J = 64.316 max(relative change in state) = 0.60043
n_iter = 3 J = 45.900 max(relative change in state) = 2.0294
n_iter = 4 J = 60.793 max(relative change in state) = 2.7308
n_iter = 5 J = 45.341 max(relative change in state) = 2.2915
n_iter = 6 J = 45.218 max(relative change in state) = 0.27704E-01
n_iter = 7 J = 44.677 max(relative change in state) = 0.42007
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 600 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 601 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 601 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 38.358 max(relative change in state) = -
n_iter = 2 J = 31.856 max(relative change in state) = 0.43926
n_iter = 3 J = 24.356 max(relative change in state) = 1.0055
n_iter = 4 J = 24.318 max(relative change in state) = 0.40693
n_iter = 5 J = 23.951 max(relative change in state) = 0.19607
n_iter = 6 J = 23.885 max(relative change in state) = 0.12943
n_iter = 7 J = 23.855 max(relative change in state) = 0.66292E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 601 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 602 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 602 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 76.969 max(relative change in state) = -
n_iter = 2 J = 65.283 max(relative change in state) = 0.68571
n_iter = 3 J = 55.410 max(relative change in state) = 1.2878
n_iter = 4 J = 54.736 max(relative change in state) = 0.55899
n_iter = 5 J = 53.793 max(relative change in state) = 0.38782
n_iter = 6 J = 53.706 max(relative change in state) = 0.34239E-01
n_iter = 7 J = 53.514 max(relative change in state) = 0.11244
n_iter = 8 J = 53.261 max(relative change in state) = 0.18905
n_iter = 9 J = 53.120 max(relative change in state) = 0.47098
n_iter = 10 J = 52.965 max(relative change in state) = 0.23789
n_iter = 11 J = 52.914 max(relative change in state) = 0.13646
n_iter = 12 J = 52.893 max(relative change in state) = 0.23428E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 602 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 603 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 603 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 89.377 max(relative change in state) = -
n_iter = 2 J = 73.487 max(relative change in state) = 0.40915
n_iter = 3 J = 42.616 max(relative change in state) = 1.9019
n_iter = 4 J = 52.216 max(relative change in state) = 2.3827
n_iter = 5 J = 42.318 max(relative change in state) = 2.0307
n_iter = 6 J = 42.246 max(relative change in state) = 0.21162E-01
n_iter = 7 J = 42.172 max(relative change in state) = 0.28781
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 603 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 604 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 604 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 89.368 max(relative change in state) = -
n_iter = 2 J = 74.443 max(relative change in state) = 0.57439
n_iter = 3 J = 55.001 max(relative change in state) = 1.4726
n_iter = 4 J = 52.536 max(relative change in state) = 0.48534
n_iter = 5 J = 58.741 max(relative change in state) = 1.3596
n_iter = 6 J = 52.162 max(relative change in state) = 1.1090
n_iter = 7 J = 52.083 max(relative change in state) = 0.16110E-01
n_iter = 8 J = 51.810 max(relative change in state) = 0.20699
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 604 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 605 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 605 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 60.947 max(relative change in state) = -
n_iter = 2 J = 50.758 max(relative change in state) = 0.59143
n_iter = 3 J = 38.214 max(relative change in state) = 1.1189
n_iter = 4 J = 36.954 max(relative change in state) = 0.48283
n_iter = 5 J = 36.525 max(relative change in state) = 0.41726
n_iter = 6 J = 36.224 max(relative change in state) = 0.74650E-01
n_iter = 7 J = 36.154 max(relative change in state) = 0.37387E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 605 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 606 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 606 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 80.112 max(relative change in state) = -
n_iter = 2 J = 66.748 max(relative change in state) = 0.52516
n_iter = 3 J = 50.490 max(relative change in state) = 1.3539
n_iter = 4 J = 49.449 max(relative change in state) = 0.36726
n_iter = 5 J = 49.186 max(relative change in state) = 0.37321
n_iter = 6 J = 48.788 max(relative change in state) = 0.77301E-01
n_iter = 7 J = 48.700 max(relative change in state) = 0.41279E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 606 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 607 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 607 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 166.80 max(relative change in state) = -
n_iter = 2 J = 103.47 max(relative change in state) = 1.9995
n_iter = 3 J = 76.228 max(relative change in state) = 2.6804
n_iter = 4 J = 76.487 max(relative change in state) = 0.83906
n_iter = 5 J = 74.614 max(relative change in state) = 0.50484
n_iter = 6 J = 74.438 max(relative change in state) = 0.17757
n_iter = 7 J = 74.335 max(relative change in state) = 0.17572
n_iter = 8 J = 74.207 max(relative change in state) = 0.84789E-01
n_iter = 9 J = 73.977 max(relative change in state) = 0.20373
n_iter = 10 J = 73.846 max(relative change in state) = 0.84503E-01
n_iter = 11 J = 73.764 max(relative change in state) = 0.85727E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 607 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 608 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 608 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 73.306 max(relative change in state) = -
n_iter = 2 J = 60.154 max(relative change in state) = 0.46276
n_iter = 3 J = 33.985 max(relative change in state) = 2.0045
n_iter = 4 J = 33.244 max(relative change in state) = 0.40295
n_iter = 5 J = 32.637 max(relative change in state) = 0.20609
n_iter = 6 J = 32.525 max(relative change in state) = 0.18963
n_iter = 7 J = 32.454 max(relative change in state) = 0.49081E-01
n_iter = 8 J = 32.421 max(relative change in state) = 0.13651
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 608 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 609 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 609 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 85.046 max(relative change in state) = -
n_iter = 2 J = 70.412 max(relative change in state) = 0.62999
n_iter = 3 J = 48.543 max(relative change in state) = 2.0885
n_iter = 4 J = 47.578 max(relative change in state) = 0.34338
n_iter = 5 J = 48.118 max(relative change in state) = 0.38519
n_iter = 6 J = 47.264 max(relative change in state) = 0.23119
n_iter = 7 J = 47.220 max(relative change in state) = 0.21016E-01
n_iter = 8 J = 47.175 max(relative change in state) = 0.17809
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 609 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 610 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 610 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 77.262 max(relative change in state) = -
n_iter = 2 J = 63.728 max(relative change in state) = 0.73114
n_iter = 3 J = 43.105 max(relative change in state) = 2.3475
n_iter = 4 J = 42.828 max(relative change in state) = 0.46404
n_iter = 5 J = 42.311 max(relative change in state) = 0.20229
n_iter = 6 J = 42.202 max(relative change in state) = 0.18114
n_iter = 7 J = 42.162 max(relative change in state) = 0.86253E-01
n_iter = 8 J = 42.108 max(relative change in state) = 0.54485E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 610 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 611 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 611 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 27.366 max(relative change in state) = -
n_iter = 2 J = 22.602 max(relative change in state) = 0.31612
n_iter = 3 J = 14.793 max(relative change in state) = 0.98444
n_iter = 4 J = 15.193 max(relative change in state) = 0.63604
n_iter = 5 J = 14.468 max(relative change in state) = 0.40027
n_iter = 6 J = 14.399 max(relative change in state) = 0.77962E-01
n_iter = 7 J = 14.271 max(relative change in state) = 0.18075
n_iter = 8 J = 14.168 max(relative change in state) = 0.52036E-01
n_iter = 9 J = 14.133 max(relative change in state) = 0.41529
n_iter = 10 J = 14.019 max(relative change in state) = 0.22669
n_iter = 11 J = 14.003 max(relative change in state) = 0.60789E-01
n_iter = 12 J = 13.994 max(relative change in state) = 0.18904E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 611 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 612 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 612 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 63.315 max(relative change in state) = -
n_iter = 2 J = 53.098 max(relative change in state) = 0.62869
n_iter = 3 J = 43.927 max(relative change in state) = 1.1890
n_iter = 4 J = 43.302 max(relative change in state) = 0.30452
n_iter = 5 J = 43.338 max(relative change in state) = 0.30484
n_iter = 6 J = 43.052 max(relative change in state) = 0.13030
n_iter = 7 J = 43.039 max(relative change in state) = 0.11832E-01
n_iter = 8 J = 43.025 max(relative change in state) = 0.86739E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 612 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 613 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 613 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 167.60 max(relative change in state) = -
n_iter = 2 J = 100.52 max(relative change in state) = 2.4073
n_iter = 3 J = 67.265 max(relative change in state) = 2.8532
n_iter = 4 J = 65.152 max(relative change in state) = 0.40466
n_iter = 5 J = 69.575 max(relative change in state) = 0.79972
n_iter = 6 J = 64.792 max(relative change in state) = 0.67634
n_iter = 7 J = 64.691 max(relative change in state) = 0.35105E-01
n_iter = 8 J = 64.400 max(relative change in state) = 0.27558
n_iter = 9 J = 64.343 max(relative change in state) = 0.53755E-01
n_iter = 10 J = 64.344 max(relative change in state) = 0.76818E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 613 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 614 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 614 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 242.20 max(relative change in state) = -
n_iter = 2 J = 306.67 max(relative change in state) = 6.2014
n_iter = 3 J = 188.70 max(relative change in state) = 4.0261
n_iter = 4 J = 188.58 max(relative change in state) = 1.0369
n_iter = 5 J = 187.28 max(relative change in state) = 0.49056
n_iter = 6 J = 187.03 max(relative change in state) = 0.31712
n_iter = 7 J = 186.90 max(relative change in state) = 0.15788
n_iter = 8 J = 186.53 max(relative change in state) = 0.14141
n_iter = 9 J = 186.13 max(relative change in state) = 0.37610
n_iter = 10 J = 186.11 max(relative change in state) = 0.78132E-01
n_iter = 11 J = 185.96 max(relative change in state) = 0.90802E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 614 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 615 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 615 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 109.01 max(relative change in state) = -
n_iter = 2 J = 89.559 max(relative change in state) = 0.67671
n_iter = 3 J = 56.344 max(relative change in state) = 2.3816
n_iter = 4 J = 52.663 max(relative change in state) = 0.66897
n_iter = 5 J = 52.618 max(relative change in state) = 0.76319
n_iter = 6 J = 51.046 max(relative change in state) = 0.26591
n_iter = 7 J = 50.938 max(relative change in state) = 0.38824E-01
n_iter = 8 J = 50.287 max(relative change in state) = 0.45174
n_iter = 9 J = 50.035 max(relative change in state) = 0.45557
n_iter = 10 J = 49.823 max(relative change in state) = 0.30593
n_iter = 11 J = 49.806 max(relative change in state) = 0.93966E-01
n_iter = 12 J = 49.800 max(relative change in state) = 0.23205E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 615 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 616 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 616 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 64.816 max(relative change in state) = -
n_iter = 2 J = 53.582 max(relative change in state) = 0.71247
n_iter = 3 J = 36.817 max(relative change in state) = 2.3996
n_iter = 4 J = 38.224 max(relative change in state) = 1.1127
n_iter = 5 J = 36.327 max(relative change in state) = 0.78408
n_iter = 6 J = 36.241 max(relative change in state) = 0.83097E-01
n_iter = 7 J = 36.047 max(relative change in state) = 0.24999
n_iter = 8 J = 35.938 max(relative change in state) = 0.92640E-01
n_iter = 9 J = 36.094 max(relative change in state) = 0.35604
n_iter = 10 J = 35.892 max(relative change in state) = 0.20015
n_iter = 11 J = 35.885 max(relative change in state) = 0.37103E-01
n_iter = 12 J = 35.875 max(relative change in state) = 0.59167E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 616 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 617 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 617 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 183.51 max(relative change in state) = -
n_iter = 2 J = 113.34 max(relative change in state) = 2.8552
n_iter = 3 J = 98.156 max(relative change in state) = 1.0011
n_iter = 4 J = 105.96 max(relative change in state) = 2.1464
n_iter = 5 J = 95.379 max(relative change in state) = 1.6000
n_iter = 6 J = 94.926 max(relative change in state) = 0.12180
n_iter = 7 J = 94.174 max(relative change in state) = 0.65313
n_iter = 8 J = 93.342 max(relative change in state) = 0.52119
n_iter = 9 J = 93.912 max(relative change in state) = 0.28742
n_iter = 10 J = 93.356 max(relative change in state) = 0.30403
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 617 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 618 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 618 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 187.71 max(relative change in state) = -
n_iter = 2 J = 138.44 max(relative change in state) = 3.8761
n_iter = 3 J = 125.89 max(relative change in state) = 1.2692
n_iter = 4 J = 124.21 max(relative change in state) = 0.28853
n_iter = 5 J = 124.70 max(relative change in state) = 0.38800
n_iter = 6 J = 123.59 max(relative change in state) = 0.23114
n_iter = 7 J = 123.55 max(relative change in state) = 0.16364E-01
n_iter = 8 J = 123.34 max(relative change in state) = 0.17633
n_iter = 9 J = 123.28 max(relative change in state) = 0.69259E-01
n_iter = 10 J = 123.35 max(relative change in state) = 0.75912E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 618 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 619 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 619 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 619 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 620 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 620 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 174.66 max(relative change in state) = -
n_iter = 2 J = 103.35 max(relative change in state) = 2.1374
n_iter = 3 J = 79.811 max(relative change in state) = 1.7495
n_iter = 4 J = 79.466 max(relative change in state) = 0.97091
n_iter = 5 J = 77.620 max(relative change in state) = 0.58050
n_iter = 6 J = 77.486 max(relative change in state) = 0.20364
n_iter = 7 J = 77.369 max(relative change in state) = 0.17842
n_iter = 8 J = 77.212 max(relative change in state) = 0.58862E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 620 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 621 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 621 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 73.563 max(relative change in state) = -
n_iter = 2 J = 60.547 max(relative change in state) = 0.59197
n_iter = 3 J = 37.086 max(relative change in state) = 1.9646
n_iter = 4 J = 38.276 max(relative change in state) = 1.0692
n_iter = 5 J = 36.173 max(relative change in state) = 0.70105
n_iter = 6 J = 35.974 max(relative change in state) = 0.14141
n_iter = 7 J = 35.537 max(relative change in state) = 0.30123
n_iter = 8 J = 35.326 max(relative change in state) = 0.52822E-01
n_iter = 9 J = 35.072 max(relative change in state) = 0.16072
n_iter = 10 J = 34.920 max(relative change in state) = 0.99328E-01
n_iter = 11 J = 34.975 max(relative change in state) = 0.13825
n_iter = 12 J = 34.864 max(relative change in state) = 0.68678E-01
n_iter = 13 J = 34.841 max(relative change in state) = 0.15873E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 621 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 622 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 622 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 27.146 max(relative change in state) = -
n_iter = 2 J = 22.482 max(relative change in state) = 0.42030
n_iter = 3 J = 16.008 max(relative change in state) = 0.92438
n_iter = 4 J = 17.310 max(relative change in state) = 0.95644
n_iter = 5 J = 15.823 max(relative change in state) = 0.73017
n_iter = 6 J = 15.781 max(relative change in state) = 0.31689E-01
n_iter = 7 J = 15.614 max(relative change in state) = 0.11323
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 622 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 623 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 623 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 90.359 max(relative change in state) = -
n_iter = 2 J = 75.092 max(relative change in state) = 0.74707
n_iter = 3 J = 56.025 max(relative change in state) = 2.1253
n_iter = 4 J = 55.398 max(relative change in state) = 0.57864
n_iter = 5 J = 54.569 max(relative change in state) = 0.36367
n_iter = 6 J = 54.520 max(relative change in state) = 0.96992E-01
n_iter = 7 J = 54.461 max(relative change in state) = 0.11323
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 623 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 624 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 624 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 94.144 max(relative change in state) = -
n_iter = 2 J = 86.031 max(relative change in state) = 1.5174
n_iter = 3 J = 83.610 max(relative change in state) = 0.36536
n_iter = 4 J = 84.808 max(relative change in state) = 1.0787
n_iter = 5 J = 82.705 max(relative change in state) = 0.70373
n_iter = 6 J = 82.644 max(relative change in state) = 0.97495E-01
n_iter = 7 J = 82.533 max(relative change in state) = 0.15970
n_iter = 8 J = 82.433 max(relative change in state) = 0.95471E-01
n_iter = 9 J = 82.467 max(relative change in state) = 0.15407
n_iter = 10 J = 82.374 max(relative change in state) = 0.49614E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 624 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
INFO (from ropp_1dvar_bangle): Reading observation data for profile 625 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_bangle): Reading background data for profile 625 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Bending angle values outside limits: [-1.00000E-04, 1.00000E-01] rad.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Bending angle values outside limits: [-1.00000E-04, 1.00000E-01] rad.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Bending angle values outside limits: [-1.00000E-04, 1.00000E-01] rad.
ERROR (from ropp_qc_genqc): Bending angle values outside limits: [-1.00000E-04, 1.00000E-01] rad.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criteria.
n_iter = 1 J = 96.607 max(relative change in state) = -
n_iter = 2 J = 80.364 max(relative change in state) = 0.68141
n_iter = 3 J = 61.457 max(relative change in state) = 2.2502
n_iter = 4 J = 61.022 max(relative change in state) = 0.39704
n_iter = 5 J = 60.314 max(relative change in state) = 0.25037
n_iter = 6 J = 60.279 max(relative change in state) = 0.86652E-01
n_iter = 7 J = 60.251 max(relative change in state) = 0.79511E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_bangle): Appending 1DVar retrieval for profile 625 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc.
IT_1DVAR_OP_RUN: Warning: (BA) Issue with at least one profile: (BA) (may be acceptable, but check to be sure) Running remote command: . ./.ropp_test gfortran_linux;
ROPP_testing/ropp_1dvar/tools/ropp_1dvar_bangle_gfortran_linux -y ROPP_testing/ropp_test_tmp/IT-FM-OP.nc -b ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc
--bg-corr ROPP_testing/ropp_1dvar/errors/ropp_bg_ecmwf_error_corr_L91.nc -o ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.1.nc
--------------------------------------------------------------------
--------------------------------------------------------------------
Running command / platform: . ./.ropp_test gfortran_linux; ROPP_testing/ropp_1dvar/tools/ropp_1dvar_refrac_gfortran_linux -y ROPP_testing/ropp_test_tmp/IT-FM-OP.nc -b ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc --bg-corr ROPP_testing/ropp_1dvar/errors/ropp_bg_ecmwf_error_corr_L91.nc -o ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc / vld189
--------------------------------------------------------------------
--------------------------------------------------------------------
---------------------------------------------------------------------
ROPP Refractivity 1D-Var
---------------------------------------------------------------------
INFO (from ropp_1dvar_refrac): Reading observation data for profile 1 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 1 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.909 max(relative change in state) = -
n_iter = 2 J = 60.755 max(relative change in state) = 1.7868
n_iter = 3 J = 59.073 max(relative change in state) = 0.90767
n_iter = 4 J = 64.554 max(relative change in state) = 1.6965
n_iter = 5 J = 59.033 max(relative change in state) = 1.5521
n_iter = 6 J = 59.028 max(relative change in state) = 0.63907E-02
n_iter = 7 J = 58.987 max(relative change in state) = 0.13850
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Writing 1DVar retrieval for profile 1 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 2 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 2 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.350 max(relative change in state) = -
n_iter = 2 J = 45.405 max(relative change in state) = 1.6950
n_iter = 3 J = 45.026 max(relative change in state) = 0.50539
n_iter = 4 J = 45.043 max(relative change in state) = 0.48657
n_iter = 5 J = 44.840 max(relative change in state) = 0.16581
n_iter = 6 J = 44.838 max(relative change in state) = 0.16386E-01
n_iter = 7 J = 44.832 max(relative change in state) = 0.59482E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 2 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 3 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 3 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 40.020 max(relative change in state) = -
n_iter = 2 J = 34.865 max(relative change in state) = 0.73431
n_iter = 3 J = 33.502 max(relative change in state) = 0.52631
n_iter = 4 J = 37.109 max(relative change in state) = 1.6251
n_iter = 5 J = 33.461 max(relative change in state) = 1.4962
n_iter = 6 J = 33.444 max(relative change in state) = 0.17136E-01
n_iter = 7 J = 33.738 max(relative change in state) = 0.29651
n_iter = 8 J = 33.426 max(relative change in state) = 0.27933
n_iter = 9 J = 33.413 max(relative change in state) = 0.13681E-01
n_iter = 10 J = 33.405 max(relative change in state) = 0.46047E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 3 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 4 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 4 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.522 max(relative change in state) = -
n_iter = 2 J = 36.941 max(relative change in state) = 0.87832
n_iter = 3 J = 36.247 max(relative change in state) = 0.61538
n_iter = 4 J = 37.565 max(relative change in state) = 1.0035
n_iter = 5 J = 36.215 max(relative change in state) = 0.92119
n_iter = 6 J = 36.194 max(relative change in state) = 0.17529E-01
n_iter = 7 J = 36.355 max(relative change in state) = 0.25928
n_iter = 8 J = 36.163 max(relative change in state) = 0.22823
n_iter = 9 J = 36.147 max(relative change in state) = 0.25110E-01
n_iter = 10 J = 36.136 max(relative change in state) = 0.11670
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 4 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 5 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 5 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 5 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 6 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 6 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 7.2753 max(relative change in state) = -
n_iter = 2 J = 6.1091 max(relative change in state) = 0.37588
n_iter = 3 J = 5.3728 max(relative change in state) = 0.61203
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 6 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 7 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 7 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 80.711 max(relative change in state) = -
n_iter = 2 J = 69.539 max(relative change in state) = 1.2352
n_iter = 3 J = 66.414 max(relative change in state) = 1.2820
n_iter = 4 J = 70.408 max(relative change in state) = 1.7410
n_iter = 5 J = 66.375 max(relative change in state) = 1.5914
n_iter = 6 J = 66.367 max(relative change in state) = 0.11031E-01
n_iter = 7 J = 66.331 max(relative change in state) = 0.19556
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 7 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 8 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 8 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.419 max(relative change in state) = -
n_iter = 2 J = 59.601 max(relative change in state) = 1.2912
n_iter = 3 J = 56.834 max(relative change in state) = 1.0628
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 8 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 9 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 9 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 9.0935 max(relative change in state) = -
n_iter = 2 J = 7.7300 max(relative change in state) = 0.43085
n_iter = 3 J = 7.1588 max(relative change in state) = 0.34853
n_iter = 4 J = 7.6275 max(relative change in state) = 0.51231
n_iter = 5 J = 7.1519 max(relative change in state) = 0.46086
n_iter = 6 J = 7.1498 max(relative change in state) = 0.57034E-02
n_iter = 7 J = 7.1443 max(relative change in state) = 0.12413
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 9 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 10 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 10 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.110 max(relative change in state) = -
n_iter = 2 J = 29.712 max(relative change in state) = 0.60192
n_iter = 3 J = 26.727 max(relative change in state) = 0.94931
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 10 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 11 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 11 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.888 max(relative change in state) = -
n_iter = 2 J = 14.965 max(relative change in state) = 0.36573
n_iter = 3 J = 12.830 max(relative change in state) = 0.73348
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 11 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 12 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 12 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 26.688 max(relative change in state) = -
n_iter = 2 J = 23.673 max(relative change in state) = 0.39734
n_iter = 3 J = 21.563 max(relative change in state) = 0.74527
n_iter = 4 J = 21.631 max(relative change in state) = 0.37036
n_iter = 5 J = 21.436 max(relative change in state) = 0.23841
n_iter = 6 J = 21.408 max(relative change in state) = 0.10489
n_iter = 7 J = 21.373 max(relative change in state) = 0.48697E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 12 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 13 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 13 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.711 max(relative change in state) = -
n_iter = 2 J = 45.645 max(relative change in state) = 0.85487
n_iter = 3 J = 43.198 max(relative change in state) = 1.1459
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 13 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 14 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 14 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 14.346 max(relative change in state) = -
n_iter = 2 J = 11.911 max(relative change in state) = 0.35842
n_iter = 3 J = 9.4784 max(relative change in state) = 0.73440
n_iter = 4 J = 9.4249 max(relative change in state) = 0.10934
n_iter = 5 J = 9.5101 max(relative change in state) = 0.13011
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 14 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 15 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 15 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.449 max(relative change in state) = -
n_iter = 2 J = 34.219 max(relative change in state) = 0.45714
n_iter = 3 J = 26.502 max(relative change in state) = 1.1563
n_iter = 4 J = 24.729 max(relative change in state) = 0.44133
n_iter = 5 J = 25.208 max(relative change in state) = 0.57151
n_iter = 6 J = 24.223 max(relative change in state) = 0.39438
n_iter = 7 J = 23.990 max(relative change in state) = 0.13500
n_iter = 8 J = 23.477 max(relative change in state) = 0.26865
n_iter = 9 J = 23.901 max(relative change in state) = 0.49521
n_iter = 10 J = 23.364 max(relative change in state) = 0.34933
n_iter = 11 J = 23.289 max(relative change in state) = 0.38074E-01
n_iter = 12 J = 23.116 max(relative change in state) = 0.19610
n_iter = 13 J = 23.063 max(relative change in state) = 0.13131
n_iter = 14 J = 22.944 max(relative change in state) = 0.42850E-01
n_iter = 15 J = 22.898 max(relative change in state) = 0.22473E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 15 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 16 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 16 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 327.00 max(relative change in state) = -
n_iter = 2 J = 288.12 max(relative change in state) = 2.9516
n_iter = 3 J = 300.26 max(relative change in state) = 1.1968
n_iter = 4 J = 286.48 max(relative change in state) = 1.5511
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 16 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 17 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 17 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 17 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 18 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 18 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.222 max(relative change in state) = -
n_iter = 2 J = 25.865 max(relative change in state) = 0.21996
n_iter = 3 J = 22.947 max(relative change in state) = 0.28405
n_iter = 4 J = 21.110 max(relative change in state) = 0.20695
n_iter = 5 J = 19.293 max(relative change in state) = 0.36879
n_iter = 6 J = 19.353 max(relative change in state) = 0.26967
n_iter = 7 J = 17.777 max(relative change in state) = 0.22417
n_iter = 8 J = 17.956 max(relative change in state) = 0.11390
n_iter = 9 J = 16.434 max(relative change in state) = 0.23416
n_iter = 10 J = 15.949 max(relative change in state) = 0.94329E-01
n_iter = 11 J = 16.204 max(relative change in state) = 0.28453
n_iter = 12 J = 15.056 max(relative change in state) = 0.24493
n_iter = 13 J = 14.605 max(relative change in state) = 0.17621
n_iter = 14 J = 14.409 max(relative change in state) = 0.58265E-01
n_iter = 15 J = 14.074 max(relative change in state) = 0.13793
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 18 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 19 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 19 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 129.35 max(relative change in state) = -
n_iter = 2 J = 109.97 max(relative change in state) = 0.45938
n_iter = 3 J = 92.662 max(relative change in state) = 0.77968
n_iter = 4 J = 70.586 max(relative change in state) = 1.6128
n_iter = 5 J = 78.569 max(relative change in state) = 2.4886
n_iter = 6 J = 61.045 max(relative change in state) = 1.0291
n_iter = 7 J = 59.265 max(relative change in state) = 0.30732
n_iter = 8 J = 58.555 max(relative change in state) = 0.11861
n_iter = 9 J = 58.228 max(relative change in state) = 0.63341E-01
n_iter = 10 J = 57.591 max(relative change in state) = 0.21758
n_iter = 11 J = 57.248 max(relative change in state) = 0.22844
n_iter = 12 J = 57.106 max(relative change in state) = 0.10666
n_iter = 13 J = 57.050 max(relative change in state) = 0.59979E-01
n_iter = 14 J = 57.036 max(relative change in state) = 0.87383E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 19 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 20 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 20 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 20 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 21 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 21 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 21 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 22 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 22 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 22 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 23 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 23 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 1310.3 max(relative change in state) = -
n_iter = 2 J = 6636.6 max(relative change in state) = 64.527
n_iter = 3 J = 1123.7 max(relative change in state) = 55.131
n_iter = 4 J = 1126.4 max(relative change in state) = 2.3723
n_iter = 5 J = 1119.6 max(relative change in state) = 1.3017
n_iter = 6 J = 1118.7 max(relative change in state) = 0.50634
n_iter = 7 J = 1118.1 max(relative change in state) = 0.39340
n_iter = 8 J = 1117.3 max(relative change in state) = 0.25090
n_iter = 9 J = 1115.2 max(relative change in state) = 0.44164
n_iter = 10 J = 1115.0 max(relative change in state) = 0.30393
n_iter = 11 J = 1114.4 max(relative change in state) = 0.61530E-01
n_iter = 12 J = 1114.3 max(relative change in state) = 0.11204
n_iter = 13 J = 1114.1 max(relative change in state) = 0.15060
n_iter = 14 J = 1114.0 max(relative change in state) = 0.21447
n_iter = 15 J = 1114.0 max(relative change in state) = 0.22905
n_iter = 16 J = 1113.9 max(relative change in state) = 0.12218
n_iter = 17 J = 1113.9 max(relative change in state) = 0.37884E-01
n_iter = 18 J = 1113.8 max(relative change in state) = 0.57363E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 23 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 24 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 24 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 24 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 25 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 25 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 68.095 max(relative change in state) = -
n_iter = 2 J = 58.121 max(relative change in state) = 0.95975
n_iter = 3 J = 53.359 max(relative change in state) = 0.97423
n_iter = 4 J = 55.282 max(relative change in state) = 1.1111
n_iter = 5 J = 53.196 max(relative change in state) = 0.88713
n_iter = 6 J = 53.147 max(relative change in state) = 0.41049E-01
n_iter = 7 J = 52.981 max(relative change in state) = 0.15735
n_iter = 8 J = 52.965 max(relative change in state) = 0.14407
n_iter = 9 J = 52.940 max(relative change in state) = 0.79691E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 25 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 26 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 26 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 154.72 max(relative change in state) = -
n_iter = 2 J = 162.72 max(relative change in state) = 4.3885
n_iter = 3 J = 139.17 max(relative change in state) = 2.4540
n_iter = 4 J = 139.31 max(relative change in state) = 0.46519
n_iter = 5 J = 139.09 max(relative change in state) = 0.31049
n_iter = 6 J = 139.07 max(relative change in state) = 0.53946E-01
n_iter = 7 J = 139.06 max(relative change in state) = 0.90518E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 26 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 27 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 27 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.083 max(relative change in state) = -
n_iter = 2 J = 28.928 max(relative change in state) = 0.95308
n_iter = 3 J = 28.237 max(relative change in state) = 0.47600
n_iter = 4 J = 31.019 max(relative change in state) = 1.1817
n_iter = 5 J = 28.184 max(relative change in state) = 1.0168
n_iter = 6 J = 28.180 max(relative change in state) = 0.67702E-02
n_iter = 7 J = 28.151 max(relative change in state) = 0.83612E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 27 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 28 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 28 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.916 max(relative change in state) = -
n_iter = 2 J = 79.595 max(relative change in state) = 1.0680
n_iter = 3 J = 72.860 max(relative change in state) = 1.1780
n_iter = 4 J = 76.128 max(relative change in state) = 1.3286
n_iter = 5 J = 72.744 max(relative change in state) = 1.1441
n_iter = 6 J = 72.706 max(relative change in state) = 0.17546E-01
n_iter = 7 J = 72.513 max(relative change in state) = 0.32369
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 28 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 29 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 29 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 315.76 max(relative change in state) = -
n_iter = 2 J = 857.66 max(relative change in state) = 20.295
n_iter = 3 J = 272.35 max(relative change in state) = 14.737
n_iter = 4 J = 299.67 max(relative change in state) = 4.1103
n_iter = 5 J = 272.16 max(relative change in state) = 3.7722
n_iter = 6 J = 272.14 max(relative change in state) = 0.10684E-01
n_iter = 7 J = 272.03 max(relative change in state) = 0.24469
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 29 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 30 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 30 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.390 max(relative change in state) = -
n_iter = 2 J = 37.682 max(relative change in state) = 0.57787
n_iter = 3 J = 33.476 max(relative change in state) = 1.1006
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 30 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 31 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 31 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 1003.3 max(relative change in state) = -
n_iter = 2 J = 12886. max(relative change in state) = 68.893
n_iter = 3 J = 935.96 max(relative change in state) = 62.916
n_iter = 4 J = 935.52 max(relative change in state) = 0.47427
n_iter = 5 J = 935.42 max(relative change in state) = 0.28746
n_iter = 6 J = 935.30 max(relative change in state) = 0.12108
n_iter = 7 J = 935.29 max(relative change in state) = 0.16314E-01
n_iter = 8 J = 935.28 max(relative change in state) = 0.72559E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 31 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 32 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 32 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 62.306 max(relative change in state) = -
n_iter = 2 J = 55.410 max(relative change in state) = 1.3480
n_iter = 3 J = 54.553 max(relative change in state) = 0.58445
n_iter = 4 J = 55.456 max(relative change in state) = 0.98626
n_iter = 5 J = 54.508 max(relative change in state) = 0.89729
n_iter = 6 J = 54.481 max(relative change in state) = 0.19474E-01
n_iter = 7 J = 54.483 max(relative change in state) = 0.14509
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 32 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 33 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 33 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 26.755 max(relative change in state) = -
n_iter = 2 J = 23.471 max(relative change in state) = 0.65607
n_iter = 3 J = 22.390 max(relative change in state) = 0.57713
n_iter = 4 J = 24.503 max(relative change in state) = 1.0095
n_iter = 5 J = 22.344 max(relative change in state) = 0.94409
n_iter = 6 J = 22.310 max(relative change in state) = 0.23873E-01
n_iter = 7 J = 22.577 max(relative change in state) = 0.16241
n_iter = 8 J = 22.274 max(relative change in state) = 0.15453
n_iter = 9 J = 22.246 max(relative change in state) = 0.21838E-01
n_iter = 10 J = 22.272 max(relative change in state) = 0.68745E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 33 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 34 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 34 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 113.29 max(relative change in state) = -
n_iter = 2 J = 101.55 max(relative change in state) = 2.0613
n_iter = 3 J = 98.314 max(relative change in state) = 1.2298
n_iter = 4 J = 100.10 max(relative change in state) = 1.0872
n_iter = 5 J = 98.200 max(relative change in state) = 0.88854
n_iter = 6 J = 98.175 max(relative change in state) = 0.16497E-01
n_iter = 7 J = 98.105 max(relative change in state) = 0.13820
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 34 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 35 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 35 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 675.11 max(relative change in state) = -
n_iter = 2 J = 4986.9 max(relative change in state) = 42.487
n_iter = 3 J = 616.27 max(relative change in state) = 39.012
n_iter = 4 J = 646.30 max(relative change in state) = 3.9705
n_iter = 5 J = 615.90 max(relative change in state) = 3.5820
n_iter = 6 J = 615.80 max(relative change in state) = 0.26876E-01
n_iter = 7 J = 615.40 max(relative change in state) = 0.82040
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 35 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 36 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 36 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.012 max(relative change in state) = -
n_iter = 2 J = 77.077 max(relative change in state) = 0.79050
n_iter = 3 J = 57.897 max(relative change in state) = 2.5200
n_iter = 4 J = 59.257 max(relative change in state) = 0.97916
n_iter = 5 J = 57.405 max(relative change in state) = 0.72446
n_iter = 6 J = 57.353 max(relative change in state) = 0.78388E-01
n_iter = 7 J = 57.225 max(relative change in state) = 0.19594
n_iter = 8 J = 57.079 max(relative change in state) = 0.96426E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 36 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 37 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 37 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 52.446 max(relative change in state) = -
n_iter = 2 J = 48.716 max(relative change in state) = 0.19851
n_iter = 3 J = 43.555 max(relative change in state) = 0.51805
n_iter = 4 J = 41.065 max(relative change in state) = 0.75777
n_iter = 5 J = 39.820 max(relative change in state) = 0.47548
n_iter = 6 J = 38.938 max(relative change in state) = 0.17415
n_iter = 7 J = 38.938 max(relative change in state) = 0.31723
n_iter = 8 J = 38.061 max(relative change in state) = 0.15246
n_iter = 9 J = 37.746 max(relative change in state) = 0.79557E-01
n_iter = 10 J = 37.572 max(relative change in state) = 0.10095
n_iter = 11 J = 37.417 max(relative change in state) = 0.53627E-01
n_iter = 12 J = 37.298 max(relative change in state) = 0.99884E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 37 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 38 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 38 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 56.730 max(relative change in state) = -
n_iter = 2 J = 48.013 max(relative change in state) = 0.74224
n_iter = 3 J = 41.937 max(relative change in state) = 1.4109
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 38 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 39 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 39 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 56.084 max(relative change in state) = -
n_iter = 2 J = 47.346 max(relative change in state) = 0.86013
n_iter = 3 J = 42.752 max(relative change in state) = 1.4536
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 39 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 40 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 40 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 92.068 max(relative change in state) = -
n_iter = 2 J = 78.180 max(relative change in state) = 0.91634
n_iter = 3 J = 71.687 max(relative change in state) = 1.4601
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 40 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 41 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 41 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 126.16 max(relative change in state) = -
n_iter = 2 J = 122.83 max(relative change in state) = 0.21461
n_iter = 3 J = 115.46 max(relative change in state) = 0.54767
n_iter = 4 J = 121.15 max(relative change in state) = 3.1486
n_iter = 5 J = 115.77 max(relative change in state) = 0.92123
n_iter = 6 J = 116.79 max(relative change in state) = 0.79885
n_iter = 7 J = 113.32 max(relative change in state) = 0.36896
n_iter = 8 J = 112.05 max(relative change in state) = 0.14966
n_iter = 9 J = 110.74 max(relative change in state) = 0.15499
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 41 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 42 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 42 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 114.69 max(relative change in state) = -
n_iter = 2 J = 97.485 max(relative change in state) = 1.3364
n_iter = 3 J = 90.445 max(relative change in state) = 1.7131
n_iter = 4 J = 92.191 max(relative change in state) = 0.97714
n_iter = 5 J = 90.411 max(relative change in state) = 0.87710
n_iter = 6 J = 90.398 max(relative change in state) = 0.10287E-01
n_iter = 7 J = 90.368 max(relative change in state) = 0.16719
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 42 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 43 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 43 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 81.193 max(relative change in state) = -
n_iter = 2 J = 70.866 max(relative change in state) = 0.81413
n_iter = 3 J = 62.592 max(relative change in state) = 2.0047
n_iter = 4 J = 61.579 max(relative change in state) = 0.43921
n_iter = 5 J = 60.903 max(relative change in state) = 0.26550
n_iter = 6 J = 60.226 max(relative change in state) = 0.44783
n_iter = 7 J = 59.990 max(relative change in state) = 0.24368
n_iter = 8 J = 59.734 max(relative change in state) = 0.33680
n_iter = 9 J = 59.234 max(relative change in state) = 0.15662
n_iter = 10 J = 58.992 max(relative change in state) = 0.15227
n_iter = 11 J = 58.854 max(relative change in state) = 0.10929
n_iter = 12 J = 58.808 max(relative change in state) = 0.43622E-01
n_iter = 13 J = 58.759 max(relative change in state) = 0.62008E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 43 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 44 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 44 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 153.08 max(relative change in state) = -
n_iter = 2 J = 132.61 max(relative change in state) = 3.2414
n_iter = 3 J = 128.31 max(relative change in state) = 0.82303
n_iter = 4 J = 137.29 max(relative change in state) = 2.1362
n_iter = 5 J = 127.85 max(relative change in state) = 1.7693
n_iter = 6 J = 127.77 max(relative change in state) = 0.27448E-01
n_iter = 7 J = 127.55 max(relative change in state) = 0.29261
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 44 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 45 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 45 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 56.570 max(relative change in state) = -
n_iter = 2 J = 49.626 max(relative change in state) = 0.74768
n_iter = 3 J = 46.062 max(relative change in state) = 0.60412
n_iter = 4 J = 46.802 max(relative change in state) = 0.67033
n_iter = 5 J = 45.874 max(relative change in state) = 0.52677
n_iter = 6 J = 45.789 max(relative change in state) = 0.55810E-01
n_iter = 7 J = 45.659 max(relative change in state) = 0.11310
n_iter = 8 J = 45.575 max(relative change in state) = 0.11008
n_iter = 9 J = 45.501 max(relative change in state) = 0.44984E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 45 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 46 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 46 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.554 max(relative change in state) = -
n_iter = 2 J = 30.451 max(relative change in state) = 0.77191
n_iter = 3 J = 25.162 max(relative change in state) = 1.5708
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 46 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 47 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 47 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 165.47 max(relative change in state) = -
n_iter = 2 J = 137.45 max(relative change in state) = 3.9985
n_iter = 3 J = 130.88 max(relative change in state) = 1.2757
n_iter = 4 J = 131.03 max(relative change in state) = 0.65705
n_iter = 5 J = 130.33 max(relative change in state) = 0.38727
n_iter = 6 J = 130.27 max(relative change in state) = 0.14500
n_iter = 7 J = 130.25 max(relative change in state) = 0.75460E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 47 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 48 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 48 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.898 max(relative change in state) = -
n_iter = 2 J = 35.105 max(relative change in state) = 0.75491
n_iter = 3 J = 33.152 max(relative change in state) = 0.49123
n_iter = 4 J = 33.702 max(relative change in state) = 0.64123
n_iter = 5 J = 32.553 max(relative change in state) = 0.55851
n_iter = 6 J = 32.510 max(relative change in state) = 0.43765E-01
n_iter = 7 J = 32.476 max(relative change in state) = 0.56806E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 48 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 49 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 49 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 88.458 max(relative change in state) = -
n_iter = 2 J = 76.392 max(relative change in state) = 0.98364
n_iter = 3 J = 71.828 max(relative change in state) = 1.3756
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 49 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 50 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 50 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 20.824 max(relative change in state) = -
n_iter = 2 J = 17.609 max(relative change in state) = 0.50185
n_iter = 3 J = 15.703 max(relative change in state) = 0.81115
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 50 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 51 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 51 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 51 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 52 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 52 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 13.294 max(relative change in state) = -
n_iter = 2 J = 11.247 max(relative change in state) = 0.48078
n_iter = 3 J = 10.173 max(relative change in state) = 0.47734
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 52 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 53 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 53 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 124.46 max(relative change in state) = -
n_iter = 2 J = 115.31 max(relative change in state) = 2.3965
n_iter = 3 J = 113.50 max(relative change in state) = 0.70946
n_iter = 4 J = 116.87 max(relative change in state) = 1.2805
n_iter = 5 J = 113.45 max(relative change in state) = 1.1310
n_iter = 6 J = 113.45 max(relative change in state) = 0.70625E-02
n_iter = 7 J = 113.44 max(relative change in state) = 0.41927E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 53 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 54 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 54 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 4 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 376.69 max(relative change in state) = -
n_iter = 2 J = 913.70 max(relative change in state) = 21.393
n_iter = 3 J = 314.60 max(relative change in state) = 14.999
n_iter = 4 J = 314.15 max(relative change in state) = 0.64400
n_iter = 5 J = 316.04 max(relative change in state) = 0.78280
n_iter = 6 J = 313.81 max(relative change in state) = 0.55511
n_iter = 7 J = 313.75 max(relative change in state) = 0.18341E-01
n_iter = 8 J = 313.45 max(relative change in state) = 0.25439
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 54 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 55 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 55 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 34.264 max(relative change in state) = -
n_iter = 2 J = 29.014 max(relative change in state) = 0.66636
n_iter = 3 J = 26.416 max(relative change in state) = 0.94221
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 55 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 56 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 56 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.712 max(relative change in state) = -
n_iter = 2 J = 33.462 max(relative change in state) = 0.55802
n_iter = 3 J = 29.704 max(relative change in state) = 1.0775
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 56 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 57 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 57 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 85.385 max(relative change in state) = -
n_iter = 2 J = 73.103 max(relative change in state) = 1.0798
n_iter = 3 J = 69.020 max(relative change in state) = 0.97055
n_iter = 4 J = 73.870 max(relative change in state) = 1.5998
n_iter = 5 J = 68.965 max(relative change in state) = 1.4469
n_iter = 6 J = 68.952 max(relative change in state) = 0.11495E-01
n_iter = 7 J = 68.872 max(relative change in state) = 0.25729
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 57 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 58 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 58 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 58.789 max(relative change in state) = -
n_iter = 2 J = 51.303 max(relative change in state) = 1.1926
n_iter = 3 J = 49.447 max(relative change in state) = 0.85594
n_iter = 4 J = 56.053 max(relative change in state) = 1.8968
n_iter = 5 J = 49.308 max(relative change in state) = 1.6604
n_iter = 6 J = 49.282 max(relative change in state) = 0.27839E-01
n_iter = 7 J = 49.213 max(relative change in state) = 0.32012
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 58 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 59 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 59 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.431 max(relative change in state) = -
n_iter = 2 J = 38.210 max(relative change in state) = 0.42252
n_iter = 3 J = 32.259 max(relative change in state) = 0.90703
n_iter = 4 J = 34.753 max(relative change in state) = 1.2050
n_iter = 5 J = 32.015 max(relative change in state) = 1.0520
n_iter = 6 J = 31.854 max(relative change in state) = 0.46631E-01
n_iter = 7 J = 31.688 max(relative change in state) = 0.18029
n_iter = 8 J = 31.376 max(relative change in state) = 0.13550
n_iter = 9 J = 31.145 max(relative change in state) = 0.13995
n_iter = 10 J = 30.916 max(relative change in state) = 0.20611
n_iter = 11 J = 30.757 max(relative change in state) = 0.12042
n_iter = 12 J = 30.561 max(relative change in state) = 0.19339
n_iter = 13 J = 30.505 max(relative change in state) = 0.24227
n_iter = 14 J = 30.472 max(relative change in state) = 0.56635E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 59 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 60 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 60 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 57.646 max(relative change in state) = -
n_iter = 2 J = 49.203 max(relative change in state) = 1.0826
n_iter = 3 J = 45.574 max(relative change in state) = 1.0049
n_iter = 4 J = 46.252 max(relative change in state) = 0.65850
n_iter = 5 J = 45.435 max(relative change in state) = 0.48480
n_iter = 6 J = 45.397 max(relative change in state) = 0.54781E-01
n_iter = 7 J = 45.320 max(relative change in state) = 0.13493
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 60 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 61 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 61 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 62.619 max(relative change in state) = -
n_iter = 2 J = 51.673 max(relative change in state) = 0.35610
n_iter = 3 J = 41.098 max(relative change in state) = 0.53678
n_iter = 4 J = 35.969 max(relative change in state) = 0.47770
n_iter = 5 J = 32.929 max(relative change in state) = 0.62231
n_iter = 6 J = 31.564 max(relative change in state) = 0.57190
n_iter = 7 J = 31.049 max(relative change in state) = 0.18009
n_iter = 8 J = 30.677 max(relative change in state) = 0.27437
n_iter = 9 J = 30.535 max(relative change in state) = 0.14354
n_iter = 10 J = 30.496 max(relative change in state) = 0.21026E-01
n_iter = 11 J = 30.421 max(relative change in state) = 0.67749E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 61 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 62 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 62 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 62 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 63 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 63 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 11.000 max(relative change in state) = -
n_iter = 2 J = 9.2261 max(relative change in state) = 0.40244
n_iter = 3 J = 8.0045 max(relative change in state) = 0.60584
n_iter = 4 J = 9.3949 max(relative change in state) = 0.97133
n_iter = 5 J = 7.9912 max(relative change in state) = 0.87920
n_iter = 6 J = 7.9896 max(relative change in state) = 0.45077E-02
n_iter = 7 J = 7.9910 max(relative change in state) = 0.14209
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 63 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 64 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 64 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 82.638 max(relative change in state) = -
n_iter = 2 J = 75.685 max(relative change in state) = 0.40378
n_iter = 3 J = 67.190 max(relative change in state) = 0.85634
n_iter = 4 J = 63.578 max(relative change in state) = 0.82455
n_iter = 5 J = 62.536 max(relative change in state) = 0.43589
n_iter = 6 J = 63.303 max(relative change in state) = 0.35529
n_iter = 7 J = 61.787 max(relative change in state) = 0.24814
n_iter = 8 J = 60.995 max(relative change in state) = 0.14716
n_iter = 9 J = 60.532 max(relative change in state) = 0.15401
n_iter = 10 J = 60.269 max(relative change in state) = 0.28763
n_iter = 11 J = 59.848 max(relative change in state) = 0.12725
n_iter = 12 J = 59.412 max(relative change in state) = 0.14325
n_iter = 13 J = 59.184 max(relative change in state) = 0.15900
n_iter = 14 J = 59.132 max(relative change in state) = 0.20030
n_iter = 15 J = 58.964 max(relative change in state) = 0.39607E-01
n_iter = 16 J = 58.883 max(relative change in state) = 0.37689E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 64 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 65 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 65 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.206 max(relative change in state) = -
n_iter = 2 J = 14.484 max(relative change in state) = 0.39787
n_iter = 3 J = 12.744 max(relative change in state) = 0.71379
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 65 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 66 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 66 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 116.39 max(relative change in state) = -
n_iter = 2 J = 97.487 max(relative change in state) = 1.3360
n_iter = 3 J = 84.211 max(relative change in state) = 2.1295
n_iter = 4 J = 101.21 max(relative change in state) = 2.9980
n_iter = 5 J = 84.088 max(relative change in state) = 2.7369
n_iter = 6 J = 84.077 max(relative change in state) = 0.96232E-02
n_iter = 7 J = 83.942 max(relative change in state) = 0.15227
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 66 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 67 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 67 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 67 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 68 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 68 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 79.007 max(relative change in state) = -
n_iter = 2 J = 67.317 max(relative change in state) = 1.2119
n_iter = 3 J = 62.410 max(relative change in state) = 1.2346
n_iter = 4 J = 62.311 max(relative change in state) = 0.30124
n_iter = 5 J = 62.232 max(relative change in state) = 0.32441
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 68 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 69 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 69 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 489.45 max(relative change in state) = -
n_iter = 2 J = 658.38 max(relative change in state) = 15.949
n_iter = 3 J = 397.55 max(relative change in state) = 11.236
n_iter = 4 J = 396.64 max(relative change in state) = 1.4227
n_iter = 5 J = 393.39 max(relative change in state) = 1.5131
n_iter = 6 J = 391.25 max(relative change in state) = 0.32945
n_iter = 7 J = 390.62 max(relative change in state) = 0.17971
n_iter = 8 J = 389.85 max(relative change in state) = 0.19812
n_iter = 9 J = 390.06 max(relative change in state) = 0.50086
n_iter = 10 J = 388.91 max(relative change in state) = 0.23092
n_iter = 11 J = 388.82 max(relative change in state) = 0.32731E-01
n_iter = 12 J = 388.58 max(relative change in state) = 0.14034
n_iter = 13 J = 388.35 max(relative change in state) = 0.12071
n_iter = 14 J = 388.04 max(relative change in state) = 0.27031
n_iter = 15 J = 387.96 max(relative change in state) = 0.16555
n_iter = 16 J = 387.94 max(relative change in state) = 0.11051
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 69 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 70 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 70 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.185 max(relative change in state) = -
n_iter = 2 J = 26.277 max(relative change in state) = 0.61918
n_iter = 3 J = 23.223 max(relative change in state) = 0.92376
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 70 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 71 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 71 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 108.37 max(relative change in state) = -
n_iter = 2 J = 91.519 max(relative change in state) = 1.1577
n_iter = 3 J = 82.158 max(relative change in state) = 1.2293
n_iter = 4 J = 82.335 max(relative change in state) = 0.47353
n_iter = 5 J = 81.793 max(relative change in state) = 0.25482
n_iter = 6 J = 81.737 max(relative change in state) = 0.12762
n_iter = 7 J = 81.726 max(relative change in state) = 0.47627E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 71 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 72 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 72 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.309 max(relative change in state) = -
n_iter = 2 J = 32.649 max(relative change in state) = 0.63089
n_iter = 3 J = 25.939 max(relative change in state) = 1.1916
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 72 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 73 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 73 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 32.811 max(relative change in state) = -
n_iter = 2 J = 27.417 max(relative change in state) = 0.69988
n_iter = 3 J = 22.903 max(relative change in state) = 1.1452
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 73 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 74 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 74 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 54.026 max(relative change in state) = -
n_iter = 2 J = 45.082 max(relative change in state) = 0.81688
n_iter = 3 J = 37.786 max(relative change in state) = 1.3729
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 74 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 75 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 75 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 88.770 max(relative change in state) = -
n_iter = 2 J = 76.465 max(relative change in state) = 1.5800
n_iter = 3 J = 73.191 max(relative change in state) = 1.2139
n_iter = 4 J = 78.603 max(relative change in state) = 1.9518
n_iter = 5 J = 73.145 max(relative change in state) = 1.7917
n_iter = 6 J = 73.134 max(relative change in state) = 0.11882E-01
n_iter = 7 J = 73.265 max(relative change in state) = 0.32114
n_iter = 8 J = 73.066 max(relative change in state) = 0.16898
n_iter = 9 J = 73.062 max(relative change in state) = 0.16589E-01
n_iter = 10 J = 73.062 max(relative change in state) = 0.42239E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 75 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 76 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 76 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 263.71 max(relative change in state) = -
n_iter = 2 J = 1149.9 max(relative change in state) = 17.268
n_iter = 3 J = 244.65 max(relative change in state) = 14.374
n_iter = 4 J = 297.87 max(relative change in state) = 5.3026
n_iter = 5 J = 244.37 max(relative change in state) = 4.9020
n_iter = 6 J = 244.36 max(relative change in state) = 0.15721E-01
n_iter = 7 J = 244.22 max(relative change in state) = 0.14823
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 76 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 77 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 77 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.909 max(relative change in state) = -
n_iter = 2 J = 29.937 max(relative change in state) = 0.74994
n_iter = 3 J = 24.801 max(relative change in state) = 1.6372
n_iter = 4 J = 29.551 max(relative change in state) = 1.5084
n_iter = 5 J = 24.782 max(relative change in state) = 1.4090
n_iter = 6 J = 24.779 max(relative change in state) = 0.45502E-02
n_iter = 7 J = 24.754 max(relative change in state) = 0.85234E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 77 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 78 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 78 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 453.20 max(relative change in state) = -
n_iter = 2 J = 2992.6 max(relative change in state) = 36.011
n_iter = 3 J = 416.01 max(relative change in state) = 32.671
n_iter = 4 J = 416.59 max(relative change in state) = 0.93017
n_iter = 5 J = 415.64 max(relative change in state) = 0.61779
n_iter = 6 J = 415.57 max(relative change in state) = 0.11080
n_iter = 7 J = 415.48 max(relative change in state) = 0.19536
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 78 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 79 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 79 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 49.019 max(relative change in state) = -
n_iter = 2 J = 40.800 max(relative change in state) = 0.85950
n_iter = 3 J = 31.737 max(relative change in state) = 2.0261
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 79 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 80 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 80 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 323.22 max(relative change in state) = -
n_iter = 2 J = 520.04 max(relative change in state) = 11.792
n_iter = 3 J = 287.42 max(relative change in state) = 8.4481
n_iter = 4 J = 287.93 max(relative change in state) = 0.64257
n_iter = 5 J = 287.11 max(relative change in state) = 0.49549
n_iter = 6 J = 286.96 max(relative change in state) = 0.15757
n_iter = 7 J = 287.01 max(relative change in state) = 0.41716
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 80 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 81 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 81 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 90.854 max(relative change in state) = -
n_iter = 2 J = 78.495 max(relative change in state) = 1.1199
n_iter = 3 J = 70.489 max(relative change in state) = 1.5009
n_iter = 4 J = 71.681 max(relative change in state) = 1.0528
n_iter = 5 J = 69.356 max(relative change in state) = 0.82115
n_iter = 6 J = 69.204 max(relative change in state) = 0.12957
n_iter = 7 J = 69.095 max(relative change in state) = 0.18458
n_iter = 8 J = 68.920 max(relative change in state) = 0.20836
n_iter = 9 J = 68.935 max(relative change in state) = 0.23994
n_iter = 10 J = 68.965 max(relative change in state) = 0.45737
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 81 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 82 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 82 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 96.133 max(relative change in state) = -
n_iter = 2 J = 80.280 max(relative change in state) = 1.2116
n_iter = 3 J = 67.397 max(relative change in state) = 2.2395
n_iter = 4 J = 68.150 max(relative change in state) = 0.95889
n_iter = 5 J = 67.250 max(relative change in state) = 0.72883
n_iter = 6 J = 67.210 max(relative change in state) = 0.53833E-01
n_iter = 7 J = 67.077 max(relative change in state) = 0.21280
n_iter = 8 J = 66.999 max(relative change in state) = 0.90662E-01
n_iter = 9 J = 67.061 max(relative change in state) = 0.16126
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 82 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 83 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 83 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.771 max(relative change in state) = -
n_iter = 2 J = 63.367 max(relative change in state) = 0.23401
n_iter = 3 J = 50.881 max(relative change in state) = 0.93803
n_iter = 4 J = 41.463 max(relative change in state) = 2.2267
n_iter = 5 J = 41.358 max(relative change in state) = 0.81251
n_iter = 6 J = 38.913 max(relative change in state) = 0.58631
n_iter = 7 J = 37.307 max(relative change in state) = 0.25122
n_iter = 8 J = 36.706 max(relative change in state) = 0.35033
n_iter = 9 J = 35.853 max(relative change in state) = 0.23589
n_iter = 10 J = 35.245 max(relative change in state) = 0.34544
n_iter = 11 J = 34.747 max(relative change in state) = 0.24288
n_iter = 12 J = 34.428 max(relative change in state) = 0.13262
n_iter = 13 J = 34.086 max(relative change in state) = 0.29085
n_iter = 14 J = 34.000 max(relative change in state) = 0.29340
n_iter = 15 J = 33.748 max(relative change in state) = 0.99185E-01
n_iter = 16 J = 33.646 max(relative change in state) = 0.77201E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 83 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 84 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 84 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 128.66 max(relative change in state) = -
n_iter = 2 J = 123.89 max(relative change in state) = 0.22751
n_iter = 3 J = 104.50 max(relative change in state) = 2.7142
n_iter = 4 J = 104.35 max(relative change in state) = 0.37720
n_iter = 5 J = 99.914 max(relative change in state) = 0.79779
n_iter = 6 J = 101.60 max(relative change in state) = 0.40016
n_iter = 7 J = 99.435 max(relative change in state) = 0.56050
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 84 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 85 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 85 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 159.30 max(relative change in state) = -
n_iter = 2 J = 150.10 max(relative change in state) = 0.56992
n_iter = 3 J = 128.78 max(relative change in state) = 2.1002
n_iter = 4 J = 128.92 max(relative change in state) = 0.45921
n_iter = 5 J = 125.15 max(relative change in state) = 0.32413
n_iter = 6 J = 120.93 max(relative change in state) = 0.46523
n_iter = 7 J = 118.47 max(relative change in state) = 0.27625
n_iter = 8 J = 117.60 max(relative change in state) = 0.17590
n_iter = 9 J = 116.89 max(relative change in state) = 0.19399
n_iter = 10 J = 115.99 max(relative change in state) = 0.83991
n_iter = 11 J = 115.84 max(relative change in state) = 0.18386
n_iter = 12 J = 115.35 max(relative change in state) = 0.13011
n_iter = 13 J = 115.27 max(relative change in state) = 0.27613E-01
n_iter = 14 J = 115.27 max(relative change in state) = 0.22141
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 85 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 86 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 86 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 44.613 max(relative change in state) = -
n_iter = 2 J = 38.928 max(relative change in state) = 0.97645
n_iter = 3 J = 37.736 max(relative change in state) = 0.74007
n_iter = 4 J = 42.839 max(relative change in state) = 1.6147
n_iter = 5 J = 37.716 max(relative change in state) = 1.5134
n_iter = 6 J = 37.713 max(relative change in state) = 0.36957E-02
n_iter = 7 J = 37.687 max(relative change in state) = 0.88048E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 86 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 87 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 87 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 77.559 max(relative change in state) = -
n_iter = 2 J = 67.007 max(relative change in state) = 1.1333
n_iter = 3 J = 62.607 max(relative change in state) = 1.0556
n_iter = 4 J = 65.046 max(relative change in state) = 1.1085
n_iter = 5 J = 62.198 max(relative change in state) = 0.89496
n_iter = 6 J = 62.152 max(relative change in state) = 0.72048E-01
n_iter = 7 J = 62.082 max(relative change in state) = 0.15651
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 87 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 88 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 88 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 103.86 max(relative change in state) = -
n_iter = 2 J = 94.826 max(relative change in state) = 0.98759
n_iter = 3 J = 89.124 max(relative change in state) = 0.93002
n_iter = 4 J = 92.095 max(relative change in state) = 1.2082
n_iter = 5 J = 88.560 max(relative change in state) = 1.0261
n_iter = 6 J = 88.254 max(relative change in state) = 0.82606E-01
n_iter = 7 J = 88.137 max(relative change in state) = 0.17492
n_iter = 8 J = 87.626 max(relative change in state) = 0.11181
n_iter = 9 J = 87.528 max(relative change in state) = 0.29225
n_iter = 10 J = 87.233 max(relative change in state) = 0.15142
n_iter = 11 J = 87.133 max(relative change in state) = 0.10570
n_iter = 12 J = 87.030 max(relative change in state) = 0.12260
n_iter = 13 J = 86.986 max(relative change in state) = 0.20829
n_iter = 14 J = 86.914 max(relative change in state) = 0.31020E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 88 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 89 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 89 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 50.214 max(relative change in state) = -
n_iter = 2 J = 45.664 max(relative change in state) = 0.23606
n_iter = 3 J = 35.216 max(relative change in state) = 1.1862
n_iter = 4 J = 39.672 max(relative change in state) = 1.7003
n_iter = 5 J = 33.627 max(relative change in state) = 1.3747
n_iter = 6 J = 32.844 max(relative change in state) = 0.20434
n_iter = 7 J = 32.657 max(relative change in state) = 0.36339
n_iter = 8 J = 31.301 max(relative change in state) = 0.30839
n_iter = 9 J = 30.575 max(relative change in state) = 0.43728
n_iter = 10 J = 30.413 max(relative change in state) = 0.23625
n_iter = 11 J = 29.919 max(relative change in state) = 0.10461
n_iter = 12 J = 29.645 max(relative change in state) = 0.70436E-01
n_iter = 13 J = 29.450 max(relative change in state) = 0.19732
n_iter = 14 J = 29.089 max(relative change in state) = 0.31698
n_iter = 15 J = 28.755 max(relative change in state) = 0.80782E-01
n_iter = 16 J = 28.552 max(relative change in state) = 0.12970
n_iter = 17 J = 28.355 max(relative change in state) = 0.14089
n_iter = 18 J = 28.158 max(relative change in state) = 0.15525
n_iter = 19 J = 28.035 max(relative change in state) = 0.21167
n_iter = 20 J = 27.983 max(relative change in state) = 0.82439E-01
n_iter = 21 J = 27.932 max(relative change in state) = 0.30911E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 21.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 89 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 90 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 90 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 46.126 max(relative change in state) = -
n_iter = 2 J = 38.153 max(relative change in state) = 0.90421
n_iter = 3 J = 28.551 max(relative change in state) = 2.4837
n_iter = 4 J = 35.489 max(relative change in state) = 2.1481
n_iter = 5 J = 28.499 max(relative change in state) = 1.9611
n_iter = 6 J = 28.494 max(relative change in state) = 0.58022E-02
n_iter = 7 J = 28.464 max(relative change in state) = 0.17005
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 90 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 91 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 91 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 657.75 max(relative change in state) = -
n_iter = 2 J = 4425.7 max(relative change in state) = 36.484
n_iter = 3 J = 603.01 max(relative change in state) = 31.682
n_iter = 4 J = 607.15 max(relative change in state) = 1.6333
n_iter = 5 J = 602.78 max(relative change in state) = 1.1412
n_iter = 6 J = 602.45 max(relative change in state) = 0.20857
n_iter = 7 J = 602.33 max(relative change in state) = 0.23778
n_iter = 8 J = 602.18 max(relative change in state) = 0.36674E-01
n_iter = 9 J = 601.71 max(relative change in state) = 0.51015
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 91 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 92 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 92 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 47.781 max(relative change in state) = -
n_iter = 2 J = 39.772 max(relative change in state) = 0.70047
n_iter = 3 J = 32.491 max(relative change in state) = 1.4454
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 92 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 93 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 93 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 111.43 max(relative change in state) = -
n_iter = 2 J = 95.675 max(relative change in state) = 1.4775
n_iter = 3 J = 88.439 max(relative change in state) = 1.6646
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 93 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 94 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 94 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 146.79 max(relative change in state) = -
n_iter = 2 J = 124.14 max(relative change in state) = 3.3520
n_iter = 3 J = 122.98 max(relative change in state) = 0.56255
n_iter = 4 J = 127.68 max(relative change in state) = 1.7956
n_iter = 5 J = 122.90 max(relative change in state) = 1.5730
n_iter = 6 J = 122.89 max(relative change in state) = 0.12656E-01
n_iter = 7 J = 122.86 max(relative change in state) = 0.13964
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 94 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 95 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 95 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 95 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 96 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 96 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 77.881 max(relative change in state) = -
n_iter = 2 J = 64.790 max(relative change in state) = 1.0462
n_iter = 3 J = 50.792 max(relative change in state) = 2.3763
n_iter = 4 J = 53.915 max(relative change in state) = 1.4248
n_iter = 5 J = 50.683 max(relative change in state) = 1.2346
n_iter = 6 J = 50.647 max(relative change in state) = 0.16272E-01
n_iter = 7 J = 50.539 max(relative change in state) = 0.30091
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 96 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 97 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 97 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 88.392 max(relative change in state) = -
n_iter = 2 J = 72.563 max(relative change in state) = 0.77950
n_iter = 3 J = 47.507 max(relative change in state) = 3.3233
n_iter = 4 J = 47.744 max(relative change in state) = 0.59953
n_iter = 5 J = 47.308 max(relative change in state) = 0.38539
n_iter = 6 J = 47.280 max(relative change in state) = 0.87059E-01
n_iter = 7 J = 47.260 max(relative change in state) = 0.95071E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 97 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 98 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 98 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 76.943 max(relative change in state) = -
n_iter = 2 J = 64.844 max(relative change in state) = 0.99709
n_iter = 3 J = 57.393 max(relative change in state) = 1.3438
n_iter = 4 J = 58.647 max(relative change in state) = 0.78023
n_iter = 5 J = 57.262 max(relative change in state) = 0.62376
n_iter = 6 J = 57.224 max(relative change in state) = 0.23118E-01
n_iter = 7 J = 57.052 max(relative change in state) = 0.23608
n_iter = 8 J = 57.073 max(relative change in state) = 0.19918
n_iter = 9 J = 57.041 max(relative change in state) = 0.12735
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 98 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 99 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 99 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 109.03 max(relative change in state) = -
n_iter = 2 J = 89.400 max(relative change in state) = 0.57913
n_iter = 3 J = 80.194 max(relative change in state) = 0.65562
n_iter = 4 J = 82.596 max(relative change in state) = 0.56741
n_iter = 5 J = 75.723 max(relative change in state) = 1.0814
n_iter = 6 J = 71.688 max(relative change in state) = 1.3589
n_iter = 7 J = 57.022 max(relative change in state) = 0.66264
n_iter = 8 J = 51.828 max(relative change in state) = 0.39755
n_iter = 9 J = 48.255 max(relative change in state) = 0.54407
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 99 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 100 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 100 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 29.351 max(relative change in state) = -
n_iter = 2 J = 25.478 max(relative change in state) = 0.93650
n_iter = 3 J = 24.580 max(relative change in state) = 0.33827
n_iter = 4 J = 28.001 max(relative change in state) = 1.3112
n_iter = 5 J = 24.501 max(relative change in state) = 1.1148
n_iter = 6 J = 24.495 max(relative change in state) = 0.53953E-02
n_iter = 7 J = 24.459 max(relative change in state) = 0.77512E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 100 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 101 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 101 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 30.972 max(relative change in state) = -
n_iter = 2 J = 25.448 max(relative change in state) = 0.49098
n_iter = 3 J = 16.826 max(relative change in state) = 1.5497
n_iter = 4 J = 19.978 max(relative change in state) = 1.4544
n_iter = 5 J = 16.775 max(relative change in state) = 1.2828
n_iter = 6 J = 16.766 max(relative change in state) = 0.71932E-02
n_iter = 7 J = 16.802 max(relative change in state) = 0.25424
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 101 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 102 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 102 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.402 max(relative change in state) = -
n_iter = 2 J = 30.093 max(relative change in state) = 0.43236
n_iter = 3 J = 22.795 max(relative change in state) = 1.2237
n_iter = 4 J = 22.640 max(relative change in state) = 0.25781
n_iter = 5 J = 22.580 max(relative change in state) = 0.23729
n_iter = 6 J = 22.544 max(relative change in state) = 0.35367E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 102 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 103 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 103 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 103 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 104 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 104 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.898 max(relative change in state) = -
n_iter = 2 J = 33.798 max(relative change in state) = 1.0703
n_iter = 3 J = 33.425 max(relative change in state) = 0.36679
n_iter = 4 J = 33.601 max(relative change in state) = 0.20912
n_iter = 5 J = 33.424 max(relative change in state) = 0.14464
n_iter = 6 J = 33.416 max(relative change in state) = 0.28882E-01
n_iter = 7 J = 33.413 max(relative change in state) = 0.24631E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 104 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 105 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 105 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 29.779 max(relative change in state) = -
n_iter = 2 J = 25.234 max(relative change in state) = 0.78095
n_iter = 3 J = 22.533 max(relative change in state) = 0.80804
n_iter = 4 J = 25.534 max(relative change in state) = 1.3737
n_iter = 5 J = 22.486 max(relative change in state) = 1.2272
n_iter = 6 J = 22.476 max(relative change in state) = 0.87628E-02
n_iter = 7 J = 22.455 max(relative change in state) = 0.14450
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 105 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 106 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 106 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.719 max(relative change in state) = -
n_iter = 2 J = 35.999 max(relative change in state) = 0.29534
n_iter = 3 J = 26.157 max(relative change in state) = 0.53301
n_iter = 4 J = 20.368 max(relative change in state) = 0.53939
n_iter = 5 J = 19.509 max(relative change in state) = 0.21469
n_iter = 6 J = 19.451 max(relative change in state) = 0.35283
n_iter = 7 J = 18.936 max(relative change in state) = 0.17337
n_iter = 8 J = 18.892 max(relative change in state) = 0.69126E-01
n_iter = 9 J = 18.863 max(relative change in state) = 0.16000E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 106 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 107 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 107 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.737 max(relative change in state) = -
n_iter = 2 J = 37.278 max(relative change in state) = 1.2218
n_iter = 3 J = 36.935 max(relative change in state) = 0.53709
n_iter = 4 J = 37.742 max(relative change in state) = 0.68993
n_iter = 5 J = 36.884 max(relative change in state) = 0.52401
n_iter = 6 J = 36.883 max(relative change in state) = 0.65769E-02
n_iter = 7 J = 36.882 max(relative change in state) = 0.17105E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 107 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 108 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 108 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 112.76 max(relative change in state) = -
n_iter = 2 J = 93.639 max(relative change in state) = 1.3392
n_iter = 3 J = 74.891 max(relative change in state) = 3.0874
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 108 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 109 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 109 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 272.68 max(relative change in state) = -
n_iter = 2 J = 595.56 max(relative change in state) = 16.974
n_iter = 3 J = 231.89 max(relative change in state) = 13.222
n_iter = 4 J = 237.23 max(relative change in state) = 1.9733
n_iter = 5 J = 231.47 max(relative change in state) = 1.5953
n_iter = 6 J = 231.35 max(relative change in state) = 0.32475E-01
n_iter = 7 J = 230.71 max(relative change in state) = 0.45053
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 109 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 110 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 110 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 28.129 max(relative change in state) = -
n_iter = 2 J = 23.492 max(relative change in state) = 0.24669
n_iter = 3 J = 18.605 max(relative change in state) = 0.48922
n_iter = 4 J = 17.830 max(relative change in state) = 0.15162
n_iter = 5 J = 16.494 max(relative change in state) = 0.39265
n_iter = 6 J = 15.943 max(relative change in state) = 0.48956
n_iter = 7 J = 15.604 max(relative change in state) = 0.13253
n_iter = 8 J = 15.532 max(relative change in state) = 0.34190E-01
n_iter = 9 J = 15.463 max(relative change in state) = 0.58645E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 110 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 111 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 111 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.882 max(relative change in state) = -
n_iter = 2 J = 24.527 max(relative change in state) = 0.38327
n_iter = 3 J = 21.584 max(relative change in state) = 0.77050
n_iter = 4 J = 23.306 max(relative change in state) = 1.0455
n_iter = 5 J = 21.377 max(relative change in state) = 0.87434
n_iter = 6 J = 21.307 max(relative change in state) = 0.49129E-01
n_iter = 7 J = 21.086 max(relative change in state) = 0.24755
n_iter = 8 J = 21.079 max(relative change in state) = 0.16751
n_iter = 9 J = 21.008 max(relative change in state) = 0.38647E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 111 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 112 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 112 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 47.049 max(relative change in state) = -
n_iter = 2 J = 42.237 max(relative change in state) = 0.51995
n_iter = 3 J = 37.324 max(relative change in state) = 1.4105
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 112 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 113 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 113 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 148.92 max(relative change in state) = -
n_iter = 2 J = 123.21 max(relative change in state) = 3.3336
n_iter = 3 J = 121.43 max(relative change in state) = 0.84035
n_iter = 4 J = 121.54 max(relative change in state) = 0.19874
n_iter = 5 J = 121.35 max(relative change in state) = 0.85148E-01
n_iter = 6 J = 121.34 max(relative change in state) = 0.93665E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 113 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 114 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 114 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 455.94 max(relative change in state) = -
n_iter = 2 J = 1271.9 max(relative change in state) = 24.145
n_iter = 3 J = 377.10 max(relative change in state) = 17.760
n_iter = 4 J = 383.18 max(relative change in state) = 2.1116
n_iter = 5 J = 376.86 max(relative change in state) = 1.8024
n_iter = 6 J = 376.79 max(relative change in state) = 0.24494E-01
n_iter = 7 J = 376.70 max(relative change in state) = 0.48634
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 114 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 115 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 115 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 282.26 max(relative change in state) = -
n_iter = 2 J = 799.05 max(relative change in state) = 19.212
n_iter = 3 J = 249.02 max(relative change in state) = 16.103
n_iter = 4 J = 255.91 max(relative change in state) = 1.5824
n_iter = 5 J = 248.94 max(relative change in state) = 1.4429
n_iter = 6 J = 248.92 max(relative change in state) = 0.11347E-01
n_iter = 7 J = 248.82 max(relative change in state) = 0.30237
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 115 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 116 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 116 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 107.84 max(relative change in state) = -
n_iter = 2 J = 93.715 max(relative change in state) = 1.4413
n_iter = 3 J = 90.820 max(relative change in state) = 1.3472
n_iter = 4 J = 100.58 max(relative change in state) = 2.2542
n_iter = 5 J = 90.502 max(relative change in state) = 1.8446
n_iter = 6 J = 90.494 max(relative change in state) = 0.23142E-01
n_iter = 7 J = 90.465 max(relative change in state) = 0.10362
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 116 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 117 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 117 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 72.525 max(relative change in state) = -
n_iter = 2 J = 63.396 max(relative change in state) = 0.85866
n_iter = 3 J = 60.431 max(relative change in state) = 1.1786
n_iter = 4 J = 60.496 max(relative change in state) = 0.27631
n_iter = 5 J = 60.241 max(relative change in state) = 0.22132
n_iter = 6 J = 60.140 max(relative change in state) = 0.14767
n_iter = 7 J = 59.959 max(relative change in state) = 0.22314
n_iter = 8 J = 60.000 max(relative change in state) = 0.45525
n_iter = 9 J = 59.819 max(relative change in state) = 0.23687
n_iter = 10 J = 59.805 max(relative change in state) = 0.74880E-01
n_iter = 11 J = 59.794 max(relative change in state) = 0.66533E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 117 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 118 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 118 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 72.126 max(relative change in state) = -
n_iter = 2 J = 64.270 max(relative change in state) = 1.1649
n_iter = 3 J = 63.446 max(relative change in state) = 0.96385
n_iter = 4 J = 63.303 max(relative change in state) = 0.75046
n_iter = 5 J = 62.847 max(relative change in state) = 0.21591
n_iter = 6 J = 62.807 max(relative change in state) = 0.26951E-01
n_iter = 7 J = 62.678 max(relative change in state) = 0.16507
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 118 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 119 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 119 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 49.347 max(relative change in state) = -
n_iter = 2 J = 42.982 max(relative change in state) = 0.94106
n_iter = 3 J = 41.672 max(relative change in state) = 1.0321
n_iter = 4 J = 43.671 max(relative change in state) = 1.2597
n_iter = 5 J = 41.323 max(relative change in state) = 0.83753
n_iter = 6 J = 41.296 max(relative change in state) = 0.21728E-01
n_iter = 7 J = 41.279 max(relative change in state) = 0.13164
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 119 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 120 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 120 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 67.766 max(relative change in state) = -
n_iter = 2 J = 56.661 max(relative change in state) = 0.68917
n_iter = 3 J = 41.205 max(relative change in state) = 1.6437
n_iter = 4 J = 40.363 max(relative change in state) = 0.37485
n_iter = 5 J = 43.000 max(relative change in state) = 0.96342
n_iter = 6 J = 40.050 max(relative change in state) = 0.74853
n_iter = 7 J = 40.010 max(relative change in state) = 0.32256E-01
n_iter = 8 J = 39.936 max(relative change in state) = 0.18449
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 120 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 121 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 121 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.222 max(relative change in state) = -
n_iter = 2 J = 34.815 max(relative change in state) = 0.57104
n_iter = 3 J = 30.306 max(relative change in state) = 1.1980
n_iter = 4 J = 32.894 max(relative change in state) = 1.3274
n_iter = 5 J = 30.256 max(relative change in state) = 1.1854
n_iter = 6 J = 30.241 max(relative change in state) = 0.13574E-01
n_iter = 7 J = 30.193 max(relative change in state) = 0.16534
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 121 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 122 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 122 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 761.35 max(relative change in state) = -
n_iter = 2 J = 7805.0 max(relative change in state) = 60.148
n_iter = 3 J = 711.27 max(relative change in state) = 54.703
n_iter = 4 J = 734.24 max(relative change in state) = 3.1542
n_iter = 5 J = 710.84 max(relative change in state) = 2.8610
n_iter = 6 J = 710.67 max(relative change in state) = 0.38117E-01
n_iter = 7 J = 711.02 max(relative change in state) = 0.63509
n_iter = 8 J = 711.18 max(relative change in state) = 0.44321
n_iter = 9 J = 710.29 max(relative change in state) = 0.27410
n_iter = 10 J = 710.17 max(relative change in state) = 0.44161E-01
n_iter = 11 J = 710.04 max(relative change in state) = 0.17129
n_iter = 12 J = 709.82 max(relative change in state) = 0.79014E-01
n_iter = 13 J = 709.78 max(relative change in state) = 0.14610
n_iter = 14 J = 709.73 max(relative change in state) = 0.59135E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 122 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 123 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 123 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 44.754 max(relative change in state) = -
n_iter = 2 J = 38.617 max(relative change in state) = 0.86037
n_iter = 3 J = 35.960 max(relative change in state) = 0.74837
n_iter = 4 J = 35.421 max(relative change in state) = 0.65665
n_iter = 5 J = 37.128 max(relative change in state) = 0.65954
n_iter = 6 J = 35.330 max(relative change in state) = 0.52561
n_iter = 7 J = 35.319 max(relative change in state) = 0.98490E-02
n_iter = 8 J = 35.312 max(relative change in state) = 0.14494
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 123 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 124 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 124 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 37.329 max(relative change in state) = -
n_iter = 2 J = 32.276 max(relative change in state) = 0.52911
n_iter = 3 J = 25.588 max(relative change in state) = 1.2298
n_iter = 4 J = 26.866 max(relative change in state) = 0.83138
n_iter = 5 J = 25.359 max(relative change in state) = 0.71453
n_iter = 6 J = 25.203 max(relative change in state) = 0.57153E-01
n_iter = 7 J = 25.219 max(relative change in state) = 0.10523
n_iter = 8 J = 25.023 max(relative change in state) = 0.86208E-01
n_iter = 9 J = 24.863 max(relative change in state) = 0.15476
n_iter = 10 J = 24.793 max(relative change in state) = 0.12387
n_iter = 11 J = 24.720 max(relative change in state) = 0.91865E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 124 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 125 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 125 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 318.14 max(relative change in state) = -
n_iter = 2 J = 569.87 max(relative change in state) = 14.314
n_iter = 3 J = 270.33 max(relative change in state) = 10.924
n_iter = 4 J = 278.47 max(relative change in state) = 2.2192
n_iter = 5 J = 268.08 max(relative change in state) = 1.7072
n_iter = 6 J = 267.78 max(relative change in state) = 0.22602
n_iter = 7 J = 267.31 max(relative change in state) = 0.29255
n_iter = 8 J = 266.84 max(relative change in state) = 0.30777
n_iter = 9 J = 266.73 max(relative change in state) = 0.24476
n_iter = 10 J = 266.33 max(relative change in state) = 0.42814E-01
n_iter = 11 J = 266.20 max(relative change in state) = 0.97996E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 125 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 126 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 126 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 101.84 max(relative change in state) = -
n_iter = 2 J = 93.117 max(relative change in state) = 0.93976
n_iter = 3 J = 88.482 max(relative change in state) = 0.95145
n_iter = 4 J = 88.014 max(relative change in state) = 0.38159
n_iter = 5 J = 87.468 max(relative change in state) = 0.16928
n_iter = 6 J = 87.293 max(relative change in state) = 0.14266
n_iter = 7 J = 87.259 max(relative change in state) = 0.13985
n_iter = 8 J = 87.127 max(relative change in state) = 0.58455E-01
n_iter = 9 J = 87.043 max(relative change in state) = 0.37752E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 126 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 127 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 127 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 85.326 max(relative change in state) = -
n_iter = 2 J = 70.665 max(relative change in state) = 0.87044
n_iter = 3 J = 53.874 max(relative change in state) = 2.1559
n_iter = 4 J = 58.942 max(relative change in state) = 1.7491
n_iter = 5 J = 53.723 max(relative change in state) = 1.5074
n_iter = 6 J = 53.678 max(relative change in state) = 0.21791E-01
n_iter = 7 J = 53.347 max(relative change in state) = 0.49362
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 127 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 128 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 128 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 55.765 max(relative change in state) = -
n_iter = 2 J = 50.996 max(relative change in state) = 0.15877
n_iter = 3 J = 48.880 max(relative change in state) = 0.11583
n_iter = 4 J = 43.940 max(relative change in state) = 0.46763
n_iter = 5 J = 43.806 max(relative change in state) = 0.12507
n_iter = 6 J = 42.364 max(relative change in state) = 0.33746
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 128 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 129 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 129 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 260.62 max(relative change in state) = -
n_iter = 2 J = 551.52 max(relative change in state) = 13.252
n_iter = 3 J = 232.58 max(relative change in state) = 9.3926
n_iter = 4 J = 232.17 max(relative change in state) = 0.43009
n_iter = 5 J = 231.49 max(relative change in state) = 0.21326
n_iter = 6 J = 231.27 max(relative change in state) = 0.18064
n_iter = 7 J = 231.02 max(relative change in state) = 0.32533
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 129 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 130 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 130 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 304.33 max(relative change in state) = -
n_iter = 2 J = 338.86 max(relative change in state) = 5.7548
n_iter = 3 J = 278.57 max(relative change in state) = 2.8413
n_iter = 4 J = 277.38 max(relative change in state) = 0.58552
n_iter = 5 J = 274.85 max(relative change in state) = 0.22365
n_iter = 6 J = 272.61 max(relative change in state) = 0.50712
n_iter = 7 J = 274.57 max(relative change in state) = 0.23740
n_iter = 8 J = 272.43 max(relative change in state) = 0.19750
n_iter = 9 J = 272.37 max(relative change in state) = 0.25183E-01
n_iter = 10 J = 272.42 max(relative change in state) = 0.29924
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 130 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 131 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 131 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 56.819 max(relative change in state) = -
n_iter = 2 J = 50.489 max(relative change in state) = 1.3367
n_iter = 3 J = 49.922 max(relative change in state) = 0.37990
n_iter = 4 J = 50.000 max(relative change in state) = 0.16781
n_iter = 5 J = 49.906 max(relative change in state) = 0.11615
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 131 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 132 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 132 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.868 max(relative change in state) = -
n_iter = 2 J = 31.148 max(relative change in state) = 1.0727
n_iter = 3 J = 30.344 max(relative change in state) = 0.70525
n_iter = 4 J = 31.500 max(relative change in state) = 0.88338
n_iter = 5 J = 30.198 max(relative change in state) = 0.60706
n_iter = 6 J = 30.193 max(relative change in state) = 0.17645E-01
n_iter = 7 J = 30.186 max(relative change in state) = 0.73793E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 132 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 133 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 133 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 199.11 max(relative change in state) = -
n_iter = 2 J = 180.43 max(relative change in state) = 0.64068
n_iter = 3 J = 137.47 max(relative change in state) = 2.6253
n_iter = 4 J = 151.94 max(relative change in state) = 0.90568
n_iter = 5 J = 133.22 max(relative change in state) = 0.94908
n_iter = 6 J = 122.18 max(relative change in state) = 0.83954
n_iter = 7 J = 118.45 max(relative change in state) = 0.90442
n_iter = 8 J = 112.27 max(relative change in state) = 0.48736
n_iter = 9 J = 110.01 max(relative change in state) = 0.17963
n_iter = 10 J = 110.57 max(relative change in state) = 0.37671
n_iter = 11 J = 107.66 max(relative change in state) = 0.18750
n_iter = 12 J = 106.26 max(relative change in state) = 0.15983
n_iter = 13 J = 104.86 max(relative change in state) = 0.15111
n_iter = 14 J = 103.64 max(relative change in state) = 0.19437
n_iter = 15 J = 102.77 max(relative change in state) = 0.16640
n_iter = 16 J = 101.90 max(relative change in state) = 0.12127
n_iter = 17 J = 101.54 max(relative change in state) = 0.21964
n_iter = 18 J = 100.38 max(relative change in state) = 0.17303
n_iter = 19 J = 99.678 max(relative change in state) = 0.19349
n_iter = 20 J = 99.044 max(relative change in state) = 0.28022
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 21.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 133 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 134 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 134 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 110.92 max(relative change in state) = -
n_iter = 2 J = 101.24 max(relative change in state) = 1.5736
n_iter = 3 J = 100.02 max(relative change in state) = 0.88232
n_iter = 4 J = 102.05 max(relative change in state) = 1.0293
n_iter = 5 J = 99.839 max(relative change in state) = 0.90325
n_iter = 6 J = 99.742 max(relative change in state) = 0.43508E-01
n_iter = 7 J = 99.573 max(relative change in state) = 0.18270
n_iter = 8 J = 99.478 max(relative change in state) = 0.14203
n_iter = 9 J = 99.414 max(relative change in state) = 0.54045E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 134 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 135 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 135 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 141.31 max(relative change in state) = -
n_iter = 2 J = 127.99 max(relative change in state) = 0.82408
n_iter = 3 J = 114.82 max(relative change in state) = 2.9226
n_iter = 4 J = 115.64 max(relative change in state) = 0.84702
n_iter = 5 J = 114.06 max(relative change in state) = 0.67604
n_iter = 6 J = 113.53 max(relative change in state) = 0.96029E-01
n_iter = 7 J = 113.12 max(relative change in state) = 0.51978
n_iter = 8 J = 112.86 max(relative change in state) = 0.85514
n_iter = 9 J = 112.33 max(relative change in state) = 0.30427
n_iter = 10 J = 112.33 max(relative change in state) = 0.26324
n_iter = 11 J = 111.97 max(relative change in state) = 0.17199
n_iter = 12 J = 111.92 max(relative change in state) = 0.14482
n_iter = 13 J = 111.59 max(relative change in state) = 0.79756E-01
n_iter = 14 J = 111.65 max(relative change in state) = 0.46441
n_iter = 15 J = 111.01 max(relative change in state) = 0.28613
n_iter = 16 J = 110.57 max(relative change in state) = 0.27051
n_iter = 17 J = 110.47 max(relative change in state) = 0.12313
n_iter = 18 J = 110.19 max(relative change in state) = 0.87533E-01
n_iter = 19 J = 110.13 max(relative change in state) = 0.36361
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 20.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 135 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 136 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 136 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 63.414 max(relative change in state) = -
n_iter = 2 J = 55.217 max(relative change in state) = 1.1069
n_iter = 3 J = 52.618 max(relative change in state) = 0.94390
n_iter = 4 J = 52.754 max(relative change in state) = 0.52464
n_iter = 5 J = 52.149 max(relative change in state) = 0.37394
n_iter = 6 J = 52.108 max(relative change in state) = 0.81435E-01
n_iter = 7 J = 52.030 max(relative change in state) = 0.12420
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 136 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 137 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 137 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 137 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 138 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 138 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 134.87 max(relative change in state) = -
n_iter = 2 J = 118.59 max(relative change in state) = 1.8635
n_iter = 3 J = 116.38 max(relative change in state) = 1.2877
n_iter = 4 J = 123.24 max(relative change in state) = 1.9668
n_iter = 5 J = 116.34 max(relative change in state) = 1.8333
n_iter = 6 J = 116.33 max(relative change in state) = 0.67949E-02
n_iter = 7 J = 116.31 max(relative change in state) = 0.14696
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 138 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 139 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 139 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 13.453 max(relative change in state) = -
n_iter = 2 J = 11.279 max(relative change in state) = 0.44812
n_iter = 3 J = 9.9682 max(relative change in state) = 0.75892
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 139 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 140 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 140 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 40.760 max(relative change in state) = -
n_iter = 2 J = 34.672 max(relative change in state) = 0.88184
n_iter = 3 J = 32.011 max(relative change in state) = 0.91846
n_iter = 4 J = 36.383 max(relative change in state) = 1.6498
n_iter = 5 J = 31.957 max(relative change in state) = 1.4800
n_iter = 6 J = 31.949 max(relative change in state) = 0.10141E-01
n_iter = 7 J = 31.932 max(relative change in state) = 0.24127
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 140 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 141 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 141 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.208 max(relative change in state) = -
n_iter = 2 J = 33.313 max(relative change in state) = 0.75835
n_iter = 3 J = 31.541 max(relative change in state) = 0.93666
n_iter = 4 J = 32.392 max(relative change in state) = 1.2699
n_iter = 5 J = 30.902 max(relative change in state) = 0.64582
n_iter = 6 J = 30.877 max(relative change in state) = 0.30673E-01
n_iter = 7 J = 30.802 max(relative change in state) = 0.15443
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 141 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 142 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 142 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 66.551 max(relative change in state) = -
n_iter = 2 J = 55.848 max(relative change in state) = 1.0089
n_iter = 3 J = 48.370 max(relative change in state) = 1.6015
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 142 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 143 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 143 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 68.872 max(relative change in state) = -
n_iter = 2 J = 58.574 max(relative change in state) = 1.0550
n_iter = 3 J = 54.355 max(relative change in state) = 0.89596
n_iter = 4 J = 61.910 max(relative change in state) = 2.2188
n_iter = 5 J = 54.297 max(relative change in state) = 2.0275
n_iter = 6 J = 54.290 max(relative change in state) = 0.71252E-02
n_iter = 7 J = 54.269 max(relative change in state) = 0.19481
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 143 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 144 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 144 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 106.30 max(relative change in state) = -
n_iter = 2 J = 90.227 max(relative change in state) = 1.4419
n_iter = 3 J = 82.162 max(relative change in state) = 1.6621
n_iter = 4 J = 83.618 max(relative change in state) = 1.2173
n_iter = 5 J = 82.011 max(relative change in state) = 0.98515
n_iter = 6 J = 81.975 max(relative change in state) = 0.46970E-01
n_iter = 7 J = 81.879 max(relative change in state) = 0.17928
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 144 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 145 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 145 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 44.809 max(relative change in state) = -
n_iter = 2 J = 38.122 max(relative change in state) = 1.1385
n_iter = 3 J = 35.635 max(relative change in state) = 1.1225
n_iter = 4 J = 37.710 max(relative change in state) = 1.1545
n_iter = 5 J = 35.614 max(relative change in state) = 1.0475
n_iter = 6 J = 35.610 max(relative change in state) = 0.44332E-02
n_iter = 7 J = 35.602 max(relative change in state) = 0.14777
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 145 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 146 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 146 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 22.549 max(relative change in state) = -
n_iter = 2 J = 18.802 max(relative change in state) = 0.51094
n_iter = 3 J = 14.708 max(relative change in state) = 1.2920
n_iter = 4 J = 14.564 max(relative change in state) = 0.14140
n_iter = 5 J = 14.699 max(relative change in state) = 0.40209
n_iter = 6 J = 14.464 max(relative change in state) = 0.25553
n_iter = 7 J = 14.448 max(relative change in state) = 0.38710E-01
n_iter = 8 J = 14.392 max(relative change in state) = 0.97628E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 146 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 147 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 147 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 364.90 max(relative change in state) = -
n_iter = 2 J = 1029.2 max(relative change in state) = 23.165
n_iter = 3 J = 310.17 max(relative change in state) = 18.647
n_iter = 4 J = 315.72 max(relative change in state) = 2.0166
n_iter = 5 J = 307.93 max(relative change in state) = 1.4838
n_iter = 6 J = 307.78 max(relative change in state) = 0.23189
n_iter = 7 J = 307.70 max(relative change in state) = 0.13279
n_iter = 8 J = 307.51 max(relative change in state) = 0.12255
n_iter = 9 J = 307.30 max(relative change in state) = 0.30424
n_iter = 10 J = 307.31 max(relative change in state) = 0.76266E-01
n_iter = 11 J = 307.20 max(relative change in state) = 0.96699E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 147 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 148 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 148 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 11.819 max(relative change in state) = -
n_iter = 2 J = 9.8680 max(relative change in state) = 0.38877
n_iter = 3 J = 7.6074 max(relative change in state) = 1.0625
n_iter = 4 J = 7.6623 max(relative change in state) = 0.27432
n_iter = 5 J = 7.5207 max(relative change in state) = 0.19695
n_iter = 6 J = 7.5114 max(relative change in state) = 0.43627E-01
n_iter = 7 J = 7.5027 max(relative change in state) = 0.23332E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 148 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 149 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 149 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 149 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 150 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 150 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 134.42 max(relative change in state) = -
n_iter = 2 J = 119.96 max(relative change in state) = 1.3879
n_iter = 3 J = 110.82 max(relative change in state) = 1.2694
n_iter = 4 J = 108.75 max(relative change in state) = 0.47312
n_iter = 5 J = 107.81 max(relative change in state) = 0.39557
n_iter = 6 J = 106.92 max(relative change in state) = 0.74601
n_iter = 7 J = 106.71 max(relative change in state) = 0.85217E-01
n_iter = 8 J = 106.58 max(relative change in state) = 0.57594E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 150 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 151 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 151 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 13.960 max(relative change in state) = -
n_iter = 2 J = 11.765 max(relative change in state) = 0.43434
n_iter = 3 J = 10.366 max(relative change in state) = 0.73129
n_iter = 4 J = 11.304 max(relative change in state) = 0.68298
n_iter = 5 J = 10.348 max(relative change in state) = 0.60808
n_iter = 6 J = 10.344 max(relative change in state) = 0.75475E-02
n_iter = 7 J = 10.328 max(relative change in state) = 0.81587E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 151 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 152 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 152 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 113.04 max(relative change in state) = -
n_iter = 2 J = 97.556 max(relative change in state) = 1.7580
n_iter = 3 J = 93.546 max(relative change in state) = 1.2604
n_iter = 4 J = 95.060 max(relative change in state) = 0.84151
n_iter = 5 J = 93.457 max(relative change in state) = 0.71177
n_iter = 6 J = 93.430 max(relative change in state) = 0.26114E-01
n_iter = 7 J = 93.317 max(relative change in state) = 0.29382
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 152 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 153 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 153 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 324.58 max(relative change in state) = -
n_iter = 2 J = 519.27 max(relative change in state) = 17.098
n_iter = 3 J = 254.46 max(relative change in state) = 11.766
n_iter = 4 J = 352.81 max(relative change in state) = 6.6796
n_iter = 5 J = 254.07 max(relative change in state) = 6.2265
n_iter = 6 J = 254.06 max(relative change in state) = 0.23313E-01
n_iter = 7 J = 253.99 max(relative change in state) = 0.10254
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 153 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 154 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 154 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 24.896 max(relative change in state) = -
n_iter = 2 J = 21.168 max(relative change in state) = 0.59978
n_iter = 3 J = 19.243 max(relative change in state) = 0.88391
n_iter = 4 J = 20.983 max(relative change in state) = 0.97550
n_iter = 5 J = 19.199 max(relative change in state) = 0.86000
n_iter = 6 J = 19.185 max(relative change in state) = 0.18925E-01
n_iter = 7 J = 19.140 max(relative change in state) = 0.25940
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 154 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 155 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 155 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 155 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 156 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 156 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.973 max(relative change in state) = -
n_iter = 2 J = 80.799 max(relative change in state) = 1.2544
n_iter = 3 J = 75.432 max(relative change in state) = 1.4041
n_iter = 4 J = 77.883 max(relative change in state) = 1.3859
n_iter = 5 J = 74.851 max(relative change in state) = 1.0172
n_iter = 6 J = 74.715 max(relative change in state) = 0.10520
n_iter = 7 J = 74.409 max(relative change in state) = 0.31099
n_iter = 8 J = 74.231 max(relative change in state) = 0.12753
n_iter = 9 J = 74.250 max(relative change in state) = 0.39218
n_iter = 10 J = 74.123 max(relative change in state) = 0.16434
n_iter = 11 J = 74.099 max(relative change in state) = 0.87202E-01
n_iter = 12 J = 74.088 max(relative change in state) = 0.56231E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 156 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 157 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 157 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 116.70 max(relative change in state) = -
n_iter = 2 J = 103.33 max(relative change in state) = 1.6851
n_iter = 3 J = 100.94 max(relative change in state) = 1.1000
n_iter = 4 J = 106.66 max(relative change in state) = 1.5948
n_iter = 5 J = 101.09 max(relative change in state) = 1.2738
n_iter = 6 J = 100.95 max(relative change in state) = 0.19531
n_iter = 7 J = 100.94 max(relative change in state) = 0.26189E-01
n_iter = 8 J = 100.88 max(relative change in state) = 0.12572
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 157 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 158 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 158 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 11.221 max(relative change in state) = -
n_iter = 2 J = 9.4020 max(relative change in state) = 0.48400
n_iter = 3 J = 8.1079 max(relative change in state) = 0.82530
n_iter = 4 J = 9.0149 max(relative change in state) = 0.57016
n_iter = 5 J = 8.1034 max(relative change in state) = 0.53249
n_iter = 6 J = 8.1024 max(relative change in state) = 0.29734E-02
n_iter = 7 J = 8.0934 max(relative change in state) = 0.79615E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 158 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 159 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 159 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.815 max(relative change in state) = -
n_iter = 2 J = 36.497 max(relative change in state) = 0.94694
n_iter = 3 J = 34.018 max(relative change in state) = 0.98686
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 159 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 160 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 160 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 83.386 max(relative change in state) = -
n_iter = 2 J = 73.556 max(relative change in state) = 1.8634
n_iter = 3 J = 72.445 max(relative change in state) = 0.76901
n_iter = 4 J = 72.427 max(relative change in state) = 0.17244
n_iter = 5 J = 72.432 max(relative change in state) = 0.53918E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 160 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 161 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 161 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 58.944 max(relative change in state) = -
n_iter = 2 J = 51.510 max(relative change in state) = 1.3226
n_iter = 3 J = 50.247 max(relative change in state) = 1.0414
n_iter = 4 J = 57.201 max(relative change in state) = 1.5286
n_iter = 5 J = 50.216 max(relative change in state) = 1.4281
n_iter = 6 J = 50.210 max(relative change in state) = 0.56948E-02
n_iter = 7 J = 50.185 max(relative change in state) = 0.13553
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 161 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 162 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 162 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 23.582 max(relative change in state) = -
n_iter = 2 J = 19.563 max(relative change in state) = 0.52200
n_iter = 3 J = 15.332 max(relative change in state) = 1.2664
n_iter = 4 J = 18.988 max(relative change in state) = 1.3802
n_iter = 5 J = 15.300 max(relative change in state) = 1.2504
n_iter = 6 J = 15.294 max(relative change in state) = 0.66298E-02
n_iter = 7 J = 15.231 max(relative change in state) = 0.19267
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 162 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 163 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 163 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 97.149 max(relative change in state) = -
n_iter = 2 J = 88.397 max(relative change in state) = 1.1319
n_iter = 3 J = 85.162 max(relative change in state) = 1.1413
n_iter = 4 J = 85.236 max(relative change in state) = 0.50997
n_iter = 5 J = 84.830 max(relative change in state) = 0.40158
n_iter = 6 J = 84.683 max(relative change in state) = 0.20305
n_iter = 7 J = 84.409 max(relative change in state) = 0.16923
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 163 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 164 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 164 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 28.039 max(relative change in state) = -
n_iter = 2 J = 24.504 max(relative change in state) = 0.46316
n_iter = 3 J = 21.346 max(relative change in state) = 1.0377
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 164 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 165 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 165 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 21.125 max(relative change in state) = -
n_iter = 2 J = 17.473 max(relative change in state) = 0.37363
n_iter = 3 J = 12.770 max(relative change in state) = 0.85062
n_iter = 4 J = 17.175 max(relative change in state) = 1.5714
n_iter = 5 J = 12.713 max(relative change in state) = 1.4028
n_iter = 6 J = 12.703 max(relative change in state) = 0.10910E-01
n_iter = 7 J = 12.629 max(relative change in state) = 0.27178
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 165 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 166 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 166 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 18.818 max(relative change in state) = -
n_iter = 2 J = 15.979 max(relative change in state) = 0.41851
n_iter = 3 J = 14.423 max(relative change in state) = 0.67610
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 166 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 167 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 167 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.242 max(relative change in state) = -
n_iter = 2 J = 35.212 max(relative change in state) = 0.64141
n_iter = 3 J = 32.433 max(relative change in state) = 0.73817
n_iter = 4 J = 33.266 max(relative change in state) = 0.67929
n_iter = 5 J = 32.228 max(relative change in state) = 0.51598
n_iter = 6 J = 32.191 max(relative change in state) = 0.49983E-01
n_iter = 7 J = 32.123 max(relative change in state) = 0.15452
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 167 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 168 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 168 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 154.61 max(relative change in state) = -
n_iter = 2 J = 139.83 max(relative change in state) = 3.5129
n_iter = 3 J = 138.19 max(relative change in state) = 0.86768
n_iter = 4 J = 140.39 max(relative change in state) = 1.3374
n_iter = 5 J = 137.55 max(relative change in state) = 1.0375
n_iter = 6 J = 137.35 max(relative change in state) = 0.11883
n_iter = 7 J = 137.24 max(relative change in state) = 0.15221
n_iter = 8 J = 136.97 max(relative change in state) = 0.10599
n_iter = 9 J = 136.78 max(relative change in state) = 0.16648
n_iter = 10 J = 136.66 max(relative change in state) = 0.14015
n_iter = 11 J = 136.57 max(relative change in state) = 0.12948
n_iter = 12 J = 136.58 max(relative change in state) = 0.14083
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 168 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 169 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 169 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 53.005 max(relative change in state) = -
n_iter = 2 J = 44.674 max(relative change in state) = 0.83791
n_iter = 3 J = 38.617 max(relative change in state) = 1.5189
n_iter = 4 J = 43.071 max(relative change in state) = 1.5847
n_iter = 5 J = 38.524 max(relative change in state) = 1.4005
n_iter = 6 J = 38.499 max(relative change in state) = 0.19640E-01
n_iter = 7 J = 38.426 max(relative change in state) = 0.28702
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 169 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 170 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 170 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 87.223 max(relative change in state) = -
n_iter = 2 J = 78.700 max(relative change in state) = 1.3211
n_iter = 3 J = 75.866 max(relative change in state) = 0.80494
n_iter = 4 J = 75.230 max(relative change in state) = 0.32078
n_iter = 5 J = 75.383 max(relative change in state) = 0.30311
n_iter = 6 J = 74.987 max(relative change in state) = 0.14587
n_iter = 7 J = 74.956 max(relative change in state) = 0.16468E-01
n_iter = 8 J = 74.913 max(relative change in state) = 0.11391
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 170 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 171 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 171 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 20.525 max(relative change in state) = -
n_iter = 2 J = 17.013 max(relative change in state) = 0.41717
n_iter = 3 J = 13.189 max(relative change in state) = 0.87838
n_iter = 4 J = 13.324 max(relative change in state) = 0.35391
n_iter = 5 J = 13.132 max(relative change in state) = 0.24375
n_iter = 6 J = 13.121 max(relative change in state) = 0.32197E-01
n_iter = 7 J = 13.099 max(relative change in state) = 0.95286E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 171 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 172 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 172 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.097 max(relative change in state) = -
n_iter = 2 J = 35.719 max(relative change in state) = 1.0262
n_iter = 3 J = 32.610 max(relative change in state) = 1.1002
n_iter = 4 J = 36.271 max(relative change in state) = 1.5340
n_iter = 5 J = 32.563 max(relative change in state) = 1.3829
n_iter = 6 J = 32.550 max(relative change in state) = 0.10443E-01
n_iter = 7 J = 32.576 max(relative change in state) = 0.28187
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 172 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 173 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 173 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 86.565 max(relative change in state) = -
n_iter = 2 J = 82.016 max(relative change in state) = 0.26375
n_iter = 3 J = 77.080 max(relative change in state) = 0.47517
n_iter = 4 J = 72.639 max(relative change in state) = 0.54398
n_iter = 5 J = 72.101 max(relative change in state) = 0.51459
n_iter = 6 J = 69.638 max(relative change in state) = 0.23788
n_iter = 7 J = 69.209 max(relative change in state) = 0.89439E-01
n_iter = 8 J = 68.910 max(relative change in state) = 0.72242E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 173 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 174 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 174 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 429.94 max(relative change in state) = -
n_iter = 2 J = 526.24 max(relative change in state) = 11.316
n_iter = 3 J = 344.25 max(relative change in state) = 7.1592
n_iter = 4 J = 341.26 max(relative change in state) = 0.85682
n_iter = 5 J = 340.90 max(relative change in state) = 0.39692
n_iter = 6 J = 340.06 max(relative change in state) = 0.16886
n_iter = 7 J = 339.70 max(relative change in state) = 0.10790
n_iter = 8 J = 339.35 max(relative change in state) = 0.11489
n_iter = 9 J = 338.83 max(relative change in state) = 0.50947
n_iter = 10 J = 338.74 max(relative change in state) = 0.18280
n_iter = 11 J = 338.55 max(relative change in state) = 0.92628E-01
n_iter = 12 J = 338.51 max(relative change in state) = 0.22733E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 174 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 175 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 175 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 497.08 max(relative change in state) = -
n_iter = 2 J = 453.98 max(relative change in state) = 3.4646
n_iter = 3 J = 444.05 max(relative change in state) = 1.9096
n_iter = 4 J = 455.44 max(relative change in state) = 1.9913
n_iter = 5 J = 443.52 max(relative change in state) = 1.4477
n_iter = 6 J = 443.20 max(relative change in state) = 0.80036E-01
n_iter = 7 J = 442.68 max(relative change in state) = 0.24801
n_iter = 8 J = 441.44 max(relative change in state) = 0.13532
n_iter = 9 J = 441.37 max(relative change in state) = 0.65716E-01
n_iter = 10 J = 441.21 max(relative change in state) = 0.65717E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 175 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 176 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 176 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 176 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 177 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 177 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 13.720 max(relative change in state) = -
n_iter = 2 J = 11.698 max(relative change in state) = 0.64394
n_iter = 3 J = 10.982 max(relative change in state) = 0.56873
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 177 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 178 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 178 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 20.805 max(relative change in state) = -
n_iter = 2 J = 17.467 max(relative change in state) = 0.46196
n_iter = 3 J = 15.227 max(relative change in state) = 0.75984
n_iter = 4 J = 17.071 max(relative change in state) = 0.81768
n_iter = 5 J = 15.213 max(relative change in state) = 0.75762
n_iter = 6 J = 15.210 max(relative change in state) = 0.33138E-02
n_iter = 7 J = 15.185 max(relative change in state) = 0.75203E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 178 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 179 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 179 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 52.515 max(relative change in state) = -
n_iter = 2 J = 45.536 max(relative change in state) = 0.80860
n_iter = 3 J = 43.797 max(relative change in state) = 0.83962
n_iter = 4 J = 43.388 max(relative change in state) = 0.29930
n_iter = 5 J = 43.315 max(relative change in state) = 0.36367
n_iter = 6 J = 43.136 max(relative change in state) = 0.12524
n_iter = 7 J = 43.111 max(relative change in state) = 0.13094E-01
n_iter = 8 J = 43.033 max(relative change in state) = 0.82633E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 179 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 180 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 180 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 158.38 max(relative change in state) = -
n_iter = 2 J = 138.60 max(relative change in state) = 4.8889
n_iter = 3 J = 131.98 max(relative change in state) = 1.5549
n_iter = 4 J = 134.59 max(relative change in state) = 1.2414
n_iter = 5 J = 131.85 max(relative change in state) = 1.0653
n_iter = 6 J = 131.84 max(relative change in state) = 0.16407E-01
n_iter = 7 J = 131.73 max(relative change in state) = 0.11186
n_iter = 8 J = 131.71 max(relative change in state) = 0.15030
n_iter = 9 J = 131.68 max(relative change in state) = 0.40633E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 180 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 181 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 181 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 78.017 max(relative change in state) = -
n_iter = 2 J = 70.062 max(relative change in state) = 0.45372
n_iter = 3 J = 61.508 max(relative change in state) = 0.68304
n_iter = 4 J = 59.899 max(relative change in state) = 0.29768
n_iter = 5 J = 65.329 max(relative change in state) = 1.5752
n_iter = 6 J = 55.935 max(relative change in state) = 1.2351
n_iter = 7 J = 52.914 max(relative change in state) = 0.49708
n_iter = 8 J = 51.133 max(relative change in state) = 0.55440
n_iter = 9 J = 49.415 max(relative change in state) = 0.67392
n_iter = 10 J = 48.466 max(relative change in state) = 0.20051
n_iter = 11 J = 47.812 max(relative change in state) = 0.25131
n_iter = 12 J = 47.046 max(relative change in state) = 0.52932
n_iter = 13 J = 46.440 max(relative change in state) = 0.99499E-01
n_iter = 14 J = 45.962 max(relative change in state) = 0.14975
n_iter = 15 J = 46.054 max(relative change in state) = 0.45767
n_iter = 16 J = 45.365 max(relative change in state) = 0.13738
n_iter = 17 J = 45.324 max(relative change in state) = 0.30525E-01
n_iter = 18 J = 45.227 max(relative change in state) = 0.13518
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 181 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 182 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 182 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 78.999 max(relative change in state) = -
n_iter = 2 J = 65.448 max(relative change in state) = 0.98975
n_iter = 3 J = 50.584 max(relative change in state) = 2.4312
n_iter = 4 J = 52.154 max(relative change in state) = 1.1317
n_iter = 5 J = 50.552 max(relative change in state) = 1.0044
n_iter = 6 J = 50.542 max(relative change in state) = 0.10906E-01
n_iter = 7 J = 50.499 max(relative change in state) = 0.26636
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 182 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 183 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 183 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 57.770 max(relative change in state) = -
n_iter = 2 J = 53.780 max(relative change in state) = 0.42773
n_iter = 3 J = 49.541 max(relative change in state) = 1.1428
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 183 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 184 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 184 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 63.267 max(relative change in state) = -
n_iter = 2 J = 54.252 max(relative change in state) = 1.2015
n_iter = 3 J = 51.667 max(relative change in state) = 1.0239
n_iter = 4 J = 52.177 max(relative change in state) = 0.64501
n_iter = 5 J = 51.657 max(relative change in state) = 0.57072
n_iter = 6 J = 51.654 max(relative change in state) = 0.10290E-01
n_iter = 7 J = 51.640 max(relative change in state) = 0.46746E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 184 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 185 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 185 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 103.42 max(relative change in state) = -
n_iter = 2 J = 90.379 max(relative change in state) = 1.3647
n_iter = 3 J = 87.889 max(relative change in state) = 1.1018
n_iter = 4 J = 89.223 max(relative change in state) = 0.82328
n_iter = 5 J = 87.894 max(relative change in state) = 0.61677
n_iter = 6 J = 87.834 max(relative change in state) = 0.95204E-01
n_iter = 7 J = 87.812 max(relative change in state) = 0.83121E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 185 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 186 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 186 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 19.321 max(relative change in state) = -
n_iter = 2 J = 16.358 max(relative change in state) = 0.46729
n_iter = 3 J = 14.898 max(relative change in state) = 0.64442
n_iter = 4 J = 16.393 max(relative change in state) = 0.96609
n_iter = 5 J = 14.888 max(relative change in state) = 0.89590
n_iter = 6 J = 14.886 max(relative change in state) = 0.41969E-02
n_iter = 7 J = 14.909 max(relative change in state) = 0.87079E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 186 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 187 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 187 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.413 max(relative change in state) = -
n_iter = 2 J = 94.797 max(relative change in state) = 2.3316
n_iter = 3 J = 87.337 max(relative change in state) = 1.3157
n_iter = 4 J = 87.857 max(relative change in state) = 0.60166
n_iter = 5 J = 87.301 max(relative change in state) = 0.47491
n_iter = 6 J = 87.293 max(relative change in state) = 0.66257E-02
n_iter = 7 J = 87.224 max(relative change in state) = 0.16026
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 187 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 188 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 188 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 15.013 max(relative change in state) = -
n_iter = 2 J = 12.640 max(relative change in state) = 0.47821
n_iter = 3 J = 11.166 max(relative change in state) = 0.57196
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 188 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 189 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 189 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 30.984 max(relative change in state) = -
n_iter = 2 J = 25.807 max(relative change in state) = 0.45815
n_iter = 3 J = 19.219 max(relative change in state) = 1.4647
n_iter = 4 J = 18.983 max(relative change in state) = 0.26752
n_iter = 5 J = 19.178 max(relative change in state) = 0.32578
n_iter = 6 J = 18.912 max(relative change in state) = 0.16061
n_iter = 7 J = 18.895 max(relative change in state) = 0.26483E-01
n_iter = 8 J = 18.874 max(relative change in state) = 0.32760E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 189 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 190 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 190 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 311.98 max(relative change in state) = -
n_iter = 2 J = 850.39 max(relative change in state) = 20.752
n_iter = 3 J = 270.21 max(relative change in state) = 15.072
n_iter = 4 J = 269.63 max(relative change in state) = 0.33539
n_iter = 5 J = 269.71 max(relative change in state) = 0.58156
n_iter = 6 J = 269.37 max(relative change in state) = 0.24886
n_iter = 7 J = 269.36 max(relative change in state) = 0.36056E-01
n_iter = 8 J = 269.35 max(relative change in state) = 0.29726E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 190 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 191 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 191 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 19.284 max(relative change in state) = -
n_iter = 2 J = 16.205 max(relative change in state) = 0.43749
n_iter = 3 J = 14.166 max(relative change in state) = 0.58620
n_iter = 4 J = 14.463 max(relative change in state) = 0.33433
n_iter = 5 J = 14.152 max(relative change in state) = 0.28328
n_iter = 6 J = 14.147 max(relative change in state) = 0.67870E-02
n_iter = 7 J = 14.125 max(relative change in state) = 0.94884E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 191 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 192 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 192 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 26.161 max(relative change in state) = -
n_iter = 2 J = 21.840 max(relative change in state) = 0.54406
n_iter = 3 J = 18.043 max(relative change in state) = 0.87350
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 192 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 193 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 193 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 61.737 max(relative change in state) = -
n_iter = 2 J = 54.279 max(relative change in state) = 1.2918
n_iter = 3 J = 53.039 max(relative change in state) = 0.60581
n_iter = 4 J = 53.646 max(relative change in state) = 0.72032
n_iter = 5 J = 52.923 max(relative change in state) = 0.56876
n_iter = 6 J = 52.906 max(relative change in state) = 0.51148E-01
n_iter = 7 J = 52.887 max(relative change in state) = 0.10549
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 193 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 194 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 194 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 59.632 max(relative change in state) = -
n_iter = 2 J = 49.685 max(relative change in state) = 0.86107
n_iter = 3 J = 43.905 max(relative change in state) = 2.2249
n_iter = 4 J = 42.755 max(relative change in state) = 0.20166
n_iter = 5 J = 41.747 max(relative change in state) = 0.59224
n_iter = 6 J = 40.619 max(relative change in state) = 0.39044
n_iter = 7 J = 40.560 max(relative change in state) = 0.71546E-01
n_iter = 8 J = 40.429 max(relative change in state) = 0.16174
n_iter = 9 J = 40.284 max(relative change in state) = 0.11276
n_iter = 10 J = 40.386 max(relative change in state) = 0.39525
n_iter = 11 J = 40.204 max(relative change in state) = 0.30161
n_iter = 12 J = 40.197 max(relative change in state) = 0.11042E-01
n_iter = 13 J = 40.192 max(relative change in state) = 0.13050E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 194 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 195 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 195 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 195 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 196 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 196 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 53.722 max(relative change in state) = -
n_iter = 2 J = 44.729 max(relative change in state) = 0.37428
n_iter = 3 J = 38.450 max(relative change in state) = 0.41238
n_iter = 4 J = 33.826 max(relative change in state) = 0.50171
n_iter = 5 J = 31.354 max(relative change in state) = 0.59529
n_iter = 6 J = 30.157 max(relative change in state) = 0.21484
n_iter = 7 J = 29.785 max(relative change in state) = 0.11497
n_iter = 8 J = 29.390 max(relative change in state) = 0.21602
n_iter = 9 J = 29.636 max(relative change in state) = 0.19448
n_iter = 10 J = 29.236 max(relative change in state) = 0.13391
n_iter = 11 J = 29.205 max(relative change in state) = 0.14106E-01
n_iter = 12 J = 29.096 max(relative change in state) = 0.93155E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 196 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 197 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 197 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 64.968 max(relative change in state) = -
n_iter = 2 J = 56.533 max(relative change in state) = 1.1473
n_iter = 3 J = 54.619 max(relative change in state) = 1.0650
n_iter = 4 J = 54.689 max(relative change in state) = 0.28837
n_iter = 5 J = 54.538 max(relative change in state) = 0.79795E-01
n_iter = 6 J = 54.537 max(relative change in state) = 0.69741E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 197 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 198 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 198 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 139.34 max(relative change in state) = -
n_iter = 2 J = 124.42 max(relative change in state) = 1.9639
n_iter = 3 J = 122.46 max(relative change in state) = 0.57739
n_iter = 4 J = 129.04 max(relative change in state) = 1.8233
n_iter = 5 J = 122.28 max(relative change in state) = 1.5639
n_iter = 6 J = 122.25 max(relative change in state) = 0.23339E-01
n_iter = 7 J = 122.16 max(relative change in state) = 0.25968
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 198 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 199 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 199 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 29.960 max(relative change in state) = -
n_iter = 2 J = 25.933 max(relative change in state) = 0.43542
n_iter = 3 J = 23.640 max(relative change in state) = 0.70304
n_iter = 4 J = 23.994 max(relative change in state) = 0.55087
n_iter = 5 J = 23.355 max(relative change in state) = 0.39898
n_iter = 6 J = 23.330 max(relative change in state) = 0.70712E-01
n_iter = 7 J = 23.291 max(relative change in state) = 0.98427E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 199 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 200 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 200 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 61.781 max(relative change in state) = -
n_iter = 2 J = 56.343 max(relative change in state) = 0.31047
n_iter = 3 J = 46.225 max(relative change in state) = 1.5111
n_iter = 4 J = 46.128 max(relative change in state) = 1.0193
n_iter = 5 J = 43.892 max(relative change in state) = 0.98371
n_iter = 6 J = 40.765 max(relative change in state) = 0.26892
n_iter = 7 J = 39.840 max(relative change in state) = 0.45380
n_iter = 8 J = 37.941 max(relative change in state) = 0.29031
n_iter = 9 J = 34.692 max(relative change in state) = 0.68482
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 200 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 201 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 201 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 64.894 max(relative change in state) = -
n_iter = 2 J = 55.845 max(relative change in state) = 1.2772
n_iter = 3 J = 53.239 max(relative change in state) = 1.2381
n_iter = 4 J = 53.396 max(relative change in state) = 0.48097
n_iter = 5 J = 53.194 max(relative change in state) = 0.38382
n_iter = 6 J = 53.188 max(relative change in state) = 0.33368E-01
n_iter = 7 J = 53.185 max(relative change in state) = 0.48437E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 201 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 202 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 202 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 38.138 max(relative change in state) = -
n_iter = 2 J = 32.873 max(relative change in state) = 0.50823
n_iter = 3 J = 30.015 max(relative change in state) = 0.75367
n_iter = 4 J = 29.852 max(relative change in state) = 0.28723
n_iter = 5 J = 29.851 max(relative change in state) = 0.44620
n_iter = 6 J = 29.704 max(relative change in state) = 0.19047
n_iter = 7 J = 29.681 max(relative change in state) = 0.59611E-01
n_iter = 8 J = 29.638 max(relative change in state) = 0.91784E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 202 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 203 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 203 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 101.93 max(relative change in state) = -
n_iter = 2 J = 89.362 max(relative change in state) = 1.6474
n_iter = 3 J = 87.884 max(relative change in state) = 1.2776
n_iter = 4 J = 91.014 max(relative change in state) = 1.4549
n_iter = 5 J = 87.583 max(relative change in state) = 1.0577
n_iter = 6 J = 87.562 max(relative change in state) = 0.20915E-01
n_iter = 7 J = 87.480 max(relative change in state) = 0.16956
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 203 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 204 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 204 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 82.634 max(relative change in state) = -
n_iter = 2 J = 70.647 max(relative change in state) = 0.86245
n_iter = 3 J = 65.847 max(relative change in state) = 1.0998
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 204 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 205 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 205 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 143.48 max(relative change in state) = -
n_iter = 2 J = 129.41 max(relative change in state) = 2.5229
n_iter = 3 J = 125.89 max(relative change in state) = 0.67661
n_iter = 4 J = 127.99 max(relative change in state) = 1.0474
n_iter = 5 J = 125.79 max(relative change in state) = 0.88161
n_iter = 6 J = 125.76 max(relative change in state) = 0.19362E-01
n_iter = 7 J = 125.61 max(relative change in state) = 0.29293
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 205 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 206 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 206 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 38.104 max(relative change in state) = -
n_iter = 2 J = 31.789 max(relative change in state) = 0.66637
n_iter = 3 J = 26.436 max(relative change in state) = 1.0257
n_iter = 4 J = 26.413 max(relative change in state) = 0.13585
n_iter = 5 J = 26.332 max(relative change in state) = 0.78462E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 206 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 207 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 207 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 73.414 max(relative change in state) = -
n_iter = 2 J = 63.351 max(relative change in state) = 1.1376
n_iter = 3 J = 60.855 max(relative change in state) = 0.89276
n_iter = 4 J = 66.231 max(relative change in state) = 1.7639
n_iter = 5 J = 60.557 max(relative change in state) = 1.3672
n_iter = 6 J = 60.542 max(relative change in state) = 0.22294E-01
n_iter = 7 J = 60.477 max(relative change in state) = 0.15612
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 207 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 208 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 208 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 21.514 max(relative change in state) = -
n_iter = 2 J = 18.525 max(relative change in state) = 0.46559
n_iter = 3 J = 16.957 max(relative change in state) = 0.62913
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 208 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 209 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 209 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.265 max(relative change in state) = -
n_iter = 2 J = 23.861 max(relative change in state) = 0.49050
n_iter = 3 J = 21.681 max(relative change in state) = 0.64803
n_iter = 4 J = 21.686 max(relative change in state) = 0.17066
n_iter = 5 J = 21.590 max(relative change in state) = 0.13049
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 209 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 210 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 210 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 46.678 max(relative change in state) = -
n_iter = 2 J = 41.026 max(relative change in state) = 1.2805
n_iter = 3 J = 40.007 max(relative change in state) = 0.37317
n_iter = 4 J = 41.450 max(relative change in state) = 0.92353
n_iter = 5 J = 39.973 max(relative change in state) = 0.82301
n_iter = 6 J = 39.963 max(relative change in state) = 0.10069E-01
n_iter = 7 J = 39.920 max(relative change in state) = 0.17633
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 210 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 211 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 211 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 107.68 max(relative change in state) = -
n_iter = 2 J = 91.674 max(relative change in state) = 0.95527
n_iter = 3 J = 83.149 max(relative change in state) = 1.8707
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 211 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 212 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 212 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 86.921 max(relative change in state) = -
n_iter = 2 J = 74.720 max(relative change in state) = 0.74749
n_iter = 3 J = 65.891 max(relative change in state) = 1.7903
n_iter = 4 J = 65.579 max(relative change in state) = 0.46490
n_iter = 5 J = 65.269 max(relative change in state) = 0.62643
n_iter = 6 J = 64.879 max(relative change in state) = 0.15928
n_iter = 7 J = 64.739 max(relative change in state) = 0.12827
n_iter = 8 J = 64.608 max(relative change in state) = 0.95449E-01
n_iter = 9 J = 64.277 max(relative change in state) = 0.20207
n_iter = 10 J = 64.121 max(relative change in state) = 0.20884
n_iter = 11 J = 64.021 max(relative change in state) = 0.61980E-01
n_iter = 12 J = 63.914 max(relative change in state) = 0.14553
n_iter = 13 J = 63.895 max(relative change in state) = 0.35625E-01
n_iter = 14 J = 63.916 max(relative change in state) = 0.77537E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 212 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 213 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 213 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 109.12 max(relative change in state) = -
n_iter = 2 J = 94.682 max(relative change in state) = 1.9163
n_iter = 3 J = 91.261 max(relative change in state) = 0.90246
n_iter = 4 J = 96.891 max(relative change in state) = 1.8862
n_iter = 5 J = 91.091 max(relative change in state) = 1.6421
n_iter = 6 J = 91.038 max(relative change in state) = 0.30345E-01
n_iter = 7 J = 90.822 max(relative change in state) = 0.41972
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 213 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 214 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 214 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 58.012 max(relative change in state) = -
n_iter = 2 J = 51.014 max(relative change in state) = 0.29630
n_iter = 3 J = 44.194 max(relative change in state) = 0.53131
n_iter = 4 J = 38.290 max(relative change in state) = 2.0870
n_iter = 5 J = 38.211 max(relative change in state) = 0.42425
n_iter = 6 J = 37.813 max(relative change in state) = 0.74212
n_iter = 7 J = 34.266 max(relative change in state) = 0.32533
n_iter = 8 J = 33.735 max(relative change in state) = 0.81284E-01
n_iter = 9 J = 33.005 max(relative change in state) = 0.29398
n_iter = 10 J = 32.458 max(relative change in state) = 0.37521
n_iter = 11 J = 32.271 max(relative change in state) = 0.13880
n_iter = 12 J = 32.086 max(relative change in state) = 0.59831E-01
n_iter = 13 J = 32.031 max(relative change in state) = 0.27126E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 214 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 215 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 215 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 81.632 max(relative change in state) = -
n_iter = 2 J = 72.762 max(relative change in state) = 2.2526
n_iter = 3 J = 72.253 max(relative change in state) = 0.76433
n_iter = 4 J = 73.463 max(relative change in state) = 0.89966
n_iter = 5 J = 72.192 max(relative change in state) = 0.74824
n_iter = 6 J = 72.177 max(relative change in state) = 0.12726E-01
n_iter = 7 J = 72.109 max(relative change in state) = 0.18968
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 215 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 216 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 216 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 216 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 217 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 217 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 596.99 max(relative change in state) = -
n_iter = 2 J = 2008.5 max(relative change in state) = 24.016
n_iter = 3 J = 534.45 max(relative change in state) = 20.756
n_iter = 4 J = 538.66 max(relative change in state) = 1.8660
n_iter = 5 J = 532.60 max(relative change in state) = 1.3402
n_iter = 6 J = 532.13 max(relative change in state) = 0.12313
n_iter = 7 J = 530.82 max(relative change in state) = 0.42684
n_iter = 8 J = 529.93 max(relative change in state) = 0.55389
n_iter = 9 J = 529.62 max(relative change in state) = 0.24417
n_iter = 10 J = 529.55 max(relative change in state) = 0.21414
n_iter = 11 J = 529.48 max(relative change in state) = 0.15332
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 217 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 218 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 218 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 55.419 max(relative change in state) = -
n_iter = 2 J = 47.711 max(relative change in state) = 1.1869
n_iter = 3 J = 45.525 max(relative change in state) = 0.84095
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 218 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 219 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 219 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 172.30 max(relative change in state) = -
n_iter = 2 J = 158.79 max(relative change in state) = 0.93681
n_iter = 3 J = 148.04 max(relative change in state) = 1.4253
n_iter = 4 J = 144.19 max(relative change in state) = 0.27294
n_iter = 5 J = 142.72 max(relative change in state) = 0.23172
n_iter = 6 J = 140.99 max(relative change in state) = 0.37198
n_iter = 7 J = 139.79 max(relative change in state) = 0.90087
n_iter = 8 J = 140.49 max(relative change in state) = 0.32738
n_iter = 9 J = 138.97 max(relative change in state) = 0.22711
n_iter = 10 J = 138.62 max(relative change in state) = 0.10656
n_iter = 11 J = 138.31 max(relative change in state) = 0.19418
n_iter = 12 J = 138.08 max(relative change in state) = 0.74566E-01
n_iter = 13 J = 137.92 max(relative change in state) = 0.78222E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 219 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 220 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 220 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 30.784 max(relative change in state) = -
n_iter = 2 J = 25.581 max(relative change in state) = 0.78777
n_iter = 3 J = 20.442 max(relative change in state) = 1.8111
n_iter = 4 J = 23.148 max(relative change in state) = 1.1667
n_iter = 5 J = 20.429 max(relative change in state) = 1.0873
n_iter = 6 J = 20.427 max(relative change in state) = 0.31332E-02
n_iter = 7 J = 20.408 max(relative change in state) = 0.88664E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 220 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 221 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 221 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 26.513 max(relative change in state) = -
n_iter = 2 J = 22.190 max(relative change in state) = 0.41446
n_iter = 3 J = 17.546 max(relative change in state) = 0.85801
n_iter = 4 J = 18.904 max(relative change in state) = 0.91497
n_iter = 5 J = 17.267 max(relative change in state) = 0.69031
n_iter = 6 J = 17.210 max(relative change in state) = 0.51039E-01
n_iter = 7 J = 17.066 max(relative change in state) = 0.19581
n_iter = 8 J = 17.008 max(relative change in state) = 0.10253
n_iter = 9 J = 16.996 max(relative change in state) = 0.61312E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 221 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 222 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 222 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 86.275 max(relative change in state) = -
n_iter = 2 J = 80.658 max(relative change in state) = 0.35666
n_iter = 3 J = 64.635 max(relative change in state) = 1.9559
n_iter = 4 J = 69.347 max(relative change in state) = 1.7288
n_iter = 5 J = 63.901 max(relative change in state) = 1.6649
n_iter = 6 J = 63.268 max(relative change in state) = 0.11766
n_iter = 7 J = 62.810 max(relative change in state) = 0.51754
n_iter = 8 J = 61.723 max(relative change in state) = 0.22735
n_iter = 9 J = 61.069 max(relative change in state) = 0.18281
n_iter = 10 J = 60.692 max(relative change in state) = 0.24234
n_iter = 11 J = 60.664 max(relative change in state) = 0.50499
n_iter = 12 J = 60.301 max(relative change in state) = 0.23225
n_iter = 13 J = 60.302 max(relative change in state) = 0.29017
n_iter = 14 J = 60.069 max(relative change in state) = 0.13190
n_iter = 15 J = 60.022 max(relative change in state) = 0.26027
n_iter = 16 J = 59.757 max(relative change in state) = 0.10595
n_iter = 17 J = 59.700 max(relative change in state) = 0.17802
n_iter = 18 J = 59.484 max(relative change in state) = 0.14932
n_iter = 19 J = 59.339 max(relative change in state) = 0.97420E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 20.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 222 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 223 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 223 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 45.866 max(relative change in state) = -
n_iter = 2 J = 40.144 max(relative change in state) = 1.2400
n_iter = 3 J = 39.639 max(relative change in state) = 0.33355
n_iter = 4 J = 41.888 max(relative change in state) = 0.73121
n_iter = 5 J = 39.622 max(relative change in state) = 0.66073
n_iter = 6 J = 39.621 max(relative change in state) = 0.55173E-02
n_iter = 7 J = 39.617 max(relative change in state) = 0.21833E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 223 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 224 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 224 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 114.46 max(relative change in state) = -
n_iter = 2 J = 103.91 max(relative change in state) = 2.4289
n_iter = 3 J = 103.39 max(relative change in state) = 0.63068
n_iter = 4 J = 104.85 max(relative change in state) = 1.0504
n_iter = 5 J = 103.34 max(relative change in state) = 0.72318
n_iter = 6 J = 103.29 max(relative change in state) = 0.10099
n_iter = 7 J = 103.27 max(relative change in state) = 0.37010E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 224 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 225 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 225 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 1702.6 max(relative change in state) = -
n_iter = 2 J = 7845.4 max(relative change in state) = 67.226
n_iter = 3 J = 1438.5 max(relative change in state) = 53.112
n_iter = 4 J = 1451.6 max(relative change in state) = 2.5533
n_iter = 5 J = 1434.3 max(relative change in state) = 1.8746
n_iter = 6 J = 1433.6 max(relative change in state) = 0.20159
n_iter = 7 J = 1432.3 max(relative change in state) = 0.61300
n_iter = 8 J = 1431.6 max(relative change in state) = 0.29447
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 225 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 226 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 226 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 8.7820 max(relative change in state) = -
n_iter = 2 J = 7.4220 max(relative change in state) = 0.33357
n_iter = 3 J = 6.7278 max(relative change in state) = 0.44140
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 226 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 227 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 227 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 10.316 max(relative change in state) = -
n_iter = 2 J = 8.7911 max(relative change in state) = 0.40524
n_iter = 3 J = 8.1732 max(relative change in state) = 0.44162
n_iter = 4 J = 8.8410 max(relative change in state) = 0.56601
n_iter = 5 J = 8.1688 max(relative change in state) = 0.52521
n_iter = 6 J = 8.1676 max(relative change in state) = 0.35013E-02
n_iter = 7 J = 8.1628 max(relative change in state) = 0.89120E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 227 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 228 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 228 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 106.78 max(relative change in state) = -
n_iter = 2 J = 93.115 max(relative change in state) = 1.4830
n_iter = 3 J = 90.279 max(relative change in state) = 1.0101
n_iter = 4 J = 96.142 max(relative change in state) = 1.8578
n_iter = 5 J = 90.218 max(relative change in state) = 1.6899
n_iter = 6 J = 90.200 max(relative change in state) = 0.92474E-02
n_iter = 7 J = 90.156 max(relative change in state) = 0.22376
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 228 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 229 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 229 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.621 max(relative change in state) = -
n_iter = 2 J = 35.832 max(relative change in state) = 0.51848
n_iter = 3 J = 28.042 max(relative change in state) = 1.1657
n_iter = 4 J = 30.265 max(relative change in state) = 1.2669
n_iter = 5 J = 27.735 max(relative change in state) = 1.0220
n_iter = 6 J = 27.622 max(relative change in state) = 0.58136E-01
n_iter = 7 J = 27.326 max(relative change in state) = 0.43972
n_iter = 8 J = 27.175 max(relative change in state) = 0.36024
n_iter = 9 J = 27.087 max(relative change in state) = 0.92964E-01
n_iter = 10 J = 27.098 max(relative change in state) = 0.20407
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 229 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 230 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 230 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 20.514 max(relative change in state) = -
n_iter = 2 J = 17.449 max(relative change in state) = 0.45975
n_iter = 3 J = 15.931 max(relative change in state) = 0.71892
n_iter = 4 J = 16.656 max(relative change in state) = 0.52692
n_iter = 5 J = 15.912 max(relative change in state) = 0.46597
n_iter = 6 J = 15.905 max(relative change in state) = 0.11426E-01
n_iter = 7 J = 15.884 max(relative change in state) = 0.12595
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 230 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 231 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 231 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 187.06 max(relative change in state) = -
n_iter = 2 J = 227.11 max(relative change in state) = 7.4898
n_iter = 3 J = 161.13 max(relative change in state) = 5.1313
n_iter = 4 J = 161.62 max(relative change in state) = 0.55322
n_iter = 5 J = 160.71 max(relative change in state) = 0.36682
n_iter = 6 J = 160.64 max(relative change in state) = 0.79546E-01
n_iter = 7 J = 160.58 max(relative change in state) = 0.11823
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 231 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 232 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 232 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 28.426 max(relative change in state) = -
n_iter = 2 J = 23.470 max(relative change in state) = 0.53419
n_iter = 3 J = 17.219 max(relative change in state) = 1.4399
n_iter = 4 J = 20.917 max(relative change in state) = 1.5053
n_iter = 5 J = 17.178 max(relative change in state) = 1.3507
n_iter = 6 J = 17.174 max(relative change in state) = 0.64358E-02
n_iter = 7 J = 17.123 max(relative change in state) = 0.19008
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 232 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 233 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 233 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 78.250 max(relative change in state) = -
n_iter = 2 J = 65.214 max(relative change in state) = 0.94350
n_iter = 3 J = 53.638 max(relative change in state) = 1.8872
n_iter = 4 J = 59.027 max(relative change in state) = 1.9113
n_iter = 5 J = 53.502 max(relative change in state) = 1.6607
n_iter = 6 J = 53.469 max(relative change in state) = 0.14831E-01
n_iter = 7 J = 53.387 max(relative change in state) = 0.30975
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 233 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 234 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 234 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.354 max(relative change in state) = -
n_iter = 2 J = 34.463 max(relative change in state) = 0.38603
n_iter = 3 J = 26.870 max(relative change in state) = 0.68976
n_iter = 4 J = 24.997 max(relative change in state) = 0.53892
n_iter = 5 J = 25.639 max(relative change in state) = 1.1252
n_iter = 6 J = 20.048 max(relative change in state) = 0.71747
n_iter = 7 J = 19.205 max(relative change in state) = 0.35516
n_iter = 8 J = 18.545 max(relative change in state) = 0.20264
n_iter = 9 J = 19.180 max(relative change in state) = 0.60237
n_iter = 10 J = 18.061 max(relative change in state) = 0.37133
n_iter = 11 J = 17.899 max(relative change in state) = 0.53421E-01
n_iter = 12 J = 17.832 max(relative change in state) = 0.12219
n_iter = 13 J = 17.649 max(relative change in state) = 0.51811E-01
n_iter = 14 J = 17.596 max(relative change in state) = 0.24181
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 234 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 235 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 235 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 85.699 max(relative change in state) = -
n_iter = 2 J = 73.556 max(relative change in state) = 1.7263
n_iter = 3 J = 70.125 max(relative change in state) = 1.2871
n_iter = 4 J = 71.270 max(relative change in state) = 0.96815
n_iter = 5 J = 70.058 max(relative change in state) = 0.80789
n_iter = 6 J = 70.038 max(relative change in state) = 0.18531E-01
n_iter = 7 J = 69.939 max(relative change in state) = 0.22781
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 235 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 236 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 236 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 373.59 max(relative change in state) = -
n_iter = 2 J = 331.86 max(relative change in state) = 1.7206
n_iter = 3 J = 308.35 max(relative change in state) = 0.66569
n_iter = 4 J = 292.74 max(relative change in state) = 0.77881
n_iter = 5 J = 271.08 max(relative change in state) = 0.56964
n_iter = 6 J = 260.40 max(relative change in state) = 0.72023
n_iter = 7 J = 251.95 max(relative change in state) = 0.79069
n_iter = 8 J = 250.07 max(relative change in state) = 0.18007
n_iter = 9 J = 247.61 max(relative change in state) = 0.33728
n_iter = 10 J = 246.22 max(relative change in state) = 0.78346
n_iter = 11 J = 245.04 max(relative change in state) = 0.26457
n_iter = 12 J = 244.76 max(relative change in state) = 0.53343E-01
n_iter = 13 J = 243.90 max(relative change in state) = 0.29130
n_iter = 14 J = 243.49 max(relative change in state) = 0.28399
n_iter = 15 J = 243.24 max(relative change in state) = 0.11459
n_iter = 16 J = 243.08 max(relative change in state) = 0.12330
n_iter = 17 J = 242.94 max(relative change in state) = 0.24906
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 236 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 237 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 237 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 237 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 238 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 238 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 66.013 max(relative change in state) = -
n_iter = 2 J = 61.949 max(relative change in state) = 0.76107
n_iter = 3 J = 56.970 max(relative change in state) = 0.22667
n_iter = 4 J = 53.686 max(relative change in state) = 0.45567
n_iter = 5 J = 52.013 max(relative change in state) = 0.48608
n_iter = 6 J = 51.340 max(relative change in state) = 0.35234
n_iter = 7 J = 50.369 max(relative change in state) = 0.99634E-01
n_iter = 8 J = 50.051 max(relative change in state) = 0.82545E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 238 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 239 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 239 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 122.16 max(relative change in state) = -
n_iter = 2 J = 105.04 max(relative change in state) = 0.86175
n_iter = 3 J = 83.038 max(relative change in state) = 2.3798
n_iter = 4 J = 88.561 max(relative change in state) = 1.7764
n_iter = 5 J = 82.317 max(relative change in state) = 1.4698
n_iter = 6 J = 81.987 max(relative change in state) = 0.89781E-01
n_iter = 7 J = 81.809 max(relative change in state) = 0.35609
n_iter = 8 J = 81.271 max(relative change in state) = 0.11059
n_iter = 9 J = 81.106 max(relative change in state) = 0.32257
n_iter = 10 J = 80.795 max(relative change in state) = 0.48730
n_iter = 11 J = 80.526 max(relative change in state) = 0.13663
n_iter = 12 J = 80.301 max(relative change in state) = 0.19512
n_iter = 13 J = 80.102 max(relative change in state) = 0.12212
n_iter = 14 J = 80.095 max(relative change in state) = 0.35184
n_iter = 15 J = 79.885 max(relative change in state) = 0.11540
n_iter = 16 J = 79.857 max(relative change in state) = 0.36475E-01
n_iter = 17 J = 79.790 max(relative change in state) = 0.47349E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 17.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 239 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 240 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 240 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.080 max(relative change in state) = -
n_iter = 2 J = 35.747 max(relative change in state) = 1.0196
n_iter = 3 J = 33.206 max(relative change in state) = 0.98001
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 240 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 241 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 241 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 354.42 max(relative change in state) = -
n_iter = 2 J = 716.59 max(relative change in state) = 24.229
n_iter = 3 J = 287.19 max(relative change in state) = 15.823
n_iter = 4 J = 343.99 max(relative change in state) = 5.3956
n_iter = 5 J = 286.83 max(relative change in state) = 4.9741
n_iter = 6 J = 286.78 max(relative change in state) = 0.18103E-01
n_iter = 7 J = 286.53 max(relative change in state) = 0.42360
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 241 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 242 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 242 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 29.996 max(relative change in state) = -
n_iter = 2 J = 26.953 max(relative change in state) = 0.86323
n_iter = 3 J = 26.647 max(relative change in state) = 0.27040
n_iter = 4 J = 26.809 max(relative change in state) = 0.40421
n_iter = 5 J = 26.629 max(relative change in state) = 0.33208
n_iter = 6 J = 26.624 max(relative change in state) = 0.20296E-01
n_iter = 7 J = 26.616 max(relative change in state) = 0.69036E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 242 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 243 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 243 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 71.421 max(relative change in state) = -
n_iter = 2 J = 65.560 max(relative change in state) = 0.87276
n_iter = 3 J = 64.357 max(relative change in state) = 0.66387
n_iter = 4 J = 66.691 max(relative change in state) = 0.83215
n_iter = 5 J = 64.225 max(relative change in state) = 0.77353
n_iter = 6 J = 64.136 max(relative change in state) = 0.28954E-01
n_iter = 7 J = 64.057 max(relative change in state) = 0.12967
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 243 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 244 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 244 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 53.253 max(relative change in state) = -
n_iter = 2 J = 45.711 max(relative change in state) = 1.1189
n_iter = 3 J = 43.565 max(relative change in state) = 0.98998
n_iter = 4 J = 45.459 max(relative change in state) = 0.82115
n_iter = 5 J = 43.557 max(relative change in state) = 0.77165
n_iter = 6 J = 43.555 max(relative change in state) = 0.43012E-02
n_iter = 7 J = 43.538 max(relative change in state) = 0.12207
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 244 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 245 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 245 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 157.70 max(relative change in state) = -
n_iter = 2 J = 144.89 max(relative change in state) = 5.8035
n_iter = 3 J = 135.35 max(relative change in state) = 1.9820
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 245 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 246 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 246 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 181.19 max(relative change in state) = -
n_iter = 2 J = 213.65 max(relative change in state) = 6.4834
n_iter = 3 J = 163.25 max(relative change in state) = 3.7305
n_iter = 4 J = 189.15 max(relative change in state) = 3.8875
n_iter = 5 J = 162.91 max(relative change in state) = 3.5369
n_iter = 6 J = 162.79 max(relative change in state) = 0.40350E-01
n_iter = 7 J = 163.77 max(relative change in state) = 0.21047
n_iter = 8 J = 162.68 max(relative change in state) = 0.18455
n_iter = 9 J = 162.59 max(relative change in state) = 0.32193E-01
n_iter = 10 J = 162.45 max(relative change in state) = 0.20078
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 246 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 247 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 247 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 513.48 max(relative change in state) = -
n_iter = 2 J = 1500.8 max(relative change in state) = 33.022
n_iter = 3 J = 426.89 max(relative change in state) = 24.018
n_iter = 4 J = 433.31 max(relative change in state) = 1.9413
n_iter = 5 J = 426.63 max(relative change in state) = 1.6679
n_iter = 6 J = 426.56 max(relative change in state) = 0.35364E-01
n_iter = 7 J = 426.23 max(relative change in state) = 0.40007
n_iter = 8 J = 426.48 max(relative change in state) = 0.32141
n_iter = 9 J = 426.20 max(relative change in state) = 0.21282
n_iter = 10 J = 426.19 max(relative change in state) = 0.10544E-01
n_iter = 11 J = 426.17 max(relative change in state) = 0.91992E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 247 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 248 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 248 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 115.22 max(relative change in state) = -
n_iter = 2 J = 98.283 max(relative change in state) = 1.6340
n_iter = 3 J = 91.270 max(relative change in state) = 1.6452
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 248 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 249 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 249 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 76.461 max(relative change in state) = -
n_iter = 2 J = 63.988 max(relative change in state) = 1.1135
n_iter = 3 J = 55.245 max(relative change in state) = 1.8544
n_iter = 4 J = 60.594 max(relative change in state) = 2.1980
n_iter = 5 J = 55.172 max(relative change in state) = 2.0206
n_iter = 6 J = 55.138 max(relative change in state) = 0.14545E-01
n_iter = 7 J = 55.215 max(relative change in state) = 0.22126
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 249 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 250 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 250 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.899 max(relative change in state) = -
n_iter = 2 J = 26.941 max(relative change in state) = 0.56772
n_iter = 3 J = 23.077 max(relative change in state) = 0.84867
n_iter = 4 J = 24.718 max(relative change in state) = 0.79197
n_iter = 5 J = 22.954 max(relative change in state) = 0.69744
n_iter = 6 J = 22.875 max(relative change in state) = 0.34812E-01
n_iter = 7 J = 22.811 max(relative change in state) = 0.10092
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 250 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 251 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 251 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 78.699 max(relative change in state) = -
n_iter = 2 J = 66.443 max(relative change in state) = 1.1230
n_iter = 3 J = 58.661 max(relative change in state) = 1.7882
n_iter = 4 J = 64.860 max(relative change in state) = 1.9477
n_iter = 5 J = 58.541 max(relative change in state) = 1.7232
n_iter = 6 J = 58.510 max(relative change in state) = 0.23543E-01
n_iter = 7 J = 58.458 max(relative change in state) = 0.44501
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 251 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 252 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 252 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 24.297 max(relative change in state) = -
n_iter = 2 J = 20.587 max(relative change in state) = 0.51133
n_iter = 3 J = 18.289 max(relative change in state) = 0.89780
n_iter = 4 J = 18.195 max(relative change in state) = 0.16840
n_iter = 5 J = 18.594 max(relative change in state) = 0.14194
n_iter = 6 J = 18.173 max(relative change in state) = 0.11613
n_iter = 7 J = 18.168 max(relative change in state) = 0.91849E-02
n_iter = 8 J = 18.167 max(relative change in state) = 0.33293E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 252 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 253 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 253 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 85.289 max(relative change in state) = -
n_iter = 2 J = 70.418 max(relative change in state) = 0.84235
n_iter = 3 J = 50.934 max(relative change in state) = 2.3817
n_iter = 4 J = 51.682 max(relative change in state) = 0.78595
n_iter = 5 J = 50.881 max(relative change in state) = 0.64694
n_iter = 6 J = 50.865 max(relative change in state) = 0.17897E-01
n_iter = 7 J = 50.782 max(relative change in state) = 0.15580
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 253 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 254 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 254 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 102.44 max(relative change in state) = -
n_iter = 2 J = 92.136 max(relative change in state) = 1.0252
n_iter = 3 J = 85.820 max(relative change in state) = 1.5766
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 254 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 255 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 255 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 146.92 max(relative change in state) = -
n_iter = 2 J = 126.51 max(relative change in state) = 2.0154
n_iter = 3 J = 120.35 max(relative change in state) = 0.93798
n_iter = 4 J = 120.06 max(relative change in state) = 0.52675
n_iter = 5 J = 119.32 max(relative change in state) = 0.29666
n_iter = 6 J = 119.23 max(relative change in state) = 0.13934
n_iter = 7 J = 119.15 max(relative change in state) = 0.13638
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 255 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 256 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 256 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 127.10 max(relative change in state) = -
n_iter = 2 J = 109.84 max(relative change in state) = 1.3082
n_iter = 3 J = 104.82 max(relative change in state) = 1.6328
n_iter = 4 J = 111.72 max(relative change in state) = 1.9466
n_iter = 5 J = 104.75 max(relative change in state) = 1.7887
n_iter = 6 J = 104.73 max(relative change in state) = 0.18107E-01
n_iter = 7 J = 104.69 max(relative change in state) = 0.27486
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 256 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 257 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 257 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 324.66 max(relative change in state) = -
n_iter = 2 J = 564.96 max(relative change in state) = 12.337
n_iter = 3 J = 267.56 max(relative change in state) = 8.7726
n_iter = 4 J = 267.62 max(relative change in state) = 0.81036
n_iter = 5 J = 266.22 max(relative change in state) = 0.41109
n_iter = 6 J = 265.98 max(relative change in state) = 0.25033
n_iter = 7 J = 265.87 max(relative change in state) = 0.11751
n_iter = 8 J = 265.51 max(relative change in state) = 0.20923
n_iter = 9 J = 264.94 max(relative change in state) = 0.35156
n_iter = 10 J = 264.78 max(relative change in state) = 0.35428
n_iter = 11 J = 265.03 max(relative change in state) = 0.53719
n_iter = 12 J = 264.72 max(relative change in state) = 0.38781
n_iter = 13 J = 264.71 max(relative change in state) = 0.18779E-01
n_iter = 14 J = 264.65 max(relative change in state) = 0.89107E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 257 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 258 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 258 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 165.14 max(relative change in state) = -
n_iter = 2 J = 156.59 max(relative change in state) = 4.5889
n_iter = 3 J = 139.24 max(relative change in state) = 2.5687
n_iter = 4 J = 142.80 max(relative change in state) = 1.5381
n_iter = 5 J = 139.08 max(relative change in state) = 1.3015
n_iter = 6 J = 139.02 max(relative change in state) = 0.23348E-01
n_iter = 7 J = 138.80 max(relative change in state) = 0.48843
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 258 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 259 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 259 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 34.335 max(relative change in state) = -
n_iter = 2 J = 28.731 max(relative change in state) = 0.61275
n_iter = 3 J = 24.431 max(relative change in state) = 0.98928
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 259 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 260 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 260 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 304.40 max(relative change in state) = -
n_iter = 2 J = 217.28 max(relative change in state) = 5.1109
n_iter = 3 J = 210.84 max(relative change in state) = 1.0256
n_iter = 4 J = 205.02 max(relative change in state) = 1.1862
n_iter = 5 J = 206.06 max(relative change in state) = 0.98183
n_iter = 6 J = 203.65 max(relative change in state) = 0.49200
n_iter = 7 J = 203.11 max(relative change in state) = 0.95323E-01
n_iter = 8 J = 202.99 max(relative change in state) = 0.56610E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 260 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 261 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 261 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.104 max(relative change in state) = -
n_iter = 2 J = 27.523 max(relative change in state) = 0.72265
n_iter = 3 J = 22.148 max(relative change in state) = 1.5069
n_iter = 4 J = 26.680 max(relative change in state) = 1.6285
n_iter = 5 J = 22.098 max(relative change in state) = 1.4786
n_iter = 6 J = 22.090 max(relative change in state) = 0.43186E-02
n_iter = 7 J = 22.022 max(relative change in state) = 0.11357
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 261 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 262 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 262 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 96.368 max(relative change in state) = -
n_iter = 2 J = 83.217 max(relative change in state) = 1.2788
n_iter = 3 J = 79.661 max(relative change in state) = 1.4686
n_iter = 4 J = 81.803 max(relative change in state) = 1.2782
n_iter = 5 J = 79.638 max(relative change in state) = 1.1683
n_iter = 6 J = 79.632 max(relative change in state) = 0.79295E-02
n_iter = 7 J = 79.605 max(relative change in state) = 0.13833
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 262 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 263 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 263 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 114.90 max(relative change in state) = -
n_iter = 2 J = 98.508 max(relative change in state) = 1.0809
n_iter = 3 J = 85.779 max(relative change in state) = 2.2453
n_iter = 4 J = 94.326 max(relative change in state) = 2.0797
n_iter = 5 J = 85.297 max(relative change in state) = 1.7608
n_iter = 6 J = 85.167 max(relative change in state) = 0.35190E-01
n_iter = 7 J = 84.410 max(relative change in state) = 0.32469
n_iter = 8 J = 84.650 max(relative change in state) = 0.53410
n_iter = 9 J = 84.284 max(relative change in state) = 0.33765
n_iter = 10 J = 84.259 max(relative change in state) = 0.39351E-01
n_iter = 11 J = 84.203 max(relative change in state) = 0.73957E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 263 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 264 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 264 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.842 max(relative change in state) = -
n_iter = 2 J = 64.578 max(relative change in state) = 0.49342
n_iter = 3 J = 57.163 max(relative change in state) = 2.1010
n_iter = 4 J = 56.769 max(relative change in state) = 0.54801
n_iter = 5 J = 55.858 max(relative change in state) = 0.25035
n_iter = 6 J = 54.791 max(relative change in state) = 0.25088
n_iter = 7 J = 54.150 max(relative change in state) = 0.20379
n_iter = 8 J = 53.788 max(relative change in state) = 0.13200
n_iter = 9 J = 53.634 max(relative change in state) = 0.14515
n_iter = 10 J = 53.637 max(relative change in state) = 0.19555
n_iter = 11 J = 53.732 max(relative change in state) = 0.18284
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 264 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 265 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 265 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 265.26 max(relative change in state) = -
n_iter = 2 J = 373.79 max(relative change in state) = 11.762
n_iter = 3 J = 211.56 max(relative change in state) = 7.4188
n_iter = 4 J = 215.19 max(relative change in state) = 1.5938
n_iter = 5 J = 211.47 max(relative change in state) = 1.4028
n_iter = 6 J = 211.44 max(relative change in state) = 0.22700E-01
n_iter = 7 J = 211.34 max(relative change in state) = 0.61670
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 265 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 266 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 266 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 1025.2 max(relative change in state) = -
n_iter = 2 J = 14904. max(relative change in state) = 61.657
n_iter = 3 J = 964.59 max(relative change in state) = 58.982
n_iter = 4 J = 1011.5 max(relative change in state) = 4.8353
n_iter = 5 J = 964.22 max(relative change in state) = 4.4053
n_iter = 6 J = 964.17 max(relative change in state) = 0.25481E-01
n_iter = 7 J = 963.42 max(relative change in state) = 0.72361
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 266 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 267 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 267 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 45.701 max(relative change in state) = -
n_iter = 2 J = 39.784 max(relative change in state) = 0.94427
n_iter = 3 J = 37.743 max(relative change in state) = 0.77608
n_iter = 4 J = 43.028 max(relative change in state) = 1.5657
n_iter = 5 J = 37.661 max(relative change in state) = 1.4142
n_iter = 6 J = 37.631 max(relative change in state) = 0.17715E-01
n_iter = 7 J = 37.593 max(relative change in state) = 0.35054
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 267 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 268 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 268 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 19.442 max(relative change in state) = -
n_iter = 2 J = 16.815 max(relative change in state) = 0.83683
n_iter = 3 J = 16.348 max(relative change in state) = 0.42324
n_iter = 4 J = 17.318 max(relative change in state) = 0.79463
n_iter = 5 J = 16.288 max(relative change in state) = 0.60868
n_iter = 6 J = 16.286 max(relative change in state) = 0.98304E-02
n_iter = 7 J = 16.281 max(relative change in state) = 0.55298E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 268 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 269 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 269 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 20.991 max(relative change in state) = -
n_iter = 2 J = 17.726 max(relative change in state) = 0.50183
n_iter = 3 J = 15.931 max(relative change in state) = 0.71138
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 269 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 270 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 270 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.871 max(relative change in state) = -
n_iter = 2 J = 22.663 max(relative change in state) = 0.77406
n_iter = 3 J = 22.229 max(relative change in state) = 0.51595
n_iter = 4 J = 24.000 max(relative change in state) = 0.89357
n_iter = 5 J = 22.212 max(relative change in state) = 0.80429
n_iter = 6 J = 22.211 max(relative change in state) = 0.43468E-02
n_iter = 7 J = 22.202 max(relative change in state) = 0.39742E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 270 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 271 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 271 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 62.751 max(relative change in state) = -
n_iter = 2 J = 53.246 max(relative change in state) = 0.80160
n_iter = 3 J = 44.734 max(relative change in state) = 1.4658
n_iter = 4 J = 44.754 max(relative change in state) = 0.45156
n_iter = 5 J = 44.230 max(relative change in state) = 0.28779
n_iter = 6 J = 43.791 max(relative change in state) = 0.30239
n_iter = 7 J = 43.514 max(relative change in state) = 0.26284
n_iter = 8 J = 43.228 max(relative change in state) = 0.24592
n_iter = 9 J = 43.120 max(relative change in state) = 0.15518
n_iter = 10 J = 43.116 max(relative change in state) = 0.29831
n_iter = 11 J = 42.953 max(relative change in state) = 0.65851E-01
n_iter = 12 J = 42.930 max(relative change in state) = 0.18459E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 271 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 272 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 272 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.661 max(relative change in state) = -
n_iter = 2 J = 40.786 max(relative change in state) = 0.79336
n_iter = 3 J = 35.265 max(relative change in state) = 1.4129
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 272 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 273 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 273 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 12.142 max(relative change in state) = -
n_iter = 2 J = 11.190 max(relative change in state) = 0.61018
n_iter = 3 J = 11.035 max(relative change in state) = 0.30649
n_iter = 4 J = 11.315 max(relative change in state) = 0.39775
n_iter = 5 J = 11.025 max(relative change in state) = 0.32445
n_iter = 6 J = 11.025 max(relative change in state) = 0.32656E-02
n_iter = 7 J = 11.023 max(relative change in state) = 0.19365E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 273 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 274 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 274 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 52.386 max(relative change in state) = -
n_iter = 2 J = 44.757 max(relative change in state) = 0.93015
n_iter = 3 J = 42.122 max(relative change in state) = 0.84874
n_iter = 4 J = 42.935 max(relative change in state) = 0.78796
n_iter = 5 J = 42.098 max(relative change in state) = 0.69731
n_iter = 6 J = 42.090 max(relative change in state) = 0.87233E-02
n_iter = 7 J = 42.070 max(relative change in state) = 0.12142
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 274 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 275 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 275 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 112.41 max(relative change in state) = -
n_iter = 2 J = 99.140 max(relative change in state) = 2.7239
n_iter = 3 J = 98.039 max(relative change in state) = 1.2224
n_iter = 4 J = 101.21 max(relative change in state) = 1.5621
n_iter = 5 J = 97.949 max(relative change in state) = 1.3310
n_iter = 6 J = 97.933 max(relative change in state) = 0.12976E-01
n_iter = 7 J = 97.988 max(relative change in state) = 0.28239
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 275 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 276 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 276 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 105.57 max(relative change in state) = -
n_iter = 2 J = 91.858 max(relative change in state) = 0.75414
n_iter = 3 J = 82.518 max(relative change in state) = 1.0453
n_iter = 4 J = 81.328 max(relative change in state) = 0.65814
n_iter = 5 J = 80.711 max(relative change in state) = 0.43920
n_iter = 6 J = 80.477 max(relative change in state) = 0.74862E-01
n_iter = 7 J = 80.413 max(relative change in state) = 0.53740E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 276 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 277 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 277 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 210.12 max(relative change in state) = -
n_iter = 2 J = 317.90 max(relative change in state) = 12.311
n_iter = 3 J = 182.31 max(relative change in state) = 8.3614
n_iter = 4 J = 183.84 max(relative change in state) = 1.1400
n_iter = 5 J = 181.84 max(relative change in state) = 0.84768
n_iter = 6 J = 181.63 max(relative change in state) = 0.97859E-01
n_iter = 7 J = 181.35 max(relative change in state) = 0.38345
n_iter = 8 J = 180.90 max(relative change in state) = 0.17276
n_iter = 9 J = 180.72 max(relative change in state) = 0.29985
n_iter = 10 J = 180.32 max(relative change in state) = 0.13695
n_iter = 11 J = 180.26 max(relative change in state) = 0.84118E-01
n_iter = 12 J = 180.13 max(relative change in state) = 0.22238
n_iter = 13 J = 180.00 max(relative change in state) = 0.12938
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 277 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 278 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 278 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 50.447 max(relative change in state) = -
n_iter = 2 J = 44.249 max(relative change in state) = 0.32486
n_iter = 3 J = 31.144 max(relative change in state) = 1.0342
n_iter = 4 J = 27.832 max(relative change in state) = 0.48934
n_iter = 5 J = 26.533 max(relative change in state) = 0.36850
n_iter = 6 J = 24.556 max(relative change in state) = 0.47047
n_iter = 7 J = 23.966 max(relative change in state) = 0.25579
n_iter = 8 J = 23.596 max(relative change in state) = 0.17980
n_iter = 9 J = 23.107 max(relative change in state) = 0.10262
n_iter = 10 J = 22.449 max(relative change in state) = 0.30696
n_iter = 11 J = 22.383 max(relative change in state) = 0.10604
n_iter = 12 J = 22.160 max(relative change in state) = 0.60239E-01
n_iter = 13 J = 22.051 max(relative change in state) = 0.11843
n_iter = 14 J = 21.872 max(relative change in state) = 0.46558E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 278 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 279 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 279 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 57.190 max(relative change in state) = -
n_iter = 2 J = 47.092 max(relative change in state) = 0.72673
n_iter = 3 J = 33.184 max(relative change in state) = 2.2039
n_iter = 4 J = 32.992 max(relative change in state) = 0.26087
n_iter = 5 J = 33.070 max(relative change in state) = 0.30676
n_iter = 6 J = 32.917 max(relative change in state) = 0.15378
n_iter = 7 J = 32.915 max(relative change in state) = 0.30980E-02
n_iter = 8 J = 32.900 max(relative change in state) = 0.40154E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 279 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 280 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 280 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 68.706 max(relative change in state) = -
n_iter = 2 J = 57.682 max(relative change in state) = 0.38054
n_iter = 3 J = 44.179 max(relative change in state) = 1.0537
n_iter = 4 J = 35.765 max(relative change in state) = 1.3744
n_iter = 5 J = 33.506 max(relative change in state) = 0.59032
n_iter = 6 J = 33.356 max(relative change in state) = 0.40508
n_iter = 7 J = 32.961 max(relative change in state) = 0.19849
n_iter = 8 J = 32.819 max(relative change in state) = 0.59551E-01
n_iter = 9 J = 32.749 max(relative change in state) = 0.42201E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 280 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 281 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 281 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.171 max(relative change in state) = -
n_iter = 2 J = 38.458 max(relative change in state) = 1.1345
n_iter = 3 J = 37.975 max(relative change in state) = 0.36521
n_iter = 4 J = 38.120 max(relative change in state) = 0.44632
n_iter = 5 J = 37.783 max(relative change in state) = 0.19098
n_iter = 6 J = 37.780 max(relative change in state) = 0.63658E-02
n_iter = 7 J = 37.763 max(relative change in state) = 0.75327E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 281 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 282 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 282 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 52.118 max(relative change in state) = -
n_iter = 2 J = 42.767 max(relative change in state) = 0.33733
n_iter = 3 J = 26.800 max(relative change in state) = 0.83604
n_iter = 4 J = 22.463 max(relative change in state) = 0.54658
n_iter = 5 J = 21.527 max(relative change in state) = 0.20865
n_iter = 6 J = 20.436 max(relative change in state) = 0.37236
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 282 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 283 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 283 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 53.359 max(relative change in state) = -
n_iter = 2 J = 48.057 max(relative change in state) = 0.12926
n_iter = 3 J = 43.784 max(relative change in state) = 0.38474
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 283 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 284 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 284 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 282.64 max(relative change in state) = -
n_iter = 2 J = 452.55 max(relative change in state) = 14.589
n_iter = 3 J = 226.45 max(relative change in state) = 10.166
n_iter = 4 J = 237.80 max(relative change in state) = 2.7936
n_iter = 5 J = 226.30 max(relative change in state) = 2.5043
n_iter = 6 J = 226.27 max(relative change in state) = 0.14650E-01
n_iter = 7 J = 226.32 max(relative change in state) = 0.36592
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 284 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 285 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 285 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 413.20 max(relative change in state) = -
n_iter = 2 J = 1342.2 max(relative change in state) = 28.294
n_iter = 3 J = 358.33 max(relative change in state) = 22.089
n_iter = 4 J = 393.20 max(relative change in state) = 3.6026
n_iter = 5 J = 358.11 max(relative change in state) = 3.3593
n_iter = 6 J = 358.04 max(relative change in state) = 0.33470E-01
n_iter = 7 J = 358.28 max(relative change in state) = 0.43973
n_iter = 8 J = 357.85 max(relative change in state) = 0.14413
n_iter = 9 J = 357.78 max(relative change in state) = 0.59013E-01
n_iter = 10 J = 357.40 max(relative change in state) = 0.33166
n_iter = 11 J = 357.26 max(relative change in state) = 0.46552
n_iter = 12 J = 357.18 max(relative change in state) = 0.13990
n_iter = 13 J = 357.14 max(relative change in state) = 0.22299E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 285 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 286 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 286 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.285 max(relative change in state) = -
n_iter = 2 J = 27.088 max(relative change in state) = 0.32091
n_iter = 3 J = 20.671 max(relative change in state) = 0.65935
n_iter = 4 J = 18.467 max(relative change in state) = 0.71908
n_iter = 5 J = 21.941 max(relative change in state) = 0.98516
n_iter = 6 J = 17.868 max(relative change in state) = 0.77051
n_iter = 7 J = 17.469 max(relative change in state) = 0.95830E-01
n_iter = 8 J = 17.382 max(relative change in state) = 0.10336
n_iter = 9 J = 16.897 max(relative change in state) = 0.10300
n_iter = 10 J = 16.797 max(relative change in state) = 0.15080
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 286 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 287 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 287 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 12.412 max(relative change in state) = -
n_iter = 2 J = 10.521 max(relative change in state) = 0.38793
n_iter = 3 J = 9.5595 max(relative change in state) = 0.70667
n_iter = 4 J = 11.080 max(relative change in state) = 0.88287
n_iter = 5 J = 9.5529 max(relative change in state) = 0.82532
n_iter = 6 J = 9.5517 max(relative change in state) = 0.19869E-02
n_iter = 7 J = 9.5400 max(relative change in state) = 0.55849E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 287 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 288 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 288 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 40.335 max(relative change in state) = -
n_iter = 2 J = 33.725 max(relative change in state) = 0.60640
n_iter = 3 J = 26.903 max(relative change in state) = 0.93922
n_iter = 4 J = 27.018 max(relative change in state) = 0.78461
n_iter = 5 J = 25.338 max(relative change in state) = 0.54968
n_iter = 6 J = 24.953 max(relative change in state) = 0.20299
n_iter = 7 J = 24.880 max(relative change in state) = 0.11451
n_iter = 8 J = 24.623 max(relative change in state) = 0.48088E-01
n_iter = 9 J = 24.461 max(relative change in state) = 0.98021E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 288 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 289 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 289 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 263.57 max(relative change in state) = -
n_iter = 2 J = 806.42 max(relative change in state) = 17.286
n_iter = 3 J = 237.09 max(relative change in state) = 14.651
n_iter = 4 J = 241.57 max(relative change in state) = 1.5283
n_iter = 5 J = 236.99 max(relative change in state) = 1.3461
n_iter = 6 J = 236.96 max(relative change in state) = 0.18578E-01
n_iter = 7 J = 236.87 max(relative change in state) = 0.23606
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 289 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 290 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 290 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 290 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 291 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 291 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 37.552 max(relative change in state) = -
n_iter = 2 J = 31.589 max(relative change in state) = 0.89747
n_iter = 3 J = 27.966 max(relative change in state) = 1.2076
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 291 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 292 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 292 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 59.007 max(relative change in state) = -
n_iter = 2 J = 52.326 max(relative change in state) = 1.2683
n_iter = 3 J = 51.397 max(relative change in state) = 0.41660
n_iter = 4 J = 56.047 max(relative change in state) = 1.4765
n_iter = 5 J = 51.325 max(relative change in state) = 1.3050
n_iter = 6 J = 51.314 max(relative change in state) = 0.11694E-01
n_iter = 7 J = 51.265 max(relative change in state) = 0.17692
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 292 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 293 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 293 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 65.641 max(relative change in state) = -
n_iter = 2 J = 55.335 max(relative change in state) = 0.82531
n_iter = 3 J = 48.195 max(relative change in state) = 1.1768
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 293 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 294 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 294 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.685 max(relative change in state) = -
n_iter = 2 J = 58.508 max(relative change in state) = 0.87370
n_iter = 3 J = 51.109 max(relative change in state) = 1.5066
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 294 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 295 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 295 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 212.93 max(relative change in state) = -
n_iter = 2 J = 333.26 max(relative change in state) = 11.641
n_iter = 3 J = 185.24 max(relative change in state) = 8.4860
n_iter = 4 J = 184.54 max(relative change in state) = 0.56838
n_iter = 5 J = 183.72 max(relative change in state) = 0.25519
n_iter = 6 J = 183.59 max(relative change in state) = 0.21021
n_iter = 7 J = 183.55 max(relative change in state) = 0.98293E-01
n_iter = 8 J = 183.51 max(relative change in state) = 0.24931E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 295 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 296 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 296 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.260 max(relative change in state) = -
n_iter = 2 J = 34.660 max(relative change in state) = 0.95409
n_iter = 3 J = 33.630 max(relative change in state) = 0.71158
n_iter = 4 J = 33.734 max(relative change in state) = 0.22329
n_iter = 5 J = 33.475 max(relative change in state) = 0.16136
n_iter = 6 J = 33.438 max(relative change in state) = 0.52526E-01
n_iter = 7 J = 33.472 max(relative change in state) = 0.79448E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 296 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 297 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 297 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 151.80 max(relative change in state) = -
n_iter = 2 J = 166.63 max(relative change in state) = 5.7872
n_iter = 3 J = 139.24 max(relative change in state) = 3.0927
n_iter = 4 J = 140.49 max(relative change in state) = 1.0120
n_iter = 5 J = 139.19 max(relative change in state) = 0.85823
n_iter = 6 J = 139.17 max(relative change in state) = 0.12061E-01
n_iter = 7 J = 139.06 max(relative change in state) = 0.20599
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 297 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 298 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 298 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 207.41 max(relative change in state) = -
n_iter = 2 J = 126.42 max(relative change in state) = 4.4368
n_iter = 3 J = 120.99 max(relative change in state) = 1.2081
n_iter = 4 J = 134.45 max(relative change in state) = 2.6416
n_iter = 5 J = 120.52 max(relative change in state) = 2.2741
n_iter = 6 J = 120.37 max(relative change in state) = 0.29826E-01
n_iter = 7 J = 120.41 max(relative change in state) = 0.59703
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 298 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 299 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 299 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 99.785 max(relative change in state) = -
n_iter = 2 J = 88.877 max(relative change in state) = 1.2514
n_iter = 3 J = 85.987 max(relative change in state) = 1.0637
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 299 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 300 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 300 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 273.29 max(relative change in state) = -
n_iter = 2 J = 1072.1 max(relative change in state) = 20.801
n_iter = 3 J = 250.48 max(relative change in state) = 17.049
n_iter = 4 J = 261.98 max(relative change in state) = 2.6128
n_iter = 5 J = 250.41 max(relative change in state) = 2.4046
n_iter = 6 J = 250.40 max(relative change in state) = 0.75793E-02
n_iter = 7 J = 250.33 max(relative change in state) = 0.14743
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 300 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 301 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 301 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 92.258 max(relative change in state) = -
n_iter = 2 J = 85.176 max(relative change in state) = 0.25878
n_iter = 3 J = 75.335 max(relative change in state) = 0.39849
n_iter = 4 J = 63.025 max(relative change in state) = 1.1768
n_iter = 5 J = 62.271 max(relative change in state) = 0.36700
n_iter = 6 J = 61.386 max(relative change in state) = 0.12829
n_iter = 7 J = 59.542 max(relative change in state) = 0.31064
n_iter = 8 J = 58.424 max(relative change in state) = 0.19280
n_iter = 9 J = 57.934 max(relative change in state) = 0.10397
n_iter = 10 J = 57.680 max(relative change in state) = 0.97628E-01
n_iter = 11 J = 57.307 max(relative change in state) = 0.19440
n_iter = 12 J = 57.335 max(relative change in state) = 0.23067
n_iter = 13 J = 57.029 max(relative change in state) = 0.11556
n_iter = 14 J = 56.962 max(relative change in state) = 0.31289E-01
n_iter = 15 J = 56.832 max(relative change in state) = 0.91874E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 301 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 302 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 302 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 66.610 max(relative change in state) = -
n_iter = 2 J = 61.413 max(relative change in state) = 0.48009
n_iter = 3 J = 57.143 max(relative change in state) = 1.0765
n_iter = 4 J = 56.072 max(relative change in state) = 0.31504
n_iter = 5 J = 57.384 max(relative change in state) = 0.93925
n_iter = 6 J = 55.382 max(relative change in state) = 0.73985
n_iter = 7 J = 54.395 max(relative change in state) = 0.22164
n_iter = 8 J = 54.082 max(relative change in state) = 0.57215E-01
n_iter = 9 J = 53.682 max(relative change in state) = 0.13904
n_iter = 10 J = 53.565 max(relative change in state) = 0.92246E-01
n_iter = 11 J = 53.422 max(relative change in state) = 0.89735E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 302 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 303 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 303 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 1805.1 max(relative change in state) = -
n_iter = 2 J = 44068. max(relative change in state) = 138.09
n_iter = 3 J = 1737.3 max(relative change in state) = 133.97
n_iter = 4 J = 1740.5 max(relative change in state) = 1.3741
n_iter = 5 J = 1735.1 max(relative change in state) = 0.78642
n_iter = 6 J = 1734.7 max(relative change in state) = 0.13945
n_iter = 7 J = 1734.4 max(relative change in state) = 0.25159
n_iter = 8 J = 1734.1 max(relative change in state) = 0.18760
n_iter = 9 J = 1733.6 max(relative change in state) = 1.5866
n_iter = 10 J = 1733.1 max(relative change in state) = 0.17536
n_iter = 11 J = 1733.1 max(relative change in state) = 0.23083E-01
n_iter = 12 J = 1733.0 max(relative change in state) = 0.91043E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 303 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 304 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 304 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 76.514 max(relative change in state) = -
n_iter = 2 J = 72.534 max(relative change in state) = 0.16207
n_iter = 3 J = 59.308 max(relative change in state) = 0.76395
n_iter = 4 J = 48.768 max(relative change in state) = 1.7739
n_iter = 5 J = 47.576 max(relative change in state) = 0.26800
n_iter = 6 J = 46.706 max(relative change in state) = 0.14776
n_iter = 7 J = 46.190 max(relative change in state) = 0.12654
n_iter = 8 J = 45.846 max(relative change in state) = 0.14479
n_iter = 9 J = 45.527 max(relative change in state) = 0.87907E-01
n_iter = 10 J = 45.379 max(relative change in state) = 0.32107E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 304 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 305 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 305 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.480 max(relative change in state) = -
n_iter = 2 J = 35.245 max(relative change in state) = 0.80431
n_iter = 3 J = 32.589 max(relative change in state) = 1.3162
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 305 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 306 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 306 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.562 max(relative change in state) = -
n_iter = 2 J = 29.566 max(relative change in state) = 0.66041
n_iter = 3 J = 23.859 max(relative change in state) = 1.2503
n_iter = 4 J = 24.321 max(relative change in state) = 0.58848
n_iter = 5 J = 23.810 max(relative change in state) = 0.48360
n_iter = 6 J = 23.787 max(relative change in state) = 0.21469E-01
n_iter = 7 J = 23.744 max(relative change in state) = 0.15070
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 306 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 307 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 307 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 81.177 max(relative change in state) = -
n_iter = 2 J = 66.783 max(relative change in state) = 0.84798
n_iter = 3 J = 47.058 max(relative change in state) = 2.3656
n_iter = 4 J = 47.067 max(relative change in state) = 0.40178
n_iter = 5 J = 46.781 max(relative change in state) = 0.21371
n_iter = 6 J = 46.748 max(relative change in state) = 0.11623
n_iter = 7 J = 46.740 max(relative change in state) = 0.42831E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 307 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 308 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 308 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 63.028 max(relative change in state) = -
n_iter = 2 J = 61.386 max(relative change in state) = 0.76284E-01
n_iter = 3 J = 59.325 max(relative change in state) = 0.16645
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 308 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 309 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 309 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 18.302 max(relative change in state) = -
n_iter = 2 J = 15.348 max(relative change in state) = 0.42337
n_iter = 3 J = 13.410 max(relative change in state) = 0.69745
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 309 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 310 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 310 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 169.48 max(relative change in state) = -
n_iter = 2 J = 160.59 max(relative change in state) = 4.2186
n_iter = 3 J = 150.98 max(relative change in state) = 2.1585
n_iter = 4 J = 150.49 max(relative change in state) = 0.41855
n_iter = 5 J = 149.83 max(relative change in state) = 0.26052
n_iter = 6 J = 149.70 max(relative change in state) = 0.11616
n_iter = 7 J = 149.39 max(relative change in state) = 0.20675
n_iter = 8 J = 149.27 max(relative change in state) = 0.97150E-01
n_iter = 9 J = 149.22 max(relative change in state) = 0.76237E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 310 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 311 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 311 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 90.389 max(relative change in state) = -
n_iter = 2 J = 75.153 max(relative change in state) = 0.90562
n_iter = 3 J = 60.403 max(relative change in state) = 2.1139
n_iter = 4 J = 66.598 max(relative change in state) = 1.9168
n_iter = 5 J = 60.355 max(relative change in state) = 1.7548
n_iter = 6 J = 60.348 max(relative change in state) = 0.55112E-02
n_iter = 7 J = 60.294 max(relative change in state) = 0.13616
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 311 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 312 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 312 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 26.785 max(relative change in state) = -
n_iter = 2 J = 22.689 max(relative change in state) = 0.61244
n_iter = 3 J = 20.767 max(relative change in state) = 1.1001
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 312 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 313 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 313 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 10.692 max(relative change in state) = -
n_iter = 2 J = 9.3115 max(relative change in state) = 0.55597
n_iter = 3 J = 9.0517 max(relative change in state) = 0.30003
n_iter = 4 J = 10.349 max(relative change in state) = 0.84728
n_iter = 5 J = 9.0851 max(relative change in state) = 0.68593
n_iter = 6 J = 9.0569 max(relative change in state) = 0.93221E-01
n_iter = 7 J = 9.0544 max(relative change in state) = 0.98521E-02
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 313 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 314 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 314 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 67.557 max(relative change in state) = -
n_iter = 2 J = 58.342 max(relative change in state) = 0.74407
n_iter = 3 J = 48.911 max(relative change in state) = 1.7844
n_iter = 4 J = 54.211 max(relative change in state) = 1.6680
n_iter = 5 J = 48.556 max(relative change in state) = 1.4836
n_iter = 6 J = 48.304 max(relative change in state) = 0.69541E-01
n_iter = 7 J = 48.039 max(relative change in state) = 0.49215
n_iter = 8 J = 47.342 max(relative change in state) = 0.36011
n_iter = 9 J = 46.770 max(relative change in state) = 0.31928
n_iter = 10 J = 46.492 max(relative change in state) = 0.50379
n_iter = 11 J = 46.125 max(relative change in state) = 0.33800
n_iter = 12 J = 45.881 max(relative change in state) = 0.13532
n_iter = 13 J = 45.663 max(relative change in state) = 0.69692
n_iter = 14 J = 45.384 max(relative change in state) = 0.25156
n_iter = 15 J = 45.331 max(relative change in state) = 0.10561
n_iter = 16 J = 45.348 max(relative change in state) = 0.12360
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 314 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 315 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 315 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 32.347 max(relative change in state) = -
n_iter = 2 J = 27.491 max(relative change in state) = 0.78275
n_iter = 3 J = 25.218 max(relative change in state) = 0.94535
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 315 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 316 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 316 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 32.463 max(relative change in state) = -
n_iter = 2 J = 27.174 max(relative change in state) = 0.50579
n_iter = 3 J = 23.164 max(relative change in state) = 0.88475
n_iter = 4 J = 23.203 max(relative change in state) = 0.31066
n_iter = 5 J = 23.128 max(relative change in state) = 0.22919
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 316 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 317 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 317 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 45.334 max(relative change in state) = -
n_iter = 2 J = 38.038 max(relative change in state) = 0.85300
n_iter = 3 J = 32.865 max(relative change in state) = 1.4027
n_iter = 4 J = 38.447 max(relative change in state) = 1.7237
n_iter = 5 J = 32.839 max(relative change in state) = 1.6022
n_iter = 6 J = 32.837 max(relative change in state) = 0.46034E-02
n_iter = 7 J = 32.816 max(relative change in state) = 0.66866E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 317 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 318 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 318 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 50.615 max(relative change in state) = -
n_iter = 2 J = 44.695 max(relative change in state) = 0.89562
n_iter = 3 J = 44.655 max(relative change in state) = 0.47839
n_iter = 4 J = 44.378 max(relative change in state) = 0.43097
n_iter = 5 J = 44.339 max(relative change in state) = 0.17593E-01
n_iter = 6 J = 44.334 max(relative change in state) = 0.15026E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 318 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 319 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 319 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 19.856 max(relative change in state) = -
n_iter = 2 J = 16.751 max(relative change in state) = 0.48410
n_iter = 3 J = 14.938 max(relative change in state) = 0.69462
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 319 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 320 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 320 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 28.337 max(relative change in state) = -
n_iter = 2 J = 24.430 max(relative change in state) = 0.64513
n_iter = 3 J = 23.311 max(relative change in state) = 0.44699
n_iter = 4 J = 26.805 max(relative change in state) = 1.2484
n_iter = 5 J = 23.294 max(relative change in state) = 1.1663
n_iter = 6 J = 23.291 max(relative change in state) = 0.42082E-02
n_iter = 7 J = 23.261 max(relative change in state) = 0.12098
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 320 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 321 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 321 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 82.006 max(relative change in state) = -
n_iter = 2 J = 69.958 max(relative change in state) = 1.1604
n_iter = 3 J = 65.293 max(relative change in state) = 1.1087
n_iter = 4 J = 68.350 max(relative change in state) = 1.4770
n_iter = 5 J = 65.031 max(relative change in state) = 1.1834
n_iter = 6 J = 64.965 max(relative change in state) = 0.45072E-01
n_iter = 7 J = 64.651 max(relative change in state) = 0.55724
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 321 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 322 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 322 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 121.71 max(relative change in state) = -
n_iter = 2 J = 106.72 max(relative change in state) = 0.75789
n_iter = 3 J = 92.340 max(relative change in state) = 1.2227
n_iter = 4 J = 88.459 max(relative change in state) = 0.70625
n_iter = 5 J = 87.067 max(relative change in state) = 0.56918
n_iter = 6 J = 87.064 max(relative change in state) = 0.36717
n_iter = 7 J = 86.523 max(relative change in state) = 0.15655
n_iter = 8 J = 86.452 max(relative change in state) = 0.27851E-01
n_iter = 9 J = 86.324 max(relative change in state) = 0.32826
n_iter = 10 J = 86.230 max(relative change in state) = 0.85365E-01
n_iter = 11 J = 86.044 max(relative change in state) = 0.58745E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 322 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 323 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 323 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.121 max(relative change in state) = -
n_iter = 2 J = 22.670 max(relative change in state) = 0.70394
n_iter = 3 J = 19.449 max(relative change in state) = 1.1600
n_iter = 4 J = 19.715 max(relative change in state) = 0.49200
n_iter = 5 J = 19.405 max(relative change in state) = 0.36282
n_iter = 6 J = 19.393 max(relative change in state) = 0.22534E-01
n_iter = 7 J = 19.344 max(relative change in state) = 0.13063
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 323 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 324 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 324 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.676 max(relative change in state) = -
n_iter = 2 J = 14.708 max(relative change in state) = 0.12625
n_iter = 3 J = 10.701 max(relative change in state) = 0.32585
n_iter = 4 J = 9.7390 max(relative change in state) = 0.15469
n_iter = 5 J = 8.5325 max(relative change in state) = 0.31731
n_iter = 6 J = 8.2714 max(relative change in state) = 0.28077
n_iter = 7 J = 7.9158 max(relative change in state) = 0.92098E-01
n_iter = 8 J = 7.8776 max(relative change in state) = 0.25656E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 324 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 325 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 325 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 325 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 326 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 326 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 270.35 max(relative change in state) = -
n_iter = 2 J = 504.41 max(relative change in state) = 14.366
n_iter = 3 J = 226.84 max(relative change in state) = 10.523
n_iter = 4 J = 230.72 max(relative change in state) = 1.2197
n_iter = 5 J = 226.75 max(relative change in state) = 1.0764
n_iter = 6 J = 226.72 max(relative change in state) = 0.12595E-01
n_iter = 7 J = 226.60 max(relative change in state) = 0.25564
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 326 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 327 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 327 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.277 max(relative change in state) = -
n_iter = 2 J = 57.623 max(relative change in state) = 1.1237
n_iter = 3 J = 47.388 max(relative change in state) = 2.3823
n_iter = 4 J = 51.581 max(relative change in state) = 1.7035
n_iter = 5 J = 47.331 max(relative change in state) = 1.5201
n_iter = 6 J = 47.321 max(relative change in state) = 0.59278E-02
n_iter = 7 J = 47.325 max(relative change in state) = 0.20714
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 327 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 328 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 328 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 19.078 max(relative change in state) = -
n_iter = 2 J = 16.314 max(relative change in state) = 0.44372
n_iter = 3 J = 15.350 max(relative change in state) = 0.47829
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 328 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 329 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 329 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 1128.6 max(relative change in state) = -
n_iter = 2 J = 2634.0 max(relative change in state) = 31.355
n_iter = 3 J = 836.20 max(relative change in state) = 23.194
n_iter = 4 J = 1041.5 max(relative change in state) = 10.919
n_iter = 5 J = 835.17 max(relative change in state) = 9.8610
n_iter = 6 J = 835.05 max(relative change in state) = 0.14815
n_iter = 7 J = 834.85 max(relative change in state) = 0.22156
n_iter = 8 J = 834.42 max(relative change in state) = 0.20960
n_iter = 9 J = 834.62 max(relative change in state) = 0.94384
n_iter = 10 J = 833.89 max(relative change in state) = 0.60685
n_iter = 11 J = 833.87 max(relative change in state) = 0.58397E-01
n_iter = 12 J = 833.86 max(relative change in state) = 0.16361E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 329 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 330 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 330 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 330 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 331 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 331 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 15.285 max(relative change in state) = -
n_iter = 2 J = 12.865 max(relative change in state) = 0.36134
n_iter = 3 J = 11.330 max(relative change in state) = 0.65331
n_iter = 4 J = 11.358 max(relative change in state) = 0.10953
n_iter = 5 J = 11.298 max(relative change in state) = 0.75764E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 331 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 332 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 332 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 332 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 333 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 333 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 67.743 max(relative change in state) = -
n_iter = 2 J = 57.678 max(relative change in state) = 0.37751
n_iter = 3 J = 35.205 max(relative change in state) = 1.6507
n_iter = 4 J = 33.046 max(relative change in state) = 0.42234
n_iter = 5 J = 32.597 max(relative change in state) = 0.32298
n_iter = 6 J = 32.110 max(relative change in state) = 0.15115
n_iter = 7 J = 32.006 max(relative change in state) = 0.11655
n_iter = 8 J = 31.924 max(relative change in state) = 0.75870E-01
n_iter = 9 J = 31.909 max(relative change in state) = 0.30831
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 333 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 334 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 334 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 236.00 max(relative change in state) = -
n_iter = 2 J = 637.35 max(relative change in state) = 15.510
n_iter = 3 J = 213.60 max(relative change in state) = 11.964
n_iter = 4 J = 219.71 max(relative change in state) = 1.8573
n_iter = 5 J = 213.52 max(relative change in state) = 1.6781
n_iter = 6 J = 213.49 max(relative change in state) = 0.12544E-01
n_iter = 7 J = 213.56 max(relative change in state) = 0.30211
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 334 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 335 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 335 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.827 max(relative change in state) = -
n_iter = 2 J = 39.062 max(relative change in state) = 0.25579
n_iter = 3 J = 30.630 max(relative change in state) = 1.5312
n_iter = 4 J = 30.836 max(relative change in state) = 0.38530
n_iter = 5 J = 29.953 max(relative change in state) = 0.42417
n_iter = 6 J = 28.829 max(relative change in state) = 0.19045
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 335 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 336 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 336 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 120.20 max(relative change in state) = -
n_iter = 2 J = 104.65 max(relative change in state) = 1.6903
n_iter = 3 J = 99.770 max(relative change in state) = 0.71083
n_iter = 4 J = 96.901 max(relative change in state) = 1.0123
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 336 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 337 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 337 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 163.57 max(relative change in state) = -
n_iter = 2 J = 140.35 max(relative change in state) = 3.8958
n_iter = 3 J = 132.47 max(relative change in state) = 1.4027
n_iter = 4 J = 134.28 max(relative change in state) = 0.94421
n_iter = 5 J = 132.34 max(relative change in state) = 0.77688
n_iter = 6 J = 132.30 max(relative change in state) = 0.21541E-01
n_iter = 7 J = 132.06 max(relative change in state) = 0.30267
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 337 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 338 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 338 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 65.709 max(relative change in state) = -
n_iter = 2 J = 59.031 max(relative change in state) = 1.5185
n_iter = 3 J = 58.011 max(relative change in state) = 0.65577
n_iter = 4 J = 58.099 max(relative change in state) = 0.36240
n_iter = 5 J = 57.989 max(relative change in state) = 0.28591
n_iter = 6 J = 57.985 max(relative change in state) = 0.22003E-01
n_iter = 7 J = 57.981 max(relative change in state) = 0.44571E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 338 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 339 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 339 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 111.64 max(relative change in state) = -
n_iter = 2 J = 97.528 max(relative change in state) = 1.6431
n_iter = 3 J = 94.974 max(relative change in state) = 0.95979
n_iter = 4 J = 106.93 max(relative change in state) = 2.2320
n_iter = 5 J = 94.906 max(relative change in state) = 2.0700
n_iter = 6 J = 94.893 max(relative change in state) = 0.10864E-01
n_iter = 7 J = 94.799 max(relative change in state) = 0.23282
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 339 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 340 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 340 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 90.497 max(relative change in state) = -
n_iter = 2 J = 76.657 max(relative change in state) = 1.1314
n_iter = 3 J = 64.006 max(relative change in state) = 1.9901
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 340 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 341 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 341 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 21.758 max(relative change in state) = -
n_iter = 2 J = 18.422 max(relative change in state) = 0.51658
n_iter = 3 J = 16.584 max(relative change in state) = 0.67053
n_iter = 4 J = 18.399 max(relative change in state) = 0.89386
n_iter = 5 J = 16.572 max(relative change in state) = 0.82783
n_iter = 6 J = 16.569 max(relative change in state) = 0.30419E-02
n_iter = 7 J = 16.563 max(relative change in state) = 0.98212E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 341 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 342 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 342 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 2 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.708 max(relative change in state) = -
n_iter = 2 J = 41.879 max(relative change in state) = 0.69444
n_iter = 3 J = 37.585 max(relative change in state) = 1.3456
n_iter = 4 J = 42.551 max(relative change in state) = 1.4463
n_iter = 5 J = 37.486 max(relative change in state) = 1.3571
n_iter = 6 J = 37.416 max(relative change in state) = 0.34689E-01
n_iter = 7 J = 37.843 max(relative change in state) = 0.23676
n_iter = 8 J = 37.313 max(relative change in state) = 0.21100
n_iter = 9 J = 37.266 max(relative change in state) = 0.25638E-01
n_iter = 10 J = 37.088 max(relative change in state) = 0.17569
n_iter = 11 J = 37.044 max(relative change in state) = 0.16570
n_iter = 12 J = 37.003 max(relative change in state) = 0.26571E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 342 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 343 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 343 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.309 max(relative change in state) = -
n_iter = 2 J = 22.688 max(relative change in state) = 0.23682
n_iter = 3 J = 18.147 max(relative change in state) = 0.60529
n_iter = 4 J = 18.180 max(relative change in state) = 0.47859
n_iter = 5 J = 17.103 max(relative change in state) = 0.31157
n_iter = 6 J = 16.983 max(relative change in state) = 0.28041
n_iter = 7 J = 16.577 max(relative change in state) = 0.10217
n_iter = 8 J = 16.508 max(relative change in state) = 0.14541
n_iter = 9 J = 16.403 max(relative change in state) = 0.13293
n_iter = 10 J = 16.185 max(relative change in state) = 0.14224
n_iter = 11 J = 16.310 max(relative change in state) = 0.20435
n_iter = 12 J = 15.951 max(relative change in state) = 0.12644
n_iter = 13 J = 15.977 max(relative change in state) = 0.10246
n_iter = 14 J = 15.939 max(relative change in state) = 0.91748E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 343 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 344 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 344 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.526 max(relative change in state) = -
n_iter = 2 J = 41.340 max(relative change in state) = 0.65252
n_iter = 3 J = 35.807 max(relative change in state) = 1.5074
n_iter = 4 J = 39.195 max(relative change in state) = 1.2947
n_iter = 5 J = 35.741 max(relative change in state) = 1.1691
n_iter = 6 J = 35.712 max(relative change in state) = 0.17606E-01
n_iter = 7 J = 35.783 max(relative change in state) = 0.40938
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 344 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 345 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 345 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.941 max(relative change in state) = -
n_iter = 2 J = 35.277 max(relative change in state) = 0.60697
n_iter = 3 J = 21.695 max(relative change in state) = 2.2020
n_iter = 4 J = 28.053 max(relative change in state) = 1.9727
n_iter = 5 J = 21.554 max(relative change in state) = 1.6984
n_iter = 6 J = 21.530 max(relative change in state) = 0.14079E-01
n_iter = 7 J = 21.345 max(relative change in state) = 0.35474
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 345 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 346 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 346 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.573 max(relative change in state) = -
n_iter = 2 J = 79.281 max(relative change in state) = 1.0937
n_iter = 3 J = 70.992 max(relative change in state) = 1.7151
n_iter = 4 J = 72.209 max(relative change in state) = 0.84449
n_iter = 5 J = 70.237 max(relative change in state) = 0.62611
n_iter = 6 J = 70.158 max(relative change in state) = 0.93380E-01
n_iter = 7 J = 69.954 max(relative change in state) = 0.22259
n_iter = 8 J = 69.725 max(relative change in state) = 0.20305
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 346 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 347 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 347 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 149.04 max(relative change in state) = -
n_iter = 2 J = 132.21 max(relative change in state) = 2.7041
n_iter = 3 J = 124.96 max(relative change in state) = 0.99787
n_iter = 4 J = 125.79 max(relative change in state) = 0.91942
n_iter = 5 J = 124.70 max(relative change in state) = 0.65342
n_iter = 6 J = 124.65 max(relative change in state) = 0.66032E-01
n_iter = 7 J = 124.53 max(relative change in state) = 0.19414
n_iter = 8 J = 124.45 max(relative change in state) = 0.81258E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 347 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 348 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 348 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 28.562 max(relative change in state) = -
n_iter = 2 J = 26.935 max(relative change in state) = 0.10507
n_iter = 3 J = 20.770 max(relative change in state) = 0.84193
n_iter = 4 J = 20.153 max(relative change in state) = 0.25201
n_iter = 5 J = 19.848 max(relative change in state) = 0.32264
n_iter = 6 J = 19.354 max(relative change in state) = 0.14981
n_iter = 7 J = 19.093 max(relative change in state) = 0.87616E-01
n_iter = 8 J = 18.994 max(relative change in state) = 0.92015E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 348 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 349 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 349 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.220 max(relative change in state) = -
n_iter = 2 J = 26.031 max(relative change in state) = 0.54820
n_iter = 3 J = 21.285 max(relative change in state) = 1.1010
n_iter = 4 J = 23.754 max(relative change in state) = 0.94213
n_iter = 5 J = 21.266 max(relative change in state) = 0.86698
n_iter = 6 J = 21.261 max(relative change in state) = 0.76787E-02
n_iter = 7 J = 21.223 max(relative change in state) = 0.20542
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 349 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 350 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 350 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 103.19 max(relative change in state) = -
n_iter = 2 J = 93.976 max(relative change in state) = 2.1754
n_iter = 3 J = 93.117 max(relative change in state) = 0.52109
n_iter = 4 J = 94.156 max(relative change in state) = 0.66329
n_iter = 5 J = 93.090 max(relative change in state) = 0.58461
n_iter = 6 J = 93.079 max(relative change in state) = 0.10722E-01
n_iter = 7 J = 93.116 max(relative change in state) = 0.17276
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 350 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 351 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 351 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 123.67 max(relative change in state) = -
n_iter = 2 J = 117.91 max(relative change in state) = 0.40612
n_iter = 3 J = 111.89 max(relative change in state) = 0.53035
n_iter = 4 J = 101.88 max(relative change in state) = 1.1611
n_iter = 5 J = 99.963 max(relative change in state) = 0.42565
n_iter = 6 J = 98.315 max(relative change in state) = 0.93825
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 351 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 352 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 352 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 403.73 max(relative change in state) = -
n_iter = 2 J = 1180.0 max(relative change in state) = 23.235
n_iter = 3 J = 340.56 max(relative change in state) = 17.324
n_iter = 4 J = 343.93 max(relative change in state) = 1.4792
n_iter = 5 J = 340.25 max(relative change in state) = 0.97329
n_iter = 6 J = 339.92 max(relative change in state) = 0.19192
n_iter = 7 J = 339.70 max(relative change in state) = 0.27078
n_iter = 8 J = 339.58 max(relative change in state) = 0.91747E-01
n_iter = 9 J = 339.00 max(relative change in state) = 0.53729
n_iter = 10 J = 339.17 max(relative change in state) = 0.36899
n_iter = 11 J = 338.85 max(relative change in state) = 0.20234
n_iter = 12 J = 338.83 max(relative change in state) = 0.14284E-01
n_iter = 13 J = 338.81 max(relative change in state) = 0.16615
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 352 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 353 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 353 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 242.75 max(relative change in state) = -
n_iter = 2 J = 464.92 max(relative change in state) = 9.7678
n_iter = 3 J = 214.72 max(relative change in state) = 7.8661
n_iter = 4 J = 214.61 max(relative change in state) = 0.26532
n_iter = 5 J = 214.31 max(relative change in state) = 0.21456
n_iter = 6 J = 214.17 max(relative change in state) = 0.75819E-01
n_iter = 7 J = 214.36 max(relative change in state) = 0.15501
n_iter = 8 J = 214.04 max(relative change in state) = 0.99296E-01
n_iter = 9 J = 213.94 max(relative change in state) = 0.52189E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 353 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 354 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 354 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 75.541 max(relative change in state) = -
n_iter = 2 J = 64.997 max(relative change in state) = 0.78568
n_iter = 3 J = 56.925 max(relative change in state) = 1.2756
n_iter = 4 J = 56.940 max(relative change in state) = 0.41549
n_iter = 5 J = 56.153 max(relative change in state) = 0.40232
n_iter = 6 J = 55.977 max(relative change in state) = 0.10728
n_iter = 7 J = 56.060 max(relative change in state) = 0.33704
n_iter = 8 J = 55.795 max(relative change in state) = 0.19047
n_iter = 9 J = 55.739 max(relative change in state) = 0.57468E-01
n_iter = 10 J = 55.816 max(relative change in state) = 0.97682E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 354 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 355 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 355 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 97.865 max(relative change in state) = -
n_iter = 2 J = 85.658 max(relative change in state) = 1.5290
n_iter = 3 J = 83.169 max(relative change in state) = 0.88903
n_iter = 4 J = 87.512 max(relative change in state) = 1.2181
n_iter = 5 J = 82.987 max(relative change in state) = 1.0720
n_iter = 6 J = 82.925 max(relative change in state) = 0.18355E-01
n_iter = 7 J = 82.718 max(relative change in state) = 0.16777
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 355 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 356 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 356 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 200.05 max(relative change in state) = -
n_iter = 2 J = 229.42 max(relative change in state) = 8.2653
n_iter = 3 J = 164.90 max(relative change in state) = 5.2472
n_iter = 4 J = 181.79 max(relative change in state) = 3.0672
n_iter = 5 J = 164.77 max(relative change in state) = 2.7881
n_iter = 6 J = 164.76 max(relative change in state) = 0.10229E-01
n_iter = 7 J = 164.62 max(relative change in state) = 0.15692
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 356 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 357 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 357 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 41.008 max(relative change in state) = -
n_iter = 2 J = 35.827 max(relative change in state) = 1.2999
n_iter = 3 J = 35.199 max(relative change in state) = 0.43979
n_iter = 4 J = 37.021 max(relative change in state) = 1.3913
n_iter = 5 J = 35.176 max(relative change in state) = 1.2507
n_iter = 6 J = 35.175 max(relative change in state) = 0.38056E-02
n_iter = 7 J = 35.171 max(relative change in state) = 0.17371E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 357 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 358 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 358 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 97.059 max(relative change in state) = -
n_iter = 2 J = 83.685 max(relative change in state) = 0.55028
n_iter = 3 J = 70.870 max(relative change in state) = 1.6325
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 358 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 359 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 359 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.124 max(relative change in state) = -
n_iter = 2 J = 30.275 max(relative change in state) = 0.42922
n_iter = 3 J = 24.392 max(relative change in state) = 1.0418
n_iter = 4 J = 24.210 max(relative change in state) = 0.40218
n_iter = 5 J = 23.805 max(relative change in state) = 0.21329
n_iter = 6 J = 23.751 max(relative change in state) = 0.13091
n_iter = 7 J = 23.720 max(relative change in state) = 0.85510E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 359 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 360 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 360 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.363 max(relative change in state) = -
n_iter = 2 J = 15.287 max(relative change in state) = 0.61538
n_iter = 3 J = 14.740 max(relative change in state) = 0.42681
n_iter = 4 J = 16.567 max(relative change in state) = 1.0658
n_iter = 5 J = 14.714 max(relative change in state) = 0.98934
n_iter = 6 J = 14.699 max(relative change in state) = 0.14886E-01
n_iter = 7 J = 14.849 max(relative change in state) = 0.16274
n_iter = 8 J = 14.685 max(relative change in state) = 0.15343
n_iter = 9 J = 14.674 max(relative change in state) = 0.12136E-01
n_iter = 10 J = 14.673 max(relative change in state) = 0.49640E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 360 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 361 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 361 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 34.139 max(relative change in state) = -
n_iter = 2 J = 29.248 max(relative change in state) = 0.76616
n_iter = 3 J = 27.259 max(relative change in state) = 0.92498
n_iter = 4 J = 29.613 max(relative change in state) = 1.1840
n_iter = 5 J = 27.190 max(relative change in state) = 1.0320
n_iter = 6 J = 27.169 max(relative change in state) = 0.19238E-01
n_iter = 7 J = 27.085 max(relative change in state) = 0.30812
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 361 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 362 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 362 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 155.69 max(relative change in state) = -
n_iter = 2 J = 182.22 max(relative change in state) = 6.3644
n_iter = 3 J = 142.69 max(relative change in state) = 4.3806
n_iter = 4 J = 142.71 max(relative change in state) = 0.17268
n_iter = 5 J = 142.66 max(relative change in state) = 0.10791
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 362 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 363 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 363 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 82.908 max(relative change in state) = -
n_iter = 2 J = 69.939 max(relative change in state) = 0.78127
n_iter = 3 J = 58.090 max(relative change in state) = 1.4357
n_iter = 4 J = 57.714 max(relative change in state) = 0.23716
n_iter = 5 J = 57.680 max(relative change in state) = 0.92030
n_iter = 6 J = 55.650 max(relative change in state) = 0.34960
n_iter = 7 J = 55.357 max(relative change in state) = 0.16559
n_iter = 8 J = 55.308 max(relative change in state) = 0.89948E-01
n_iter = 9 J = 55.119 max(relative change in state) = 0.11528
n_iter = 10 J = 54.927 max(relative change in state) = 0.55218
n_iter = 11 J = 54.691 max(relative change in state) = 0.20368
n_iter = 12 J = 54.595 max(relative change in state) = 0.39115E-01
n_iter = 13 J = 54.624 max(relative change in state) = 0.25425
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 363 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 364 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 364 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.203 max(relative change in state) = -
n_iter = 2 J = 23.181 max(relative change in state) = 0.58199
n_iter = 3 J = 21.503 max(relative change in state) = 0.57126
n_iter = 4 J = 23.281 max(relative change in state) = 0.81056
n_iter = 5 J = 21.485 max(relative change in state) = 0.73945
n_iter = 6 J = 21.481 max(relative change in state) = 0.61837E-02
n_iter = 7 J = 21.451 max(relative change in state) = 0.14565
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 364 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 365 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 365 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 11.148 max(relative change in state) = -
n_iter = 2 J = 9.3071 max(relative change in state) = 0.34594
n_iter = 3 J = 7.6881 max(relative change in state) = 0.75865
n_iter = 4 J = 8.8776 max(relative change in state) = 0.82719
n_iter = 5 J = 7.6684 max(relative change in state) = 0.73374
n_iter = 6 J = 7.6638 max(relative change in state) = 0.52554E-02
n_iter = 7 J = 7.6366 max(relative change in state) = 0.12576
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 365 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 366 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 366 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 87.651 max(relative change in state) = -
n_iter = 2 J = 75.519 max(relative change in state) = 1.3769
n_iter = 3 J = 70.966 max(relative change in state) = 1.0850
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 366 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 367 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 367 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 94.958 max(relative change in state) = -
n_iter = 2 J = 80.340 max(relative change in state) = 0.91205
n_iter = 3 J = 72.268 max(relative change in state) = 1.3527
n_iter = 4 J = 72.251 max(relative change in state) = 0.37134
n_iter = 5 J = 71.991 max(relative change in state) = 0.21877
n_iter = 6 J = 71.985 max(relative change in state) = 0.47098E-01
n_iter = 7 J = 71.982 max(relative change in state) = 0.32820E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 367 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 368 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 368 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.545 max(relative change in state) = -
n_iter = 2 J = 36.329 max(relative change in state) = 0.78261
n_iter = 3 J = 33.560 max(relative change in state) = 0.97787
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 368 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 369 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 369 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 71.240 max(relative change in state) = -
n_iter = 2 J = 60.934 max(relative change in state) = 1.3868
n_iter = 3 J = 57.242 max(relative change in state) = 1.3603
n_iter = 4 J = 61.477 max(relative change in state) = 1.7030
n_iter = 5 J = 57.200 max(relative change in state) = 1.5517
n_iter = 6 J = 57.191 max(relative change in state) = 0.12798E-01
n_iter = 7 J = 57.202 max(relative change in state) = 0.26005
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 369 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 370 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 370 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 5 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 50.049 max(relative change in state) = -
n_iter = 2 J = 41.337 max(relative change in state) = 0.36449
n_iter = 3 J = 28.408 max(relative change in state) = 0.97530
n_iter = 4 J = 26.485 max(relative change in state) = 0.44641
n_iter = 5 J = 31.754 max(relative change in state) = 1.0529
n_iter = 6 J = 25.567 max(relative change in state) = 0.86925
n_iter = 7 J = 25.466 max(relative change in state) = 0.58210E-01
n_iter = 8 J = 25.267 max(relative change in state) = 0.16629
n_iter = 9 J = 25.182 max(relative change in state) = 0.12362
n_iter = 10 J = 25.160 max(relative change in state) = 0.10409
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 370 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 371 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 371 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 371 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 372 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 372 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 34.476 max(relative change in state) = -
n_iter = 2 J = 28.551 max(relative change in state) = 0.63682
n_iter = 3 J = 21.356 max(relative change in state) = 1.6477
n_iter = 4 J = 27.626 max(relative change in state) = 1.8925
n_iter = 5 J = 21.234 max(relative change in state) = 1.6556
n_iter = 6 J = 21.207 max(relative change in state) = 0.17326E-01
n_iter = 7 J = 21.096 max(relative change in state) = 0.24355
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 372 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 373 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 373 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 550.78 max(relative change in state) = -
n_iter = 2 J = 2114.8 max(relative change in state) = 31.517
n_iter = 3 J = 474.77 max(relative change in state) = 26.812
n_iter = 4 J = 471.86 max(relative change in state) = 0.98426
n_iter = 5 J = 478.13 max(relative change in state) = 1.3300
n_iter = 6 J = 471.21 max(relative change in state) = 0.94673
n_iter = 7 J = 471.16 max(relative change in state) = 0.47425E-01
n_iter = 8 J = 471.01 max(relative change in state) = 0.35600
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 373 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 374 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 374 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 854.73 max(relative change in state) = -
n_iter = 2 J = 726.10 max(relative change in state) = 9.5595
n_iter = 3 J = 748.31 max(relative change in state) = 3.6389
n_iter = 4 J = 721.62 max(relative change in state) = 2.9790
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 374 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 375 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 375 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 375 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 376 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 376 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 119.99 max(relative change in state) = -
n_iter = 2 J = 103.28 max(relative change in state) = 1.6428
n_iter = 3 J = 99.058 max(relative change in state) = 0.99169
n_iter = 4 J = 113.82 max(relative change in state) = 2.5865
n_iter = 5 J = 98.963 max(relative change in state) = 2.3818
n_iter = 6 J = 98.948 max(relative change in state) = 0.11730E-01
n_iter = 7 J = 98.800 max(relative change in state) = 0.28422
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 376 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 377 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 377 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 18.153 max(relative change in state) = -
n_iter = 2 J = 15.359 max(relative change in state) = 0.51160
n_iter = 3 J = 13.795 max(relative change in state) = 0.88883
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 377 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 378 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 378 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 59.444 max(relative change in state) = -
n_iter = 2 J = 49.946 max(relative change in state) = 1.1755
n_iter = 3 J = 44.242 max(relative change in state) = 1.6247
n_iter = 4 J = 44.924 max(relative change in state) = 0.84302
n_iter = 5 J = 44.232 max(relative change in state) = 0.76024
n_iter = 6 J = 44.229 max(relative change in state) = 0.48177E-02
n_iter = 7 J = 44.213 max(relative change in state) = 0.65719E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 378 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 379 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 379 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 1 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 66.049 max(relative change in state) = -
n_iter = 2 J = 57.906 max(relative change in state) = 0.57319
n_iter = 3 J = 51.642 max(relative change in state) = 1.0580
n_iter = 4 J = 51.604 max(relative change in state) = 0.58074
n_iter = 5 J = 50.770 max(relative change in state) = 0.50654
n_iter = 6 J = 50.677 max(relative change in state) = 0.27556E-01
n_iter = 7 J = 50.597 max(relative change in state) = 0.52970E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 379 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 380 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 380 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 172.15 max(relative change in state) = -
n_iter = 2 J = 151.61 max(relative change in state) = 3.9052
n_iter = 3 J = 144.30 max(relative change in state) = 1.5501
n_iter = 4 J = 148.67 max(relative change in state) = 1.5655
n_iter = 5 J = 143.94 max(relative change in state) = 1.3849
n_iter = 6 J = 143.67 max(relative change in state) = 0.67870E-01
n_iter = 7 J = 143.72 max(relative change in state) = 0.16096
n_iter = 8 J = 143.20 max(relative change in state) = 0.85839E-01
n_iter = 9 J = 142.50 max(relative change in state) = 0.25282
n_iter = 10 J = 141.43 max(relative change in state) = 0.58824
n_iter = 11 J = 141.77 max(relative change in state) = 1.0174
n_iter = 12 J = 140.87 max(relative change in state) = 0.61751
n_iter = 13 J = 140.76 max(relative change in state) = 0.13916
n_iter = 14 J = 140.58 max(relative change in state) = 0.18397
n_iter = 15 J = 140.36 max(relative change in state) = 0.13909
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 16.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 380 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 381 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 381 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 112.46 max(relative change in state) = -
n_iter = 2 J = 96.722 max(relative change in state) = 2.3284
n_iter = 3 J = 93.346 max(relative change in state) = 1.8978
n_iter = 4 J = 102.27 max(relative change in state) = 2.6788
n_iter = 5 J = 93.293 max(relative change in state) = 2.4933
n_iter = 6 J = 93.282 max(relative change in state) = 0.90879E-02
n_iter = 7 J = 93.287 max(relative change in state) = 0.14919
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 381 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 382 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 382 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 76.389 max(relative change in state) = -
n_iter = 2 J = 65.192 max(relative change in state) = 0.97245
n_iter = 3 J = 59.254 max(relative change in state) = 1.3925
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 382 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 383 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 383 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.454 max(relative change in state) = -
n_iter = 2 J = 27.977 max(relative change in state) = 0.52020
n_iter = 3 J = 23.669 max(relative change in state) = 0.95557
n_iter = 4 J = 24.645 max(relative change in state) = 0.76325
n_iter = 5 J = 23.652 max(relative change in state) = 0.68357
n_iter = 6 J = 23.647 max(relative change in state) = 0.67634E-02
n_iter = 7 J = 23.636 max(relative change in state) = 0.14565
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 383 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 384 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 384 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 384 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 385 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 385 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.467 max(relative change in state) = -
n_iter = 2 J = 45.359 max(relative change in state) = 1.1937
n_iter = 3 J = 44.336 max(relative change in state) = 0.55818
n_iter = 4 J = 46.095 max(relative change in state) = 1.1645
n_iter = 5 J = 44.310 max(relative change in state) = 1.0664
n_iter = 6 J = 44.303 max(relative change in state) = 0.78693E-02
n_iter = 7 J = 44.275 max(relative change in state) = 0.10213
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 385 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 386 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 386 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 66.645 max(relative change in state) = -
n_iter = 2 J = 57.950 max(relative change in state) = 1.1563
n_iter = 3 J = 55.861 max(relative change in state) = 0.95354
n_iter = 4 J = 63.324 max(relative change in state) = 1.9695
n_iter = 5 J = 55.827 max(relative change in state) = 1.8440
n_iter = 6 J = 55.820 max(relative change in state) = 0.87468E-02
n_iter = 7 J = 55.789 max(relative change in state) = 0.20347
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 386 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 387 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 387 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.626 max(relative change in state) = -
n_iter = 2 J = 26.700 max(relative change in state) = 0.60601
n_iter = 3 J = 22.692 max(relative change in state) = 1.1587
n_iter = 4 J = 23.262 max(relative change in state) = 0.64402
n_iter = 5 J = 22.660 max(relative change in state) = 0.56608
n_iter = 6 J = 22.640 max(relative change in state) = 0.18347E-01
n_iter = 7 J = 22.624 max(relative change in state) = 0.15137
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 387 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 388 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 388 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.470 max(relative change in state) = -
n_iter = 2 J = 21.342 max(relative change in state) = 0.46353
n_iter = 3 J = 17.524 max(relative change in state) = 1.1499
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 388 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 389 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 389 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.484 max(relative change in state) = -
n_iter = 2 J = 31.088 max(relative change in state) = 0.67767
n_iter = 3 J = 28.609 max(relative change in state) = 0.91130
n_iter = 4 J = 31.142 max(relative change in state) = 1.2012
n_iter = 5 J = 28.563 max(relative change in state) = 1.0724
n_iter = 6 J = 28.549 max(relative change in state) = 0.16998E-01
n_iter = 7 J = 28.503 max(relative change in state) = 0.29880
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 389 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 390 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 390 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.498 max(relative change in state) = -
n_iter = 2 J = 46.575 max(relative change in state) = 0.54599
n_iter = 3 J = 37.397 max(relative change in state) = 2.6268
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 390 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 391 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 391 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 54.082 max(relative change in state) = -
n_iter = 2 J = 46.910 max(relative change in state) = 0.71967
n_iter = 3 J = 42.711 max(relative change in state) = 1.0671
n_iter = 4 J = 43.254 max(relative change in state) = 0.61703
n_iter = 5 J = 42.282 max(relative change in state) = 0.44760
n_iter = 6 J = 42.235 max(relative change in state) = 0.80108E-01
n_iter = 7 J = 42.146 max(relative change in state) = 0.15347
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 391 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 392 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 392 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 99.660 max(relative change in state) = -
n_iter = 2 J = 87.141 max(relative change in state) = 1.6427
n_iter = 3 J = 84.616 max(relative change in state) = 0.71846
n_iter = 4 J = 94.729 max(relative change in state) = 2.4246
n_iter = 5 J = 84.530 max(relative change in state) = 2.2109
n_iter = 6 J = 84.514 max(relative change in state) = 0.85073E-02
n_iter = 7 J = 84.448 max(relative change in state) = 0.21076
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 392 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 393 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 393 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 199.76 max(relative change in state) = -
n_iter = 2 J = 191.55 max(relative change in state) = 5.6202
n_iter = 3 J = 176.06 max(relative change in state) = 0.89715
n_iter = 4 J = 171.25 max(relative change in state) = 0.57943
n_iter = 5 J = 168.52 max(relative change in state) = 0.22690
n_iter = 6 J = 167.45 max(relative change in state) = 0.13558
n_iter = 7 J = 165.82 max(relative change in state) = 0.21189
n_iter = 8 J = 167.02 max(relative change in state) = 0.48340
n_iter = 9 J = 164.60 max(relative change in state) = 0.28416
n_iter = 10 J = 164.45 max(relative change in state) = 0.41428E-01
n_iter = 11 J = 164.14 max(relative change in state) = 0.11598
n_iter = 12 J = 163.93 max(relative change in state) = 0.13219
n_iter = 13 J = 163.81 max(relative change in state) = 0.10235
n_iter = 14 J = 163.78 max(relative change in state) = 0.15367
n_iter = 15 J = 163.78 max(relative change in state) = 0.67994E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 393 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 394 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 394 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 119.78 max(relative change in state) = -
n_iter = 2 J = 101.11 max(relative change in state) = 1.2480
n_iter = 3 J = 90.432 max(relative change in state) = 1.4861
n_iter = 4 J = 102.61 max(relative change in state) = 2.6994
n_iter = 5 J = 90.265 max(relative change in state) = 2.4280
n_iter = 6 J = 90.220 max(relative change in state) = 0.26119E-01
n_iter = 7 J = 90.163 max(relative change in state) = 0.61045
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 394 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 395 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 395 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 176.37 max(relative change in state) = -
n_iter = 2 J = 170.08 max(relative change in state) = 0.74049
n_iter = 3 J = 174.61 max(relative change in state) = 1.5730
n_iter = 4 J = 173.00 max(relative change in state) = 0.62640
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 395 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 396 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 396 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 278.27 max(relative change in state) = -
n_iter = 2 J = 505.76 max(relative change in state) = 14.748
n_iter = 3 J = 229.60 max(relative change in state) = 11.087
n_iter = 4 J = 229.41 max(relative change in state) = 0.58931
n_iter = 5 J = 228.98 max(relative change in state) = 0.27581
n_iter = 6 J = 228.88 max(relative change in state) = 0.22653
n_iter = 7 J = 228.86 max(relative change in state) = 0.89604E-01
n_iter = 8 J = 228.83 max(relative change in state) = 0.22084E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 396 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 397 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 397 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.199 max(relative change in state) = -
n_iter = 2 J = 44.827 max(relative change in state) = 0.95690
n_iter = 3 J = 43.767 max(relative change in state) = 0.81910
n_iter = 4 J = 47.819 max(relative change in state) = 1.6129
n_iter = 5 J = 43.732 max(relative change in state) = 1.4660
n_iter = 6 J = 43.727 max(relative change in state) = 0.58250E-02
n_iter = 7 J = 43.710 max(relative change in state) = 0.10993
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 397 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 398 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 398 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 53.943 max(relative change in state) = -
n_iter = 2 J = 48.117 max(relative change in state) = 0.41068
n_iter = 3 J = 42.241 max(relative change in state) = 1.7766
n_iter = 4 J = 41.480 max(relative change in state) = 0.32830
n_iter = 5 J = 43.804 max(relative change in state) = 1.4534
n_iter = 6 J = 39.013 max(relative change in state) = 0.70673
n_iter = 7 J = 38.332 max(relative change in state) = 0.32877
n_iter = 8 J = 38.021 max(relative change in state) = 0.72379E-01
n_iter = 9 J = 37.835 max(relative change in state) = 0.55922E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 398 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 399 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 399 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 399 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 400 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 400 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.153 max(relative change in state) = -
n_iter = 2 J = 21.761 max(relative change in state) = 0.41328
n_iter = 3 J = 19.784 max(relative change in state) = 0.61183
n_iter = 4 J = 19.779 max(relative change in state) = 0.25161
n_iter = 5 J = 19.701 max(relative change in state) = 0.18529
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 400 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 401 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 401 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 109.45 max(relative change in state) = -
n_iter = 2 J = 100.69 max(relative change in state) = 0.63876
n_iter = 3 J = 84.878 max(relative change in state) = 1.5037
n_iter = 4 J = 93.552 max(relative change in state) = 2.3307
n_iter = 5 J = 84.018 max(relative change in state) = 2.0622
n_iter = 6 J = 83.471 max(relative change in state) = 0.85893E-01
n_iter = 7 J = 82.763 max(relative change in state) = 0.35863
n_iter = 8 J = 81.744 max(relative change in state) = 0.23644
n_iter = 9 J = 81.249 max(relative change in state) = 0.11715
n_iter = 10 J = 81.309 max(relative change in state) = 0.32471
n_iter = 11 J = 80.843 max(relative change in state) = 0.27702
n_iter = 12 J = 80.438 max(relative change in state) = 0.69826E-01
n_iter = 13 J = 80.326 max(relative change in state) = 0.47918
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 401 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 402 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 402 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.036 max(relative change in state) = -
n_iter = 2 J = 14.404 max(relative change in state) = 0.51087
n_iter = 3 J = 13.070 max(relative change in state) = 0.64186
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 402 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 403 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 403 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 126.06 max(relative change in state) = -
n_iter = 2 J = 109.60 max(relative change in state) = 0.72515
n_iter = 3 J = 95.340 max(relative change in state) = 1.9138
n_iter = 4 J = 104.14 max(relative change in state) = 2.3004
n_iter = 5 J = 94.311 max(relative change in state) = 1.9214
n_iter = 6 J = 93.893 max(relative change in state) = 0.11557
n_iter = 7 J = 93.768 max(relative change in state) = 0.71494
n_iter = 8 J = 93.347 max(relative change in state) = 0.44527
n_iter = 9 J = 93.272 max(relative change in state) = 0.17935
n_iter = 10 J = 93.236 max(relative change in state) = 0.65808E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 403 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 404 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 404 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 261.45 max(relative change in state) = -
n_iter = 2 J = 389.28 max(relative change in state) = 13.077
n_iter = 3 J = 223.20 max(relative change in state) = 8.7033
n_iter = 4 J = 236.02 max(relative change in state) = 2.8409
n_iter = 5 J = 221.89 max(relative change in state) = 2.1083
n_iter = 6 J = 220.53 max(relative change in state) = 0.45075
n_iter = 7 J = 219.70 max(relative change in state) = 0.30370
n_iter = 8 J = 219.16 max(relative change in state) = 0.21250
n_iter = 9 J = 218.56 max(relative change in state) = 0.21781
n_iter = 10 J = 218.37 max(relative change in state) = 0.16482
n_iter = 11 J = 218.17 max(relative change in state) = 0.22699
n_iter = 12 J = 217.89 max(relative change in state) = 0.14286
n_iter = 13 J = 217.89 max(relative change in state) = 0.30363
n_iter = 14 J = 217.62 max(relative change in state) = 0.86225E-01
n_iter = 15 J = 217.56 max(relative change in state) = 0.57079E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 404 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 405 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 405 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 28.095 max(relative change in state) = -
n_iter = 2 J = 23.744 max(relative change in state) = 0.75333
n_iter = 3 J = 21.627 max(relative change in state) = 0.93983
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 405 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 406 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 406 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.227 max(relative change in state) = -
n_iter = 2 J = 41.965 max(relative change in state) = 0.89881
n_iter = 3 J = 40.551 max(relative change in state) = 0.89348
n_iter = 4 J = 41.200 max(relative change in state) = 0.54327
n_iter = 5 J = 40.536 max(relative change in state) = 0.48338
n_iter = 6 J = 40.532 max(relative change in state) = 0.74141E-02
n_iter = 7 J = 40.516 max(relative change in state) = 0.87842E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 406 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 407 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 407 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 101.11 max(relative change in state) = -
n_iter = 2 J = 87.007 max(relative change in state) = 1.3022
n_iter = 3 J = 83.160 max(relative change in state) = 1.0315
n_iter = 4 J = 93.281 max(relative change in state) = 2.4013
n_iter = 5 J = 82.833 max(relative change in state) = 1.9756
n_iter = 6 J = 82.808 max(relative change in state) = 0.16159E-01
n_iter = 7 J = 82.725 max(relative change in state) = 0.19185
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 407 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 408 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 408 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 171.60 max(relative change in state) = -
n_iter = 2 J = 190.48 max(relative change in state) = 5.9234
n_iter = 3 J = 148.48 max(relative change in state) = 3.3490
n_iter = 4 J = 165.92 max(relative change in state) = 3.2523
n_iter = 5 J = 148.29 max(relative change in state) = 2.9195
n_iter = 6 J = 148.27 max(relative change in state) = 0.12977E-01
n_iter = 7 J = 148.09 max(relative change in state) = 0.32036
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 408 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 409 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 409 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 409 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 410 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 410 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 46.761 max(relative change in state) = -
n_iter = 2 J = 38.856 max(relative change in state) = 0.58273
n_iter = 3 J = 30.614 max(relative change in state) = 1.5761
n_iter = 4 J = 35.378 max(relative change in state) = 1.6068
n_iter = 5 J = 30.569 max(relative change in state) = 1.4630
n_iter = 6 J = 30.558 max(relative change in state) = 0.92723E-02
n_iter = 7 J = 30.507 max(relative change in state) = 0.24025
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 410 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 411 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 411 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 115.06 max(relative change in state) = -
n_iter = 2 J = 95.291 max(relative change in state) = 1.0428
n_iter = 3 J = 73.416 max(relative change in state) = 2.3281
n_iter = 4 J = 82.030 max(relative change in state) = 2.2670
n_iter = 5 J = 73.240 max(relative change in state) = 1.9727
n_iter = 6 J = 73.208 max(relative change in state) = 0.14751E-01
n_iter = 7 J = 72.919 max(relative change in state) = 0.44657
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 411 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 412 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 412 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 12.151 max(relative change in state) = -
n_iter = 2 J = 10.402 max(relative change in state) = 0.51011
n_iter = 3 J = 9.8439 max(relative change in state) = 0.38983
n_iter = 4 J = 11.306 max(relative change in state) = 0.93395
n_iter = 5 J = 9.8122 max(relative change in state) = 0.79795
n_iter = 6 J = 9.8104 max(relative change in state) = 0.37412E-02
n_iter = 7 J = 9.7938 max(relative change in state) = 0.74406E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 412 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 413 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 413 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.817 max(relative change in state) = -
n_iter = 2 J = 35.551 max(relative change in state) = 0.42678
n_iter = 3 J = 27.495 max(relative change in state) = 0.90118
n_iter = 4 J = 26.453 max(relative change in state) = 0.30641
n_iter = 5 J = 25.776 max(relative change in state) = 0.15329
n_iter = 6 J = 25.869 max(relative change in state) = 0.24295
n_iter = 7 J = 25.345 max(relative change in state) = 0.18595
n_iter = 8 J = 25.317 max(relative change in state) = 0.25535E-01
n_iter = 9 J = 25.277 max(relative change in state) = 0.37882E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 413 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 414 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 414 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 49.922 max(relative change in state) = -
n_iter = 2 J = 41.268 max(relative change in state) = 0.52383
n_iter = 3 J = 28.709 max(relative change in state) = 1.3698
n_iter = 4 J = 27.199 max(relative change in state) = 0.52272
n_iter = 5 J = 27.418 max(relative change in state) = 0.43010
n_iter = 6 J = 26.817 max(relative change in state) = 0.25507
n_iter = 7 J = 26.756 max(relative change in state) = 0.65172E-01
n_iter = 8 J = 26.684 max(relative change in state) = 0.89359E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 414 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 415 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 415 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 59.879 max(relative change in state) = -
n_iter = 2 J = 51.951 max(relative change in state) = 0.79505
n_iter = 3 J = 49.189 max(relative change in state) = 0.96788
n_iter = 4 J = 48.354 max(relative change in state) = 0.28975
n_iter = 5 J = 48.275 max(relative change in state) = 0.28382
n_iter = 6 J = 47.994 max(relative change in state) = 0.11675
n_iter = 7 J = 47.925 max(relative change in state) = 0.83562E-01
n_iter = 8 J = 47.891 max(relative change in state) = 0.31584E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 415 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 416 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 416 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 59.119 max(relative change in state) = -
n_iter = 2 J = 56.204 max(relative change in state) = 1.7242
n_iter = 3 J = 54.552 max(relative change in state) = 0.79654
n_iter = 4 J = 56.720 max(relative change in state) = 1.0638
n_iter = 5 J = 54.519 max(relative change in state) = 0.92856
n_iter = 6 J = 54.517 max(relative change in state) = 0.58903E-02
n_iter = 7 J = 54.507 max(relative change in state) = 0.36558E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 416 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 417 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 417 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 19.827 max(relative change in state) = -
n_iter = 2 J = 16.614 max(relative change in state) = 0.63490
n_iter = 3 J = 14.252 max(relative change in state) = 0.97044
n_iter = 4 J = 15.516 max(relative change in state) = 0.97582
n_iter = 5 J = 14.231 max(relative change in state) = 0.86258
n_iter = 6 J = 14.226 max(relative change in state) = 0.81712E-02
n_iter = 7 J = 14.202 max(relative change in state) = 0.22511
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 417 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 418 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 418 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.017 max(relative change in state) = -
n_iter = 2 J = 42.616 max(relative change in state) = 0.77505
n_iter = 3 J = 36.121 max(relative change in state) = 1.5333
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 418 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 419 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 419 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 92.981 max(relative change in state) = -
n_iter = 2 J = 81.844 max(relative change in state) = 1.5190
n_iter = 3 J = 79.563 max(relative change in state) = 1.1926
n_iter = 4 J = 85.226 max(relative change in state) = 1.8047
n_iter = 5 J = 79.528 max(relative change in state) = 1.6869
n_iter = 6 J = 79.515 max(relative change in state) = 0.81391E-02
n_iter = 7 J = 79.603 max(relative change in state) = 0.21398
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 419 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 420 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 420 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 22.422 max(relative change in state) = -
n_iter = 2 J = 18.856 max(relative change in state) = 0.77008
n_iter = 3 J = 16.881 max(relative change in state) = 1.0413
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 420 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 421 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 421 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 421 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 422 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 422 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 20.366 max(relative change in state) = -
n_iter = 2 J = 17.339 max(relative change in state) = 0.43683
n_iter = 3 J = 15.159 max(relative change in state) = 0.96978
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 422 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 423 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 423 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 84.191 max(relative change in state) = -
n_iter = 2 J = 68.545 max(relative change in state) = 0.30588
n_iter = 3 J = 44.352 max(relative change in state) = 0.80046
n_iter = 4 J = 27.513 max(relative change in state) = 0.74140
n_iter = 5 J = 22.607 max(relative change in state) = 0.41205
n_iter = 6 J = 19.567 max(relative change in state) = 0.43992
n_iter = 7 J = 19.053 max(relative change in state) = 0.13978
n_iter = 8 J = 18.899 max(relative change in state) = 0.20164
n_iter = 9 J = 18.547 max(relative change in state) = 0.11330
n_iter = 10 J = 18.469 max(relative change in state) = 0.42307E-01
n_iter = 11 J = 18.339 max(relative change in state) = 0.70470E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 423 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 424 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 424 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.073 max(relative change in state) = -
n_iter = 2 J = 45.341 max(relative change in state) = 1.4456
n_iter = 3 J = 45.002 max(relative change in state) = 0.41449
n_iter = 4 J = 46.633 max(relative change in state) = 0.68907
n_iter = 5 J = 44.998 max(relative change in state) = 0.65787
n_iter = 6 J = 44.998 max(relative change in state) = 0.19223E-02
n_iter = 7 J = 44.991 max(relative change in state) = 0.54461E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 424 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 425 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 425 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 130.81 max(relative change in state) = -
n_iter = 2 J = 114.03 max(relative change in state) = 1.8543
n_iter = 3 J = 109.39 max(relative change in state) = 1.8381
n_iter = 4 J = 122.42 max(relative change in state) = 2.4956
n_iter = 5 J = 109.32 max(relative change in state) = 2.3174
n_iter = 6 J = 109.30 max(relative change in state) = 0.12235E-01
n_iter = 7 J = 109.23 max(relative change in state) = 0.23333
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 425 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 426 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 426 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.001 max(relative change in state) = -
n_iter = 2 J = 30.816 max(relative change in state) = 0.58411
n_iter = 3 J = 26.316 max(relative change in state) = 1.1361
n_iter = 4 J = 25.791 max(relative change in state) = 0.21938
n_iter = 5 J = 26.847 max(relative change in state) = 0.31634
n_iter = 6 J = 25.676 max(relative change in state) = 0.25050
n_iter = 7 J = 25.651 max(relative change in state) = 0.14664E-01
n_iter = 8 J = 25.593 max(relative change in state) = 0.10145
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 426 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 427 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 427 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 110.71 max(relative change in state) = -
n_iter = 2 J = 94.333 max(relative change in state) = 0.81551
n_iter = 3 J = 65.367 max(relative change in state) = 2.9085
n_iter = 4 J = 65.419 max(relative change in state) = 0.81931
n_iter = 5 J = 64.247 max(relative change in state) = 0.42480
n_iter = 6 J = 64.077 max(relative change in state) = 0.22771
n_iter = 7 J = 64.006 max(relative change in state) = 0.12010
n_iter = 8 J = 63.858 max(relative change in state) = 0.82155E-01
n_iter = 9 J = 63.594 max(relative change in state) = 0.14973
n_iter = 10 J = 63.710 max(relative change in state) = 0.22725
n_iter = 11 J = 63.516 max(relative change in state) = 0.14993
n_iter = 12 J = 63.502 max(relative change in state) = 0.18841E-01
n_iter = 13 J = 63.485 max(relative change in state) = 0.52532E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 427 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 428 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 428 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 537.05 max(relative change in state) = -
n_iter = 2 J = 1729.3 max(relative change in state) = 35.237
n_iter = 3 J = 450.86 max(relative change in state) = 26.701
n_iter = 4 J = 451.47 max(relative change in state) = 0.84421
n_iter = 5 J = 450.60 max(relative change in state) = 0.60766
n_iter = 6 J = 450.56 max(relative change in state) = 0.87230E-01
n_iter = 7 J = 450.53 max(relative change in state) = 0.13289
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 428 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 429 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 429 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 449.83 max(relative change in state) = -
n_iter = 2 J = 3237.3 max(relative change in state) = 34.298
n_iter = 3 J = 416.95 max(relative change in state) = 29.917
n_iter = 4 J = 431.45 max(relative change in state) = 2.8177
n_iter = 5 J = 416.73 max(relative change in state) = 2.5308
n_iter = 6 J = 416.67 max(relative change in state) = 0.14539E-01
n_iter = 7 J = 416.72 max(relative change in state) = 0.32146
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 429 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 430 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 430 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 123.62 max(relative change in state) = -
n_iter = 2 J = 103.52 max(relative change in state) = 1.4009
n_iter = 3 J = 88.535 max(relative change in state) = 2.6488
n_iter = 4 J = 98.900 max(relative change in state) = 2.3350
n_iter = 5 J = 88.453 max(relative change in state) = 2.1475
n_iter = 6 J = 88.432 max(relative change in state) = 0.19829E-01
n_iter = 7 J = 88.365 max(relative change in state) = 0.48105
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 430 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 431 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 431 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.216 max(relative change in state) = -
n_iter = 2 J = 21.015 max(relative change in state) = 0.53559
n_iter = 3 J = 17.504 max(relative change in state) = 1.0821
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 431 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 432 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 432 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 591.31 max(relative change in state) = -
n_iter = 2 J = 2936.9 max(relative change in state) = 32.403
n_iter = 3 J = 517.10 max(relative change in state) = 28.615
n_iter = 4 J = 527.60 max(relative change in state) = 2.7562
n_iter = 5 J = 516.69 max(relative change in state) = 2.4101
n_iter = 6 J = 516.51 max(relative change in state) = 0.42373E-01
n_iter = 7 J = 516.17 max(relative change in state) = 0.41103
n_iter = 8 J = 515.78 max(relative change in state) = 0.37179
n_iter = 9 J = 515.59 max(relative change in state) = 0.12920
n_iter = 10 J = 515.54 max(relative change in state) = 0.27308E-01
n_iter = 11 J = 515.24 max(relative change in state) = 0.21068
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 432 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 433 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 433 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.624 max(relative change in state) = -
n_iter = 2 J = 29.718 max(relative change in state) = 0.60610
n_iter = 3 J = 24.046 max(relative change in state) = 1.1778
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 433 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 434 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 434 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 153.13 max(relative change in state) = -
n_iter = 2 J = 168.28 max(relative change in state) = 5.8906
n_iter = 3 J = 140.67 max(relative change in state) = 2.9045
n_iter = 4 J = 165.72 max(relative change in state) = 3.6721
n_iter = 5 J = 140.55 max(relative change in state) = 3.3985
n_iter = 6 J = 140.54 max(relative change in state) = 0.11277E-01
n_iter = 7 J = 140.51 max(relative change in state) = 0.90773E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 434 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 435 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 435 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 152.04 max(relative change in state) = -
n_iter = 2 J = 139.82 max(relative change in state) = 4.4406
n_iter = 3 J = 133.34 max(relative change in state) = 1.5495
n_iter = 4 J = 133.55 max(relative change in state) = 0.50771
n_iter = 5 J = 133.24 max(relative change in state) = 0.35512
n_iter = 6 J = 133.22 max(relative change in state) = 0.58709E-01
n_iter = 7 J = 133.20 max(relative change in state) = 0.97617E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 435 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 436 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 436 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 267.21 max(relative change in state) = -
n_iter = 2 J = 636.03 max(relative change in state) = 12.160
n_iter = 3 J = 235.63 max(relative change in state) = 10.270
n_iter = 4 J = 234.93 max(relative change in state) = 0.36265
n_iter = 5 J = 236.26 max(relative change in state) = 0.62948
n_iter = 6 J = 234.68 max(relative change in state) = 0.40380
n_iter = 7 J = 234.65 max(relative change in state) = 0.18505E-01
n_iter = 8 J = 234.59 max(relative change in state) = 0.18946
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 436 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 437 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 437 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 305.87 max(relative change in state) = -
n_iter = 2 J = 1346.9 max(relative change in state) = 19.112
n_iter = 3 J = 273.74 max(relative change in state) = 17.169
n_iter = 4 J = 272.44 max(relative change in state) = 0.59149
n_iter = 5 J = 271.16 max(relative change in state) = 0.46806
n_iter = 6 J = 270.93 max(relative change in state) = 0.34272
n_iter = 7 J = 270.90 max(relative change in state) = 0.36960E-01
n_iter = 8 J = 270.90 max(relative change in state) = 0.21920
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 437 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 438 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 438 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 253.47 max(relative change in state) = -
n_iter = 2 J = 238.21 max(relative change in state) = 0.68122
n_iter = 3 J = 252.68 max(relative change in state) = 0.92027
n_iter = 4 J = 230.53 max(relative change in state) = 2.5063
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 438 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 439 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 439 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.469 max(relative change in state) = -
n_iter = 2 J = 32.990 max(relative change in state) = 0.58888
n_iter = 3 J = 26.770 max(relative change in state) = 1.5146
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 439 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 440 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 440 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 111.63 max(relative change in state) = -
n_iter = 2 J = 102.88 max(relative change in state) = 0.56749
n_iter = 3 J = 95.710 max(relative change in state) = 3.2125
n_iter = 4 J = 95.158 max(relative change in state) = 0.20954
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 440 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 441 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 441 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.190 max(relative change in state) = -
n_iter = 2 J = 46.706 max(relative change in state) = 0.95013E-01
n_iter = 3 J = 35.717 max(relative change in state) = 1.7171
n_iter = 4 J = 34.318 max(relative change in state) = 0.39586
n_iter = 5 J = 39.158 max(relative change in state) = 0.90395
n_iter = 6 J = 39.486 max(relative change in state) = 0.92547E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 441 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 442 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 442 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 145.09 max(relative change in state) = -
n_iter = 2 J = 123.16 max(relative change in state) = 2.6363
n_iter = 3 J = 121.12 max(relative change in state) = 0.69126
n_iter = 4 J = 127.47 max(relative change in state) = 1.7806
n_iter = 5 J = 120.83 max(relative change in state) = 1.4475
n_iter = 6 J = 120.79 max(relative change in state) = 0.24584E-01
n_iter = 7 J = 120.71 max(relative change in state) = 0.35546
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 442 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 443 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 443 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.425 max(relative change in state) = -
n_iter = 2 J = 22.911 max(relative change in state) = 0.57173
n_iter = 3 J = 19.378 max(relative change in state) = 1.1498
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 443 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 444 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 444 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 568.64 max(relative change in state) = -
n_iter = 2 J = 853.41 max(relative change in state) = 11.171
n_iter = 3 J = 531.97 max(relative change in state) = 7.6843
n_iter = 4 J = 525.41 max(relative change in state) = 0.39463
n_iter = 5 J = 512.44 max(relative change in state) = 1.1890
n_iter = 6 J = 513.17 max(relative change in state) = 0.71992
n_iter = 7 J = 510.73 max(relative change in state) = 0.42286
n_iter = 8 J = 510.43 max(relative change in state) = 0.53646E-01
n_iter = 9 J = 509.40 max(relative change in state) = 0.28045
n_iter = 10 J = 507.88 max(relative change in state) = 0.52975
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 444 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 445 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 445 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.524 max(relative change in state) = -
n_iter = 2 J = 29.743 max(relative change in state) = 0.39709
n_iter = 3 J = 25.766 max(relative change in state) = 0.80080
n_iter = 4 J = 28.065 max(relative change in state) = 1.0583
n_iter = 5 J = 25.413 max(relative change in state) = 0.89071
n_iter = 6 J = 25.230 max(relative change in state) = 0.57809E-01
n_iter = 7 J = 24.795 max(relative change in state) = 0.24778
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 445 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 446 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 446 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.876 max(relative change in state) = -
n_iter = 2 J = 30.227 max(relative change in state) = 0.50256
n_iter = 3 J = 24.744 max(relative change in state) = 1.3694
n_iter = 4 J = 24.546 max(relative change in state) = 0.51801
n_iter = 5 J = 24.360 max(relative change in state) = 0.46926
n_iter = 6 J = 24.062 max(relative change in state) = 0.15157
n_iter = 7 J = 24.009 max(relative change in state) = 0.24092E-01
n_iter = 8 J = 23.903 max(relative change in state) = 0.78274E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 446 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 447 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 447 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 181.27 max(relative change in state) = -
n_iter = 2 J = 191.13 max(relative change in state) = 7.0231
n_iter = 3 J = 152.70 max(relative change in state) = 3.6194
n_iter = 4 J = 159.57 max(relative change in state) = 2.1431
n_iter = 5 J = 152.53 max(relative change in state) = 1.9129
n_iter = 6 J = 152.46 max(relative change in state) = 0.38594E-01
n_iter = 7 J = 153.19 max(relative change in state) = 0.29951
n_iter = 8 J = 152.33 max(relative change in state) = 0.27581
n_iter = 9 J = 152.27 max(relative change in state) = 0.34670E-01
n_iter = 10 J = 152.10 max(relative change in state) = 0.22767
n_iter = 11 J = 151.89 max(relative change in state) = 0.26632
n_iter = 12 J = 151.81 max(relative change in state) = 0.22766
n_iter = 13 J = 151.75 max(relative change in state) = 0.10338
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 447 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 448 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 448 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 51.658 max(relative change in state) = -
n_iter = 2 J = 46.426 max(relative change in state) = 1.1809
n_iter = 3 J = 45.521 max(relative change in state) = 0.60030
n_iter = 4 J = 49.014 max(relative change in state) = 1.2592
n_iter = 5 J = 45.430 max(relative change in state) = 1.0933
n_iter = 6 J = 45.410 max(relative change in state) = 0.28147E-01
n_iter = 7 J = 45.351 max(relative change in state) = 0.28956
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 448 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 449 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 449 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 15.310 max(relative change in state) = -
n_iter = 2 J = 13.259 max(relative change in state) = 0.47279
n_iter = 3 J = 12.247 max(relative change in state) = 0.38716
n_iter = 4 J = 11.832 max(relative change in state) = 0.47042
n_iter = 5 J = 12.676 max(relative change in state) = 0.60447
n_iter = 6 J = 11.772 max(relative change in state) = 0.47517
n_iter = 7 J = 11.759 max(relative change in state) = 0.14467E-01
n_iter = 8 J = 11.728 max(relative change in state) = 0.13188
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 449 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 450 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 450 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 46.006 max(relative change in state) = -
n_iter = 2 J = 40.253 max(relative change in state) = 1.1105
n_iter = 3 J = 39.256 max(relative change in state) = 0.79100
n_iter = 4 J = 41.108 max(relative change in state) = 0.76229
n_iter = 5 J = 39.249 max(relative change in state) = 0.71713
n_iter = 6 J = 39.248 max(relative change in state) = 0.33319E-02
n_iter = 7 J = 39.235 max(relative change in state) = 0.79662E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 450 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 451 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 451 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 115.73 max(relative change in state) = -
n_iter = 2 J = 99.262 max(relative change in state) = 1.1708
n_iter = 3 J = 92.826 max(relative change in state) = 1.5173
n_iter = 4 J = 92.491 max(relative change in state) = 0.51965
n_iter = 5 J = 92.839 max(relative change in state) = 0.60201
n_iter = 6 J = 92.393 max(relative change in state) = 0.35070
n_iter = 7 J = 92.387 max(relative change in state) = 0.14340E-01
n_iter = 8 J = 92.362 max(relative change in state) = 0.73457E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 451 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 452 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 452 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 452 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 453 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 453 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 69.362 max(relative change in state) = -
n_iter = 2 J = 58.235 max(relative change in state) = 1.0741
n_iter = 3 J = 50.707 max(relative change in state) = 1.8360
n_iter = 4 J = 54.114 max(relative change in state) = 0.72670
n_iter = 5 J = 50.655 max(relative change in state) = 0.65923
n_iter = 6 J = 50.639 max(relative change in state) = 0.12547E-01
n_iter = 7 J = 50.582 max(relative change in state) = 0.13170
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 453 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 454 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 454 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 142.47 max(relative change in state) = -
n_iter = 2 J = 119.05 max(relative change in state) = 1.9637
n_iter = 3 J = 114.67 max(relative change in state) = 1.3825
n_iter = 4 J = 119.71 max(relative change in state) = 1.4614
n_iter = 5 J = 114.51 max(relative change in state) = 1.2840
n_iter = 6 J = 114.45 max(relative change in state) = 0.32416E-01
n_iter = 7 J = 114.29 max(relative change in state) = 0.31545
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 454 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 455 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 455 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 455 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 456 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 456 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 125.40 max(relative change in state) = -
n_iter = 2 J = 108.29 max(relative change in state) = 1.8876
n_iter = 3 J = 104.35 max(relative change in state) = 1.8755
n_iter = 4 J = 117.70 max(relative change in state) = 2.9544
n_iter = 5 J = 104.24 max(relative change in state) = 2.6954
n_iter = 6 J = 104.23 max(relative change in state) = 0.12521E-01
n_iter = 7 J = 104.26 max(relative change in state) = 0.26297
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 456 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 457 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 457 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.185 max(relative change in state) = -
n_iter = 2 J = 14.975 max(relative change in state) = 0.46885
n_iter = 3 J = 13.751 max(relative change in state) = 0.58996
n_iter = 4 J = 14.197 max(relative change in state) = 0.48121
n_iter = 5 J = 13.712 max(relative change in state) = 0.40092
n_iter = 6 J = 13.700 max(relative change in state) = 0.16096E-01
n_iter = 7 J = 13.678 max(relative change in state) = 0.93936E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 457 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 458 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 458 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 65.592 max(relative change in state) = -
n_iter = 2 J = 56.191 max(relative change in state) = 0.43341
n_iter = 3 J = 35.224 max(relative change in state) = 2.4545
n_iter = 4 J = 33.575 max(relative change in state) = 0.45188
n_iter = 5 J = 37.775 max(relative change in state) = 1.4808
n_iter = 6 J = 32.432 max(relative change in state) = 1.2437
n_iter = 7 J = 31.668 max(relative change in state) = 0.15258
n_iter = 8 J = 31.872 max(relative change in state) = 0.43105
n_iter = 9 J = 31.325 max(relative change in state) = 0.40424
n_iter = 10 J = 30.833 max(relative change in state) = 0.21865
n_iter = 11 J = 30.813 max(relative change in state) = 0.24693
n_iter = 12 J = 30.667 max(relative change in state) = 0.16470
n_iter = 13 J = 30.313 max(relative change in state) = 0.11004
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 458 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 459 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 459 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.464 max(relative change in state) = -
n_iter = 2 J = 79.661 max(relative change in state) = 1.4205
n_iter = 3 J = 74.179 max(relative change in state) = 1.1145
n_iter = 4 J = 75.110 max(relative change in state) = 0.86274
n_iter = 5 J = 73.901 max(relative change in state) = 0.62849
n_iter = 6 J = 73.849 max(relative change in state) = 0.65696E-01
n_iter = 7 J = 73.746 max(relative change in state) = 0.19933
n_iter = 8 J = 73.696 max(relative change in state) = 0.95784E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 459 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 460 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 460 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 95.990 max(relative change in state) = -
n_iter = 2 J = 89.418 max(relative change in state) = 0.91694
n_iter = 3 J = 84.473 max(relative change in state) = 0.29356
n_iter = 4 J = 78.747 max(relative change in state) = 0.62016
n_iter = 5 J = 75.512 max(relative change in state) = 0.71476
n_iter = 6 J = 74.772 max(relative change in state) = 0.62607
n_iter = 7 J = 74.069 max(relative change in state) = 0.17097
n_iter = 8 J = 73.981 max(relative change in state) = 0.96563E-01
n_iter = 9 J = 73.932 max(relative change in state) = 0.37322E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 460 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 461 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 461 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 919.07 max(relative change in state) = -
n_iter = 2 J = 3297.5 max(relative change in state) = 47.046
n_iter = 3 J = 760.97 max(relative change in state) = 35.738
n_iter = 4 J = 762.42 max(relative change in state) = 1.9278
n_iter = 5 J = 759.39 max(relative change in state) = 1.3596
n_iter = 6 J = 759.24 max(relative change in state) = 0.28767
n_iter = 7 J = 759.19 max(relative change in state) = 0.14504
n_iter = 8 J = 759.16 max(relative change in state) = 0.25097E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 461 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 462 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 462 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 14.172 max(relative change in state) = -
n_iter = 2 J = 11.895 max(relative change in state) = 0.44398
n_iter = 3 J = 10.387 max(relative change in state) = 0.57541
n_iter = 4 J = 10.784 max(relative change in state) = 0.42114
n_iter = 5 J = 10.363 max(relative change in state) = 0.35159
n_iter = 6 J = 10.356 max(relative change in state) = 0.11549E-01
n_iter = 7 J = 10.318 max(relative change in state) = 0.15999
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 462 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 463 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 463 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 161.90 max(relative change in state) = -
n_iter = 2 J = 125.87 max(relative change in state) = 4.6506
n_iter = 3 J = 123.30 max(relative change in state) = 0.61058
n_iter = 4 J = 123.59 max(relative change in state) = 0.98183
n_iter = 5 J = 122.25 max(relative change in state) = 0.70722
n_iter = 6 J = 122.19 max(relative change in state) = 0.15744
n_iter = 7 J = 122.18 max(relative change in state) = 0.68872E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 463 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 464 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 464 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 6 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 484.69 max(relative change in state) = -
n_iter = 2 J = 1372.8 max(relative change in state) = 27.534
n_iter = 3 J = 399.42 max(relative change in state) = 19.592
n_iter = 4 J = 468.55 max(relative change in state) = 6.9690
n_iter = 5 J = 399.07 max(relative change in state) = 6.4536
n_iter = 6 J = 399.05 max(relative change in state) = 0.13914E-01
n_iter = 7 J = 398.86 max(relative change in state) = 0.29271
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 464 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 465 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 465 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 31.950 max(relative change in state) = -
n_iter = 2 J = 26.456 max(relative change in state) = 0.52518
n_iter = 3 J = 20.156 max(relative change in state) = 1.1896
n_iter = 4 J = 25.320 max(relative change in state) = 1.9132
n_iter = 5 J = 20.115 max(relative change in state) = 1.7199
n_iter = 6 J = 20.109 max(relative change in state) = 0.16153E-01
n_iter = 7 J = 20.071 max(relative change in state) = 0.89291E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 465 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 466 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 466 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 22.939 max(relative change in state) = -
n_iter = 2 J = 19.382 max(relative change in state) = 0.59243
n_iter = 3 J = 17.429 max(relative change in state) = 0.63529
n_iter = 4 J = 17.296 max(relative change in state) = 0.21849
n_iter = 5 J = 17.807 max(relative change in state) = 0.39864
n_iter = 6 J = 17.281 max(relative change in state) = 0.33847
n_iter = 7 J = 17.279 max(relative change in state) = 0.82380E-02
n_iter = 8 J = 17.273 max(relative change in state) = 0.62137E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 466 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 467 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 467 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 80.253 max(relative change in state) = -
n_iter = 2 J = 71.781 max(relative change in state) = 1.8450
n_iter = 3 J = 71.381 max(relative change in state) = 0.63725
n_iter = 4 J = 71.639 max(relative change in state) = 0.72625
n_iter = 5 J = 71.179 max(relative change in state) = 0.36923
n_iter = 6 J = 71.173 max(relative change in state) = 0.17561E-01
n_iter = 7 J = 71.153 max(relative change in state) = 0.10913
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 467 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 468 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 468 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 68.592 max(relative change in state) = -
n_iter = 2 J = 62.146 max(relative change in state) = 0.50697
n_iter = 3 J = 52.733 max(relative change in state) = 1.2211
n_iter = 4 J = 58.182 max(relative change in state) = 1.9643
n_iter = 5 J = 51.467 max(relative change in state) = 1.6339
n_iter = 6 J = 50.716 max(relative change in state) = 0.18655
n_iter = 7 J = 50.630 max(relative change in state) = 0.22297
n_iter = 8 J = 49.564 max(relative change in state) = 0.21047
n_iter = 9 J = 48.935 max(relative change in state) = 0.33111
n_iter = 10 J = 48.591 max(relative change in state) = 0.26173
n_iter = 11 J = 48.430 max(relative change in state) = 0.46156E-01
n_iter = 12 J = 48.133 max(relative change in state) = 0.11404
n_iter = 13 J = 47.818 max(relative change in state) = 0.19940
n_iter = 14 J = 47.739 max(relative change in state) = 0.21606
n_iter = 15 J = 47.667 max(relative change in state) = 0.24515E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 468 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 469 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 469 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 234.72 max(relative change in state) = -
n_iter = 2 J = 405.57 max(relative change in state) = 12.454
n_iter = 3 J = 199.84 max(relative change in state) = 9.5260
n_iter = 4 J = 199.74 max(relative change in state) = 0.40718
n_iter = 5 J = 199.57 max(relative change in state) = 0.25881
n_iter = 6 J = 199.54 max(relative change in state) = 0.11009
n_iter = 7 J = 199.52 max(relative change in state) = 0.42634E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 469 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 470 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 470 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 38.755 max(relative change in state) = -
n_iter = 2 J = 32.914 max(relative change in state) = 0.76462
n_iter = 3 J = 30.055 max(relative change in state) = 1.0452
n_iter = 4 J = 35.626 max(relative change in state) = 1.4838
n_iter = 5 J = 30.025 max(relative change in state) = 1.3883
n_iter = 6 J = 30.014 max(relative change in state) = 0.11583E-01
n_iter = 7 J = 30.032 max(relative change in state) = 0.27683
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 470 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 471 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 471 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 40.507 max(relative change in state) = -
n_iter = 2 J = 34.293 max(relative change in state) = 0.95972
n_iter = 3 J = 31.327 max(relative change in state) = 0.91883
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 471 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 472 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 472 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.926 max(relative change in state) = -
n_iter = 2 J = 42.494 max(relative change in state) = 1.0081
n_iter = 3 J = 40.994 max(relative change in state) = 0.83703
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 472 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 473 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 473 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 851.59 max(relative change in state) = -
n_iter = 2 J = 8936.5 max(relative change in state) = 72.939
n_iter = 3 J = 792.38 max(relative change in state) = 67.421
n_iter = 4 J = 795.11 max(relative change in state) = 1.7119
n_iter = 5 J = 791.31 max(relative change in state) = 1.2011
n_iter = 6 J = 791.05 max(relative change in state) = 0.14989
n_iter = 7 J = 790.46 max(relative change in state) = 0.45853
n_iter = 8 J = 790.03 max(relative change in state) = 0.21414
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 473 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 474 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 474 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 166.20 max(relative change in state) = -
n_iter = 2 J = 130.50 max(relative change in state) = 4.2191
n_iter = 3 J = 127.14 max(relative change in state) = 1.2128
n_iter = 4 J = 136.74 max(relative change in state) = 2.2755
n_iter = 5 J = 126.98 max(relative change in state) = 1.9741
n_iter = 6 J = 126.98 max(relative change in state) = 0.13432E-01
n_iter = 7 J = 126.95 max(relative change in state) = 0.61418E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 474 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 475 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 475 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 118.99 max(relative change in state) = -
n_iter = 2 J = 108.10 max(relative change in state) = 1.8619
n_iter = 3 J = 106.53 max(relative change in state) = 0.52670
n_iter = 4 J = 107.58 max(relative change in state) = 0.38750
n_iter = 5 J = 106.50 max(relative change in state) = 0.34628
n_iter = 6 J = 106.49 max(relative change in state) = 0.92622E-02
n_iter = 7 J = 106.45 max(relative change in state) = 0.15203
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 475 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 476 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 476 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 44.860 max(relative change in state) = -
n_iter = 2 J = 39.052 max(relative change in state) = 0.87339
n_iter = 3 J = 37.280 max(relative change in state) = 0.87015
n_iter = 4 J = 40.706 max(relative change in state) = 1.3302
n_iter = 5 J = 37.214 max(relative change in state) = 1.2459
n_iter = 6 J = 37.193 max(relative change in state) = 0.14932E-01
n_iter = 7 J = 37.182 max(relative change in state) = 0.91774E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 476 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 477 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 477 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 187.77 max(relative change in state) = -
n_iter = 2 J = 314.76 max(relative change in state) = 9.7326
n_iter = 3 J = 169.15 max(relative change in state) = 7.5872
n_iter = 4 J = 169.57 max(relative change in state) = 0.69698
n_iter = 5 J = 168.95 max(relative change in state) = 0.49993
n_iter = 6 J = 168.93 max(relative change in state) = 0.72044E-01
n_iter = 7 J = 168.90 max(relative change in state) = 0.10453
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 477 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 478 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 478 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 54.958 max(relative change in state) = -
n_iter = 2 J = 49.647 max(relative change in state) = 0.74239
n_iter = 3 J = 44.069 max(relative change in state) = 1.7576
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 478 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 479 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 479 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 90.429 max(relative change in state) = -
n_iter = 2 J = 78.849 max(relative change in state) = 0.97763
n_iter = 3 J = 74.296 max(relative change in state) = 1.0605
n_iter = 4 J = 73.900 max(relative change in state) = 0.39949
n_iter = 5 J = 74.056 max(relative change in state) = 0.39447
n_iter = 6 J = 73.655 max(relative change in state) = 0.21520
n_iter = 7 J = 73.612 max(relative change in state) = 0.30975E-01
n_iter = 8 J = 73.522 max(relative change in state) = 0.73494E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 479 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 480 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 480 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 170.29 max(relative change in state) = -
n_iter = 2 J = 151.81 max(relative change in state) = 4.4963
n_iter = 3 J = 134.34 max(relative change in state) = 2.1044
n_iter = 4 J = 139.93 max(relative change in state) = 1.8524
n_iter = 5 J = 134.12 max(relative change in state) = 1.5611
n_iter = 6 J = 134.07 max(relative change in state) = 0.25745E-01
n_iter = 7 J = 133.87 max(relative change in state) = 0.34494
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 480 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 481 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 481 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 111.87 max(relative change in state) = -
n_iter = 2 J = 103.48 max(relative change in state) = 1.2094
n_iter = 3 J = 101.82 max(relative change in state) = 0.55985
n_iter = 4 J = 107.52 max(relative change in state) = 1.8313
n_iter = 5 J = 101.60 max(relative change in state) = 1.6051
n_iter = 6 J = 101.52 max(relative change in state) = 0.31010E-01
n_iter = 7 J = 101.46 max(relative change in state) = 0.22815
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 481 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 482 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 482 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 691.95 max(relative change in state) = -
n_iter = 2 J = 1874.7 max(relative change in state) = 33.026
n_iter = 3 J = 544.25 max(relative change in state) = 22.523
n_iter = 4 J = 543.59 max(relative change in state) = 0.48170
n_iter = 5 J = 543.56 max(relative change in state) = 0.20066
n_iter = 6 J = 543.26 max(relative change in state) = 0.13801
n_iter = 7 J = 543.24 max(relative change in state) = 0.30687E-01
n_iter = 8 J = 543.22 max(relative change in state) = 0.16220
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 482 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 483 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 483 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.942 max(relative change in state) = -
n_iter = 2 J = 23.469 max(relative change in state) = 0.46540
n_iter = 3 J = 20.400 max(relative change in state) = 0.67701
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 483 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 484 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 484 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 24.393 max(relative change in state) = -
n_iter = 2 J = 22.805 max(relative change in state) = 0.11471
n_iter = 3 J = 19.853 max(relative change in state) = 0.29808
n_iter = 4 J = 16.588 max(relative change in state) = 0.70845
n_iter = 5 J = 16.471 max(relative change in state) = 0.13155
n_iter = 6 J = 16.252 max(relative change in state) = 0.12575
n_iter = 7 J = 15.988 max(relative change in state) = 0.48904E-01
n_iter = 8 J = 15.885 max(relative change in state) = 0.81843E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 484 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 485 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 485 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 183.85 max(relative change in state) = -
n_iter = 2 J = 154.84 max(relative change in state) = 3.4032
n_iter = 3 J = 150.25 max(relative change in state) = 0.83538
n_iter = 4 J = 160.10 max(relative change in state) = 2.3610
n_iter = 5 J = 149.04 max(relative change in state) = 1.8860
n_iter = 6 J = 148.61 max(relative change in state) = 0.59612E-01
n_iter = 7 J = 147.45 max(relative change in state) = 0.53536
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 485 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 486 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 486 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 304.31 max(relative change in state) = -
n_iter = 2 J = 324.99 max(relative change in state) = 12.327
n_iter = 3 J = 215.28 max(relative change in state) = 6.9787
n_iter = 4 J = 222.99 max(relative change in state) = 2.2145
n_iter = 5 J = 215.48 max(relative change in state) = 1.7430
n_iter = 6 J = 215.25 max(relative change in state) = 0.24437
n_iter = 7 J = 215.21 max(relative change in state) = 0.61631E-01
n_iter = 8 J = 215.12 max(relative change in state) = 0.13594
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 486 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 487 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 487 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 38.882 max(relative change in state) = -
n_iter = 2 J = 32.893 max(relative change in state) = 0.84743
n_iter = 3 J = 29.916 max(relative change in state) = 1.1826
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 487 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 488 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 488 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 46.168 max(relative change in state) = -
n_iter = 2 J = 38.950 max(relative change in state) = 0.52017
n_iter = 3 J = 31.491 max(relative change in state) = 1.4021
n_iter = 4 J = 31.055 max(relative change in state) = 0.25384
n_iter = 5 J = 31.348 max(relative change in state) = 0.30272
n_iter = 6 J = 30.898 max(relative change in state) = 0.18929
n_iter = 7 J = 30.856 max(relative change in state) = 0.20769E-01
n_iter = 8 J = 30.837 max(relative change in state) = 0.18823
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 488 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 489 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 489 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 291.58 max(relative change in state) = -
n_iter = 2 J = 358.52 max(relative change in state) = 14.953
n_iter = 3 J = 239.63 max(relative change in state) = 8.2221
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 489 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 490 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 490 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 490 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 491 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 491 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 180.92 max(relative change in state) = -
n_iter = 2 J = 191.42 max(relative change in state) = 5.9195
n_iter = 3 J = 160.97 max(relative change in state) = 3.7946
n_iter = 4 J = 178.40 max(relative change in state) = 3.1331
n_iter = 5 J = 161.00 max(relative change in state) = 2.4710
n_iter = 6 J = 160.26 max(relative change in state) = 0.39934
n_iter = 7 J = 159.91 max(relative change in state) = 0.13875
n_iter = 8 J = 159.76 max(relative change in state) = 0.10084
n_iter = 9 J = 159.49 max(relative change in state) = 0.10252
n_iter = 10 J = 159.07 max(relative change in state) = 0.22669
n_iter = 11 J = 159.00 max(relative change in state) = 0.38916
n_iter = 12 J = 158.85 max(relative change in state) = 0.20063
n_iter = 13 J = 158.78 max(relative change in state) = 0.14647
n_iter = 14 J = 158.74 max(relative change in state) = 0.46369E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 491 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 492 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 492 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 121.11 max(relative change in state) = -
n_iter = 2 J = 102.74 max(relative change in state) = 1.5291
n_iter = 3 J = 94.283 max(relative change in state) = 1.6766
n_iter = 4 J = 94.668 max(relative change in state) = 0.73476
n_iter = 5 J = 94.207 max(relative change in state) = 0.58459
n_iter = 6 J = 94.191 max(relative change in state) = 0.42236E-01
n_iter = 7 J = 94.173 max(relative change in state) = 0.10796
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 492 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 493 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 493 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 428.54 max(relative change in state) = -
n_iter = 2 J = 626.32 max(relative change in state) = 15.712
n_iter = 3 J = 354.02 max(relative change in state) = 11.795
n_iter = 4 J = 344.24 max(relative change in state) = 1.7945
n_iter = 5 J = 375.30 max(relative change in state) = 3.2237
n_iter = 6 J = 341.97 max(relative change in state) = 2.6907
n_iter = 7 J = 341.30 max(relative change in state) = 0.11920
n_iter = 8 J = 340.15 max(relative change in state) = 0.60401
n_iter = 9 J = 339.37 max(relative change in state) = 0.42481
n_iter = 10 J = 338.75 max(relative change in state) = 0.33973
n_iter = 11 J = 337.97 max(relative change in state) = 0.56235
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 493 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 494 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 494 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 199.39 max(relative change in state) = -
n_iter = 2 J = 447.12 max(relative change in state) = 11.380
n_iter = 3 J = 182.65 max(relative change in state) = 8.3128
n_iter = 4 J = 182.58 max(relative change in state) = 0.15117
n_iter = 5 J = 182.84 max(relative change in state) = 0.16901
n_iter = 6 J = 182.57 max(relative change in state) = 0.13273
n_iter = 7 J = 182.57 max(relative change in state) = 0.50534E-02
n_iter = 8 J = 182.56 max(relative change in state) = 0.36255E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 494 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 495 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 495 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 365.10 max(relative change in state) = -
n_iter = 2 J = 1054.7 max(relative change in state) = 21.011
n_iter = 3 J = 309.02 max(relative change in state) = 17.374
n_iter = 4 J = 317.70 max(relative change in state) = 2.5695
n_iter = 5 J = 308.72 max(relative change in state) = 2.2322
n_iter = 6 J = 308.62 max(relative change in state) = 0.32915E-01
n_iter = 7 J = 308.57 max(relative change in state) = 0.45150
n_iter = 8 J = 308.15 max(relative change in state) = 0.31059
n_iter = 9 J = 308.10 max(relative change in state) = 0.38575E-01
n_iter = 10 J = 308.06 max(relative change in state) = 0.30558E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 495 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 496 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 496 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 45.056 max(relative change in state) = -
n_iter = 2 J = 37.652 max(relative change in state) = 0.80649
n_iter = 3 J = 31.761 max(relative change in state) = 1.5287
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 496 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 497 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 497 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 30.749 max(relative change in state) = -
n_iter = 2 J = 25.792 max(relative change in state) = 0.64694
n_iter = 3 J = 22.311 max(relative change in state) = 1.0841
n_iter = 4 J = 24.171 max(relative change in state) = 1.1697
n_iter = 5 J = 22.288 max(relative change in state) = 1.0620
n_iter = 6 J = 22.282 max(relative change in state) = 0.66745E-02
n_iter = 7 J = 22.261 max(relative change in state) = 0.10209
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 497 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 498 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 498 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 24.336 max(relative change in state) = -
n_iter = 2 J = 21.016 max(relative change in state) = 0.70751
n_iter = 3 J = 19.680 max(relative change in state) = 0.79714
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 498 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 499 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 499 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.075 max(relative change in state) = -
n_iter = 2 J = 43.092 max(relative change in state) = 0.97604
n_iter = 3 J = 41.191 max(relative change in state) = 0.78882
n_iter = 4 J = 41.317 max(relative change in state) = 0.44455
n_iter = 5 J = 40.824 max(relative change in state) = 0.34428
n_iter = 6 J = 40.787 max(relative change in state) = 0.68686E-01
n_iter = 7 J = 40.736 max(relative change in state) = 0.80122E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 499 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 500 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 500 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 205.33 max(relative change in state) = -
n_iter = 2 J = 383.21 max(relative change in state) = 14.421
n_iter = 3 J = 184.33 max(relative change in state) = 10.094
n_iter = 4 J = 189.18 max(relative change in state) = 1.5666
n_iter = 5 J = 184.26 max(relative change in state) = 1.4083
n_iter = 6 J = 184.24 max(relative change in state) = 0.15954E-01
n_iter = 7 J = 184.18 max(relative change in state) = 0.24784
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 500 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 501 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 501 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.601 max(relative change in state) = -
n_iter = 2 J = 36.356 max(relative change in state) = 0.31884
n_iter = 3 J = 27.541 max(relative change in state) = 0.97871
n_iter = 4 J = 25.477 max(relative change in state) = 0.64030
n_iter = 5 J = 24.563 max(relative change in state) = 0.29971
n_iter = 6 J = 24.464 max(relative change in state) = 0.61467E-01
n_iter = 7 J = 24.347 max(relative change in state) = 0.56361E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 501 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 502 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 502 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 502 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 503 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 503 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 247.85 max(relative change in state) = -
n_iter = 2 J = 275.64 max(relative change in state) = 9.5112
n_iter = 3 J = 202.56 max(relative change in state) = 5.4257
n_iter = 4 J = 200.51 max(relative change in state) = 0.47679
n_iter = 5 J = 200.79 max(relative change in state) = 1.6790
n_iter = 6 J = 198.54 max(relative change in state) = 0.36779
n_iter = 7 J = 198.47 max(relative change in state) = 0.51920E-01
n_iter = 8 J = 198.24 max(relative change in state) = 0.25135
n_iter = 9 J = 198.21 max(relative change in state) = 0.18922
n_iter = 10 J = 198.16 max(relative change in state) = 0.97100E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 503 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 504 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 504 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 219.03 max(relative change in state) = -
n_iter = 2 J = 512.70 max(relative change in state) = 13.408
n_iter = 3 J = 197.88 max(relative change in state) = 11.056
n_iter = 4 J = 198.03 max(relative change in state) = 0.60302
n_iter = 5 J = 197.78 max(relative change in state) = 0.43629
n_iter = 6 J = 197.77 max(relative change in state) = 0.47015E-01
n_iter = 7 J = 197.75 max(relative change in state) = 0.10289
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 504 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 505 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 505 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 753.90 max(relative change in state) = -
n_iter = 2 J = 868.75 max(relative change in state) = 21.551
n_iter = 3 J = 460.47 max(relative change in state) = 11.137
n_iter = 4 J = 459.69 max(relative change in state) = 0.53650
n_iter = 5 J = 458.96 max(relative change in state) = 0.30499
n_iter = 6 J = 458.92 max(relative change in state) = 0.94628E-01
n_iter = 7 J = 458.88 max(relative change in state) = 0.83241E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 505 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 506 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 506 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 26.925 max(relative change in state) = -
n_iter = 2 J = 22.727 max(relative change in state) = 0.66395
n_iter = 3 J = 19.840 max(relative change in state) = 1.0483
n_iter = 4 J = 20.401 max(relative change in state) = 0.74286
n_iter = 5 J = 19.508 max(relative change in state) = 0.50002
n_iter = 6 J = 19.457 max(relative change in state) = 0.10316
n_iter = 7 J = 19.399 max(relative change in state) = 0.11741
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 506 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 507 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 507 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 123.19 max(relative change in state) = -
n_iter = 2 J = 106.41 max(relative change in state) = 0.72750
n_iter = 3 J = 102.08 max(relative change in state) = 0.44077
n_iter = 4 J = 99.513 max(relative change in state) = 0.29602
n_iter = 5 J = 93.300 max(relative change in state) = 1.5830
n_iter = 6 J = 91.827 max(relative change in state) = 0.60351
n_iter = 7 J = 91.366 max(relative change in state) = 0.19662
n_iter = 8 J = 91.298 max(relative change in state) = 0.83583E-01
n_iter = 9 J = 91.224 max(relative change in state) = 0.53592E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 507 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 508 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 508 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 47.937 max(relative change in state) = -
n_iter = 2 J = 39.972 max(relative change in state) = 0.72238
n_iter = 3 J = 33.006 max(relative change in state) = 1.3604
n_iter = 4 J = 35.201 max(relative change in state) = 1.1266
n_iter = 5 J = 32.985 max(relative change in state) = 1.0271
n_iter = 6 J = 32.980 max(relative change in state) = 0.85596E-02
n_iter = 7 J = 32.966 max(relative change in state) = 0.22774
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 508 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 509 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 509 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.628 max(relative change in state) = -
n_iter = 2 J = 21.660 max(relative change in state) = 0.29984
n_iter = 3 J = 15.572 max(relative change in state) = 1.1127
n_iter = 4 J = 15.793 max(relative change in state) = 0.49733
n_iter = 5 J = 15.341 max(relative change in state) = 0.34227
n_iter = 6 J = 15.295 max(relative change in state) = 0.84112E-01
n_iter = 7 J = 15.280 max(relative change in state) = 0.13818
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 509 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 510 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 510 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 101.69 max(relative change in state) = -
n_iter = 2 J = 92.573 max(relative change in state) = 2.4567
n_iter = 3 J = 92.040 max(relative change in state) = 0.55802
n_iter = 4 J = 92.340 max(relative change in state) = 0.37947
n_iter = 5 J = 92.035 max(relative change in state) = 0.33077
n_iter = 6 J = 92.033 max(relative change in state) = 0.45148E-02
n_iter = 7 J = 92.026 max(relative change in state) = 0.71244E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 510 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 511 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 511 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 72.827 max(relative change in state) = -
n_iter = 2 J = 65.005 max(relative change in state) = 1.4235
n_iter = 3 J = 64.044 max(relative change in state) = 0.90257
n_iter = 4 J = 63.772 max(relative change in state) = 0.34529
n_iter = 5 J = 63.578 max(relative change in state) = 0.22528
n_iter = 6 J = 63.552 max(relative change in state) = 0.31609E-01
n_iter = 7 J = 63.536 max(relative change in state) = 0.39663E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 511 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 512 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 512 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 52.043 max(relative change in state) = -
n_iter = 2 J = 45.517 max(relative change in state) = 0.93284
n_iter = 3 J = 44.666 max(relative change in state) = 0.67486
n_iter = 4 J = 48.234 max(relative change in state) = 1.3672
n_iter = 5 J = 44.682 max(relative change in state) = 1.0135
n_iter = 6 J = 44.616 max(relative change in state) = 0.13357
n_iter = 7 J = 44.611 max(relative change in state) = 0.10927E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 512 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 513 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 513 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 17.784 max(relative change in state) = -
n_iter = 2 J = 15.095 max(relative change in state) = 0.46392
n_iter = 3 J = 13.810 max(relative change in state) = 0.50344
n_iter = 4 J = 15.374 max(relative change in state) = 0.93481
n_iter = 5 J = 13.801 max(relative change in state) = 0.87148
n_iter = 6 J = 13.799 max(relative change in state) = 0.41119E-02
n_iter = 7 J = 13.805 max(relative change in state) = 0.12723
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 513 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 514 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 514 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 123.73 max(relative change in state) = -
n_iter = 2 J = 110.91 max(relative change in state) = 2.0850
n_iter = 3 J = 108.87 max(relative change in state) = 0.72310
n_iter = 4 J = 112.48 max(relative change in state) = 1.6927
n_iter = 5 J = 108.51 max(relative change in state) = 1.4641
n_iter = 6 J = 108.37 max(relative change in state) = 0.77501E-01
n_iter = 7 J = 108.23 max(relative change in state) = 0.14381
n_iter = 8 J = 108.28 max(relative change in state) = 0.10166
n_iter = 9 J = 108.13 max(relative change in state) = 0.38472E-01
n_iter = 10 J = 108.08 max(relative change in state) = 0.38966E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 514 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 515 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 515 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 6 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 85.417 max(relative change in state) = -
n_iter = 2 J = 71.882 max(relative change in state) = 1.1084
n_iter = 3 J = 64.147 max(relative change in state) = 1.3078
n_iter = 4 J = 64.387 max(relative change in state) = 0.51872
n_iter = 5 J = 63.965 max(relative change in state) = 0.35891
n_iter = 6 J = 63.923 max(relative change in state) = 0.82655E-01
n_iter = 7 J = 63.809 max(relative change in state) = 0.14261
n_iter = 8 J = 63.799 max(relative change in state) = 0.74681E-01
n_iter = 9 J = 63.772 max(relative change in state) = 0.28625E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 515 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 516 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 516 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 286.33 max(relative change in state) = -
n_iter = 2 J = 446.76 max(relative change in state) = 13.430
n_iter = 3 J = 227.14 max(relative change in state) = 9.0116
n_iter = 4 J = 228.77 max(relative change in state) = 1.0845
n_iter = 5 J = 226.96 max(relative change in state) = 0.86522
n_iter = 6 J = 226.90 max(relative change in state) = 0.35448E-01
n_iter = 7 J = 226.62 max(relative change in state) = 0.25339
n_iter = 8 J = 226.69 max(relative change in state) = 0.30911
n_iter = 9 J = 226.58 max(relative change in state) = 0.17765
n_iter = 10 J = 226.58 max(relative change in state) = 0.31271E-01
n_iter = 11 J = 226.57 max(relative change in state) = 0.33200E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 516 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 517 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 517 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 80.153 max(relative change in state) = -
n_iter = 2 J = 66.265 max(relative change in state) = 0.99406
n_iter = 3 J = 48.843 max(relative change in state) = 2.7990
n_iter = 4 J = 63.728 max(relative change in state) = 2.7000
n_iter = 5 J = 48.718 max(relative change in state) = 2.4718
n_iter = 6 J = 48.688 max(relative change in state) = 0.16055E-01
n_iter = 7 J = 48.591 max(relative change in state) = 0.29266
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 517 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 518 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 518 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 49.981 max(relative change in state) = -
n_iter = 2 J = 42.944 max(relative change in state) = 0.76165
n_iter = 3 J = 38.439 max(relative change in state) = 1.2277
n_iter = 4 J = 38.397 max(relative change in state) = 0.13496
n_iter = 5 J = 38.264 max(relative change in state) = 0.62230E-01
n_iter = 6 J = 38.174 max(relative change in state) = 0.81905E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 518 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 519 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 519 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 37.750 max(relative change in state) = -
n_iter = 2 J = 32.267 max(relative change in state) = 0.57474
n_iter = 3 J = 30.074 max(relative change in state) = 0.82503
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 519 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 520 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 520 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 152.25 max(relative change in state) = -
n_iter = 2 J = 124.96 max(relative change in state) = 3.2126
n_iter = 3 J = 121.30 max(relative change in state) = 0.78805
n_iter = 4 J = 130.39 max(relative change in state) = 2.2983
n_iter = 5 J = 121.17 max(relative change in state) = 2.0367
n_iter = 6 J = 121.16 max(relative change in state) = 0.81684E-02
n_iter = 7 J = 121.09 max(relative change in state) = 0.12842
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 520 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 521 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 521 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 36.735 max(relative change in state) = -
n_iter = 2 J = 31.543 max(relative change in state) = 0.43024
n_iter = 3 J = 25.155 max(relative change in state) = 1.2152
n_iter = 4 J = 26.902 max(relative change in state) = 0.98378
n_iter = 5 J = 24.867 max(relative change in state) = 0.80154
n_iter = 6 J = 24.720 max(relative change in state) = 0.53829E-01
n_iter = 7 J = 24.414 max(relative change in state) = 0.20100
n_iter = 8 J = 24.306 max(relative change in state) = 0.35210
n_iter = 9 J = 24.123 max(relative change in state) = 0.17587
n_iter = 10 J = 24.062 max(relative change in state) = 0.16661
n_iter = 11 J = 23.994 max(relative change in state) = 0.91714E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 521 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 522 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 522 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 151.18 max(relative change in state) = -
n_iter = 2 J = 130.70 max(relative change in state) = 2.3219
n_iter = 3 J = 126.10 max(relative change in state) = 0.80197
n_iter = 4 J = 126.60 max(relative change in state) = 0.69195
n_iter = 5 J = 125.67 max(relative change in state) = 0.45374
n_iter = 6 J = 125.62 max(relative change in state) = 0.95031E-01
n_iter = 7 J = 125.58 max(relative change in state) = 0.12846
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 522 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 523 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 523 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 64.367 max(relative change in state) = -
n_iter = 2 J = 62.753 max(relative change in state) = 0.11437
n_iter = 3 J = 46.433 max(relative change in state) = 1.4668
n_iter = 4 J = 46.206 max(relative change in state) = 0.14821
n_iter = 5 J = 46.853 max(relative change in state) = 1.1846
n_iter = 6 J = 45.223 max(relative change in state) = 0.88168
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 523 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 524 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 524 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 190.64 max(relative change in state) = -
n_iter = 2 J = 284.00 max(relative change in state) = 9.4729
n_iter = 3 J = 168.71 max(relative change in state) = 5.5683
n_iter = 4 J = 226.10 max(relative change in state) = 5.6004
n_iter = 5 J = 168.38 max(relative change in state) = 5.1499
n_iter = 6 J = 168.37 max(relative change in state) = 0.21385E-01
n_iter = 7 J = 168.32 max(relative change in state) = 0.11220
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 524 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 525 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 525 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 111.38 max(relative change in state) = -
n_iter = 2 J = 103.11 max(relative change in state) = 0.41996
n_iter = 3 J = 83.149 max(relative change in state) = 2.2560
n_iter = 4 J = 82.103 max(relative change in state) = 0.84303
n_iter = 5 J = 80.620 max(relative change in state) = 0.76071
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 6.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 525 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 526 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 526 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 132.55 max(relative change in state) = -
n_iter = 2 J = 118.91 max(relative change in state) = 1.9073
n_iter = 3 J = 116.97 max(relative change in state) = 0.95125
n_iter = 4 J = 118.47 max(relative change in state) = 0.91195
n_iter = 5 J = 116.92 max(relative change in state) = 0.79513
n_iter = 6 J = 116.89 max(relative change in state) = 0.16543E-01
n_iter = 7 J = 116.84 max(relative change in state) = 0.24390
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 526 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 527 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 527 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 49.839 max(relative change in state) = -
n_iter = 2 J = 47.694 max(relative change in state) = 0.11976
n_iter = 3 J = 31.958 max(relative change in state) = 1.5404
n_iter = 4 J = 31.209 max(relative change in state) = 0.10320
n_iter = 5 J = 31.902 max(relative change in state) = 1.1537
n_iter = 6 J = 29.059 max(relative change in state) = 1.0176
n_iter = 7 J = 29.767 max(relative change in state) = 0.49050
n_iter = 8 J = 28.567 max(relative change in state) = 0.24584
n_iter = 9 J = 28.188 max(relative change in state) = 0.50691E-01
n_iter = 10 J = 27.602 max(relative change in state) = 0.16071
n_iter = 11 J = 27.337 max(relative change in state) = 0.15873
n_iter = 12 J = 26.996 max(relative change in state) = 0.90566E-01
n_iter = 13 J = 26.874 max(relative change in state) = 0.10947
n_iter = 14 J = 26.847 max(relative change in state) = 0.76690E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 527 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 528 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 528 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 267.21 max(relative change in state) = -
n_iter = 2 J = 244.72 max(relative change in state) = 4.3170
n_iter = 3 J = 240.33 max(relative change in state) = 1.8337
n_iter = 4 J = 238.83 max(relative change in state) = 0.94198
n_iter = 5 J = 232.54 max(relative change in state) = 0.62699
n_iter = 6 J = 227.86 max(relative change in state) = 0.85339
n_iter = 7 J = 226.69 max(relative change in state) = 0.98459
n_iter = 8 J = 225.66 max(relative change in state) = 0.44595
n_iter = 9 J = 225.21 max(relative change in state) = 0.37354
n_iter = 10 J = 224.94 max(relative change in state) = 0.14632
n_iter = 11 J = 224.71 max(relative change in state) = 0.12027
n_iter = 12 J = 224.47 max(relative change in state) = 0.16791
n_iter = 13 J = 224.35 max(relative change in state) = 0.23385
n_iter = 14 J = 224.39 max(relative change in state) = 0.83827E-01
n_iter = 15 J = 224.29 max(relative change in state) = 0.41106E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 528 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 529 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 529 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 168.94 max(relative change in state) = -
n_iter = 2 J = 113.71 max(relative change in state) = 2.3875
n_iter = 3 J = 79.714 max(relative change in state) = 3.1708
n_iter = 4 J = 90.447 max(relative change in state) = 2.4006
n_iter = 5 J = 78.836 max(relative change in state) = 2.0207
n_iter = 6 J = 78.452 max(relative change in state) = 0.74888E-01
n_iter = 7 J = 77.466 max(relative change in state) = 0.41863
n_iter = 8 J = 78.259 max(relative change in state) = 0.38943
n_iter = 9 J = 76.922 max(relative change in state) = 0.27927
n_iter = 10 J = 76.837 max(relative change in state) = 0.25617E-01
n_iter = 11 J = 76.485 max(relative change in state) = 0.16554
n_iter = 12 J = 76.385 max(relative change in state) = 0.18654
n_iter = 13 J = 76.289 max(relative change in state) = 0.52249E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 529 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 530 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 530 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 49.938 max(relative change in state) = -
n_iter = 2 J = 42.114 max(relative change in state) = 1.0042
n_iter = 3 J = 37.936 max(relative change in state) = 1.3127
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 530 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 531 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 531 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 62.550 max(relative change in state) = -
n_iter = 2 J = 55.918 max(relative change in state) = 1.5168
n_iter = 3 J = 55.331 max(relative change in state) = 0.48736
n_iter = 4 J = 58.066 max(relative change in state) = 1.2943
n_iter = 5 J = 55.366 max(relative change in state) = 0.98466
n_iter = 6 J = 55.300 max(relative change in state) = 0.11848
n_iter = 7 J = 55.291 max(relative change in state) = 0.45276E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 531 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 532 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 532 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 532 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 533 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 533 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 54.087 max(relative change in state) = -
n_iter = 2 J = 44.868 max(relative change in state) = 0.62354
n_iter = 3 J = 34.661 max(relative change in state) = 1.6325
n_iter = 4 J = 35.146 max(relative change in state) = 0.70142
n_iter = 5 J = 34.595 max(relative change in state) = 0.55030
n_iter = 6 J = 34.579 max(relative change in state) = 0.33176E-01
n_iter = 7 J = 34.529 max(relative change in state) = 0.11933
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 533 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 534 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 534 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control removes 3 refractivity data points from the
observations as their deviation from the background exceeds 10.0
times the expected (1-sigma) error.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 350.69 max(relative change in state) = -
n_iter = 2 J = 309.30 max(relative change in state) = 6.1313
n_iter = 3 J = 293.77 max(relative change in state) = 3.0686
n_iter = 4 J = 295.75 max(relative change in state) = 2.6972
n_iter = 5 J = 279.95 max(relative change in state) = 1.6243
n_iter = 6 J = 272.94 max(relative change in state) = 1.0943
n_iter = 7 J = 266.48 max(relative change in state) = 1.0111
n_iter = 8 J = 260.30 max(relative change in state) = 1.3590
n_iter = 9 J = 257.64 max(relative change in state) = 0.64900
n_iter = 10 J = 255.05 max(relative change in state) = 0.47280
n_iter = 11 J = 253.84 max(relative change in state) = 0.32359
n_iter = 12 J = 252.62 max(relative change in state) = 0.23533
n_iter = 13 J = 252.89 max(relative change in state) = 0.65001
n_iter = 14 J = 251.44 max(relative change in state) = 0.13356
n_iter = 15 J = 251.32 max(relative change in state) = 0.15024
n_iter = 16 J = 251.18 max(relative change in state) = 0.20732
n_iter = 17 J = 251.02 max(relative change in state) = 0.91197E-01
n_iter = 18 J = 251.13 max(relative change in state) = 0.59795
n_iter = 19 J = 250.86 max(relative change in state) = 0.37702
n_iter = 20 J = 250.84 max(relative change in state) = 0.69663E-01
n_iter = 21 J = 250.83 max(relative change in state) = 0.43847E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 21.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 534 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 535 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 535 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 38.387 max(relative change in state) = -
n_iter = 2 J = 31.606 max(relative change in state) = 0.42912
n_iter = 3 J = 20.387 max(relative change in state) = 1.1592
n_iter = 4 J = 18.566 max(relative change in state) = 0.43305
n_iter = 5 J = 19.201 max(relative change in state) = 0.53507
n_iter = 6 J = 18.193 max(relative change in state) = 0.36424
n_iter = 7 J = 18.132 max(relative change in state) = 0.53445E-01
n_iter = 8 J = 18.029 max(relative change in state) = 0.13115
n_iter = 9 J = 17.931 max(relative change in state) = 0.71823E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 535 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 536 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 536 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 24.719 max(relative change in state) = -
n_iter = 2 J = 21.433 max(relative change in state) = 0.85900
n_iter = 3 J = 20.795 max(relative change in state) = 0.51803
n_iter = 4 J = 21.850 max(relative change in state) = 0.94132
n_iter = 5 J = 20.780 max(relative change in state) = 0.85084
n_iter = 6 J = 20.776 max(relative change in state) = 0.65349E-02
n_iter = 7 J = 20.766 max(relative change in state) = 0.10180
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 536 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 537 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 537 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 48.283 max(relative change in state) = -
n_iter = 2 J = 41.372 max(relative change in state) = 0.50642
n_iter = 3 J = 37.114 max(relative change in state) = 0.44983
n_iter = 4 J = 33.602 max(relative change in state) = 0.57932
n_iter = 5 J = 31.324 max(relative change in state) = 0.69703
n_iter = 6 J = 31.135 max(relative change in state) = 0.20861
n_iter = 7 J = 30.941 max(relative change in state) = 0.74609E-01
n_iter = 8 J = 30.878 max(relative change in state) = 0.63200E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 537 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 538 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 538 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 150.30 max(relative change in state) = -
n_iter = 2 J = 119.63 max(relative change in state) = 3.3019
n_iter = 3 J = 116.73 max(relative change in state) = 1.0654
n_iter = 4 J = 116.49 max(relative change in state) = 0.69041
n_iter = 5 J = 116.64 max(relative change in state) = 0.44519
n_iter = 6 J = 116.28 max(relative change in state) = 0.16664
n_iter = 7 J = 116.27 max(relative change in state) = 0.23927E-01
n_iter = 8 J = 116.24 max(relative change in state) = 0.80188E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 538 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 539 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 539 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 16.779 max(relative change in state) = -
n_iter = 2 J = 14.062 max(relative change in state) = 0.47664
n_iter = 3 J = 12.122 max(relative change in state) = 0.73675
n_iter = 4 J = 12.104 max(relative change in state) = 0.72588E-01
n_iter = 5 J = 12.096 max(relative change in state) = 0.69707E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 539 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 540 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 540 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 29.371 max(relative change in state) = -
n_iter = 2 J = 24.502 max(relative change in state) = 0.55921
n_iter = 3 J = 20.124 max(relative change in state) = 1.0550
n_iter = 4 J = 22.782 max(relative change in state) = 1.1069
n_iter = 5 J = 20.088 max(relative change in state) = 0.99129
n_iter = 6 J = 20.080 max(relative change in state) = 0.91152E-02
n_iter = 7 J = 20.019 max(relative change in state) = 0.23243
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 540 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 541 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 541 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 228.71 max(relative change in state) = -
n_iter = 2 J = 266.66 max(relative change in state) = 8.4650
n_iter = 3 J = 181.53 max(relative change in state) = 5.3974
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 541 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 542 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 542 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 79.675 max(relative change in state) = -
n_iter = 2 J = 66.346 max(relative change in state) = 0.36076
n_iter = 3 J = 50.707 max(relative change in state) = 0.78767
n_iter = 4 J = 45.557 max(relative change in state) = 0.43306
n_iter = 5 J = 42.568 max(relative change in state) = 0.41836
n_iter = 6 J = 41.118 max(relative change in state) = 0.24414
n_iter = 7 J = 40.285 max(relative change in state) = 0.20656
n_iter = 8 J = 39.388 max(relative change in state) = 0.40442
n_iter = 9 J = 39.516 max(relative change in state) = 0.42700
n_iter = 10 J = 38.840 max(relative change in state) = 0.15305
n_iter = 11 J = 38.763 max(relative change in state) = 0.34344E-01
n_iter = 12 J = 38.663 max(relative change in state) = 0.69043E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 542 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 543 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 543 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 73.199 max(relative change in state) = -
n_iter = 2 J = 63.907 max(relative change in state) = 1.4935
n_iter = 3 J = 62.522 max(relative change in state) = 1.0773
n_iter = 4 J = 68.399 max(relative change in state) = 1.9027
n_iter = 5 J = 62.494 max(relative change in state) = 1.7715
n_iter = 6 J = 62.491 max(relative change in state) = 0.45901E-02
n_iter = 7 J = 62.487 max(relative change in state) = 0.95319E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 543 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 544 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 544 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 88.668 max(relative change in state) = -
n_iter = 2 J = 77.370 max(relative change in state) = 1.5551
n_iter = 3 J = 75.611 max(relative change in state) = 1.2342
n_iter = 4 J = 77.231 max(relative change in state) = 1.0952
n_iter = 5 J = 75.598 max(relative change in state) = 1.0120
n_iter = 6 J = 75.595 max(relative change in state) = 0.66491E-02
n_iter = 7 J = 75.583 max(relative change in state) = 0.11939
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 544 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 545 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 545 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 47.009 max(relative change in state) = -
n_iter = 2 J = 40.010 max(relative change in state) = 0.65348
n_iter = 3 J = 33.846 max(relative change in state) = 1.2982
n_iter = 4 J = 33.123 max(relative change in state) = 0.38455
n_iter = 5 J = 33.536 max(relative change in state) = 0.43398
n_iter = 6 J = 32.929 max(relative change in state) = 0.23072
n_iter = 7 J = 32.908 max(relative change in state) = 0.14753E-01
n_iter = 8 J = 32.821 max(relative change in state) = 0.16611
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 545 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 546 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 546 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 213.54 max(relative change in state) = -
n_iter = 2 J = 328.33 max(relative change in state) = 12.473
n_iter = 3 J = 184.51 max(relative change in state) = 7.8108
n_iter = 4 J = 201.74 max(relative change in state) = 2.5279
n_iter = 5 J = 184.45 max(relative change in state) = 2.3699
n_iter = 6 J = 184.44 max(relative change in state) = 0.96871E-02
n_iter = 7 J = 184.38 max(relative change in state) = 0.11222
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 546 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 547 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 547 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 547 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 548 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 548 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 45.564 max(relative change in state) = -
n_iter = 2 J = 40.202 max(relative change in state) = 0.66997
n_iter = 3 J = 37.883 max(relative change in state) = 0.77705
n_iter = 4 J = 37.587 max(relative change in state) = 0.30049
n_iter = 5 J = 38.307 max(relative change in state) = 0.33412
n_iter = 6 J = 37.556 max(relative change in state) = 0.26417
n_iter = 7 J = 37.544 max(relative change in state) = 0.98070E-02
n_iter = 8 J = 37.599 max(relative change in state) = 0.12751
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 548 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 549 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 549 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 76.391 max(relative change in state) = -
n_iter = 2 J = 64.041 max(relative change in state) = 0.97342
n_iter = 3 J = 55.433 max(relative change in state) = 1.5558
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 549 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 550 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 550 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 232.45 max(relative change in state) = -
n_iter = 2 J = 377.21 max(relative change in state) = 14.684
n_iter = 3 J = 197.32 max(relative change in state) = 8.9716
n_iter = 4 J = 237.07 max(relative change in state) = 4.5708
n_iter = 5 J = 197.11 max(relative change in state) = 4.2203
n_iter = 6 J = 197.10 max(relative change in state) = 0.14656E-01
n_iter = 7 J = 196.99 max(relative change in state) = 0.13272
n_iter = 8 J = 197.08 max(relative change in state) = 0.36371
n_iter = 9 J = 196.96 max(relative change in state) = 0.24423
n_iter = 10 J = 196.96 max(relative change in state) = 0.17029E-01
n_iter = 11 J = 196.95 max(relative change in state) = 0.17386E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 550 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 551 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 551 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 40.023 max(relative change in state) = -
n_iter = 2 J = 34.224 max(relative change in state) = 0.60012
n_iter = 3 J = 31.139 max(relative change in state) = 0.98710
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 551 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 552 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 552 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 180.09 max(relative change in state) = -
n_iter = 2 J = 157.47 max(relative change in state) = 5.4242
n_iter = 3 J = 144.43 max(relative change in state) = 2.4725
n_iter = 4 J = 158.20 max(relative change in state) = 2.7682
n_iter = 5 J = 144.09 max(relative change in state) = 2.4702
n_iter = 6 J = 143.93 max(relative change in state) = 0.52653E-01
n_iter = 7 J = 144.49 max(relative change in state) = 0.47961
n_iter = 8 J = 143.38 max(relative change in state) = 0.25629
n_iter = 9 J = 143.28 max(relative change in state) = 0.33813E-01
n_iter = 10 J = 142.98 max(relative change in state) = 0.17024
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 552 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 553 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 553 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 45.057 max(relative change in state) = -
n_iter = 2 J = 38.041 max(relative change in state) = 0.48434
n_iter = 3 J = 29.114 max(relative change in state) = 1.4169
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 553 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 554 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 554 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 22.763 max(relative change in state) = -
n_iter = 2 J = 19.378 max(relative change in state) = 0.56268
n_iter = 3 J = 17.568 max(relative change in state) = 0.58482
n_iter = 4 J = 17.346 max(relative change in state) = 0.26140
n_iter = 5 J = 17.813 max(relative change in state) = 0.69009
n_iter = 6 J = 17.333 max(relative change in state) = 0.59876
n_iter = 7 J = 17.331 max(relative change in state) = 0.59868E-02
n_iter = 8 J = 17.321 max(relative change in state) = 0.38304E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 554 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 555 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 555 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 104.54 max(relative change in state) = -
n_iter = 2 J = 89.693 max(relative change in state) = 1.3697
n_iter = 3 J = 83.440 max(relative change in state) = 1.6959
n_iter = 4 J = 83.243 max(relative change in state) = 0.29466
n_iter = 5 J = 82.830 max(relative change in state) = 0.25572
n_iter = 6 J = 82.646 max(relative change in state) = 0.59501E-01
n_iter = 7 J = 82.426 max(relative change in state) = 0.15637
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 555 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 556 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 556 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 223.83 max(relative change in state) = -
n_iter = 2 J = 203.13 max(relative change in state) = 5.2324
n_iter = 3 J = 183.16 max(relative change in state) = 2.2054
n_iter = 4 J = 190.58 max(relative change in state) = 2.0501
n_iter = 5 J = 180.70 max(relative change in state) = 1.8717
n_iter = 6 J = 178.69 max(relative change in state) = 0.26587
n_iter = 7 J = 177.44 max(relative change in state) = 0.49003
n_iter = 8 J = 175.80 max(relative change in state) = 0.19621
n_iter = 9 J = 175.26 max(relative change in state) = 0.15658
n_iter = 10 J = 174.85 max(relative change in state) = 0.22708
n_iter = 11 J = 174.43 max(relative change in state) = 0.98721E-01
n_iter = 12 J = 173.68 max(relative change in state) = 0.31420
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 13.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 556 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 557 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 557 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 140.36 max(relative change in state) = -
n_iter = 2 J = 118.16 max(relative change in state) = 1.8933
n_iter = 3 J = 111.25 max(relative change in state) = 1.1993
n_iter = 4 J = 110.66 max(relative change in state) = 0.43823
n_iter = 5 J = 112.62 max(relative change in state) = 0.90734
n_iter = 6 J = 110.55 max(relative change in state) = 0.73836
n_iter = 7 J = 110.52 max(relative change in state) = 0.17218E-01
n_iter = 8 J = 110.55 max(relative change in state) = 0.28926
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 557 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 558 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 558 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 109.90 max(relative change in state) = -
n_iter = 2 J = 99.597 max(relative change in state) = 0.87533
n_iter = 3 J = 93.038 max(relative change in state) = 0.72384
n_iter = 4 J = 90.133 max(relative change in state) = 1.1326
n_iter = 5 J = 93.150 max(relative change in state) = 1.1724
n_iter = 6 J = 88.878 max(relative change in state) = 0.71930
n_iter = 7 J = 88.700 max(relative change in state) = 0.44074E-01
n_iter = 8 J = 88.452 max(relative change in state) = 0.27481
n_iter = 9 J = 88.431 max(relative change in state) = 0.15694
n_iter = 10 J = 88.099 max(relative change in state) = 0.44320E-01
n_iter = 11 J = 87.971 max(relative change in state) = 0.73149E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 558 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 559 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 559 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 106.07 max(relative change in state) = -
n_iter = 2 J = 91.049 max(relative change in state) = 1.2273
n_iter = 3 J = 81.648 max(relative change in state) = 2.5809
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 559 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 560 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 560 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 127.71 max(relative change in state) = -
n_iter = 2 J = 108.87 max(relative change in state) = 1.5603
n_iter = 3 J = 101.24 max(relative change in state) = 2.2482
n_iter = 4 J = 102.54 max(relative change in state) = 0.70966
n_iter = 5 J = 101.07 max(relative change in state) = 0.58856
n_iter = 6 J = 101.05 max(relative change in state) = 0.42073E-01
n_iter = 7 J = 101.03 max(relative change in state) = 0.75678E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 560 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 561 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 561 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.976 max(relative change in state) = -
n_iter = 2 J = 29.184 max(relative change in state) = 0.89829
n_iter = 3 J = 27.573 max(relative change in state) = 0.74134
n_iter = 4 J = 31.760 max(relative change in state) = 1.3896
n_iter = 5 J = 27.534 max(relative change in state) = 1.2702
n_iter = 6 J = 27.524 max(relative change in state) = 0.13268E-01
n_iter = 7 J = 27.484 max(relative change in state) = 0.27274
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 561 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 562 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 562 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 68.625 max(relative change in state) = -
n_iter = 2 J = 60.989 max(relative change in state) = 0.39569
n_iter = 3 J = 42.965 max(relative change in state) = 2.7507
n_iter = 4 J = 41.770 max(relative change in state) = 0.33212
n_iter = 5 J = 45.754 max(relative change in state) = 1.5151
n_iter = 6 J = 41.053 max(relative change in state) = 1.9510
n_iter = 7 J = 39.454 max(relative change in state) = 0.31072
n_iter = 8 J = 38.434 max(relative change in state) = 0.11457
n_iter = 9 J = 37.767 max(relative change in state) = 0.17839
n_iter = 10 J = 37.441 max(relative change in state) = 0.18689
n_iter = 11 J = 37.068 max(relative change in state) = 0.10050
n_iter = 12 J = 36.975 max(relative change in state) = 0.30293E-01
n_iter = 13 J = 36.732 max(relative change in state) = 0.15219
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 14.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 562 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 563 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 563 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 38.334 max(relative change in state) = -
n_iter = 2 J = 32.903 max(relative change in state) = 0.91717
n_iter = 3 J = 31.226 max(relative change in state) = 1.0033
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 563 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 564 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 564 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 293.59 max(relative change in state) = -
n_iter = 2 J = 661.76 max(relative change in state) = 16.599
n_iter = 3 J = 249.85 max(relative change in state) = 13.328
n_iter = 4 J = 251.31 max(relative change in state) = 1.1879
n_iter = 5 J = 249.69 max(relative change in state) = 0.92807
n_iter = 6 J = 249.64 max(relative change in state) = 0.43216E-01
n_iter = 7 J = 249.39 max(relative change in state) = 0.25746
n_iter = 8 J = 249.33 max(relative change in state) = 0.16303
n_iter = 9 J = 249.32 max(relative change in state) = 0.27948E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 564 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 565 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 565 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 137.17 max(relative change in state) = -
n_iter = 2 J = 133.42 max(relative change in state) = 0.15558
n_iter = 3 J = 123.47 max(relative change in state) = 0.64829
n_iter = 4 J = 115.22 max(relative change in state) = 2.6941
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 565 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 566 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 566 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 153.41 max(relative change in state) = -
n_iter = 2 J = 118.31 max(relative change in state) = 2.5345
n_iter = 3 J = 110.11 max(relative change in state) = 1.1202
n_iter = 4 J = 131.22 max(relative change in state) = 3.4129
n_iter = 5 J = 109.38 max(relative change in state) = 3.0183
n_iter = 6 J = 109.04 max(relative change in state) = 0.69387E-01
n_iter = 7 J = 108.82 max(relative change in state) = 0.68371
n_iter = 8 J = 107.77 max(relative change in state) = 0.32493
n_iter = 9 J = 107.67 max(relative change in state) = 0.37340E-01
n_iter = 10 J = 107.53 max(relative change in state) = 0.29637
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 566 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 567 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 567 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 96.062 max(relative change in state) = -
n_iter = 2 J = 82.705 max(relative change in state) = 1.4058
n_iter = 3 J = 79.090 max(relative change in state) = 1.4245
n_iter = 4 J = 89.516 max(relative change in state) = 2.4197
n_iter = 5 J = 79.018 max(relative change in state) = 2.2181
n_iter = 6 J = 79.010 max(relative change in state) = 0.13864E-01
n_iter = 7 J = 78.946 max(relative change in state) = 0.31336
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 567 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 568 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 568 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 9.6282 max(relative change in state) = -
n_iter = 2 J = 8.6696 max(relative change in state) = 0.80699
n_iter = 3 J = 8.6242 max(relative change in state) = 0.11552
n_iter = 4 J = 8.8327 max(relative change in state) = 0.33048
n_iter = 5 J = 8.6228 max(relative change in state) = 0.30291
n_iter = 6 J = 8.6227 max(relative change in state) = 0.88746E-03
n_iter = 7 J = 8.6218 max(relative change in state) = 0.13954E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 568 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 569 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 569 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 37.376 max(relative change in state) = -
n_iter = 2 J = 33.235 max(relative change in state) = 0.71848
n_iter = 3 J = 31.936 max(relative change in state) = 0.70672
n_iter = 4 J = 35.614 max(relative change in state) = 1.3375
n_iter = 5 J = 31.850 max(relative change in state) = 1.1927
n_iter = 6 J = 31.816 max(relative change in state) = 0.16890E-01
n_iter = 7 J = 31.788 max(relative change in state) = 0.27586
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 569 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 570 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 570 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.701 max(relative change in state) = -
n_iter = 2 J = 38.118 max(relative change in state) = 0.47855
n_iter = 3 J = 35.128 max(relative change in state) = 0.43513
n_iter = 4 J = 33.322 max(relative change in state) = 0.61854
n_iter = 5 J = 35.128 max(relative change in state) = 0.32025
n_iter = 6 J = 33.199 max(relative change in state) = 0.27685
n_iter = 7 J = 33.159 max(relative change in state) = 0.17567E-01
n_iter = 8 J = 32.960 max(relative change in state) = 0.19587
n_iter = 9 J = 33.007 max(relative change in state) = 0.56281E-01
n_iter = 10 J = 32.948 max(relative change in state) = 0.41062E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 10.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 570 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 571 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 571 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.253 max(relative change in state) = -
n_iter = 2 J = 30.863 max(relative change in state) = 0.98005
n_iter = 3 J = 30.563 max(relative change in state) = 0.43355
n_iter = 4 J = 31.073 max(relative change in state) = 0.72224
n_iter = 5 J = 30.484 max(relative change in state) = 0.48835
n_iter = 6 J = 30.481 max(relative change in state) = 0.11071E-01
n_iter = 7 J = 30.471 max(relative change in state) = 0.91038E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 571 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 572 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 572 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 53.793 max(relative change in state) = -
n_iter = 2 J = 48.402 max(relative change in state) = 0.72376
n_iter = 3 J = 46.370 max(relative change in state) = 0.92948
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 572 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 573 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 573 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 573 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 574 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 574 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 574 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 575 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 575 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 116.34 max(relative change in state) = -
n_iter = 2 J = 105.82 max(relative change in state) = 1.5656
n_iter = 3 J = 104.14 max(relative change in state) = 0.55740
n_iter = 4 J = 107.77 max(relative change in state) = 1.5727
n_iter = 5 J = 103.96 max(relative change in state) = 1.3579
n_iter = 6 J = 103.91 max(relative change in state) = 0.36556E-01
n_iter = 7 J = 103.70 max(relative change in state) = 0.34485
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 575 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 576 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 576 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 12.482 max(relative change in state) = -
n_iter = 2 J = 10.730 max(relative change in state) = 0.49967
n_iter = 3 J = 10.289 max(relative change in state) = 0.36648
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 576 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 577 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 577 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 96.018 max(relative change in state) = -
n_iter = 2 J = 80.327 max(relative change in state) = 1.1648
n_iter = 3 J = 68.212 max(relative change in state) = 1.9090
n_iter = 4 J = 70.891 max(relative change in state) = 1.4292
n_iter = 5 J = 67.993 max(relative change in state) = 1.1594
n_iter = 6 J = 67.939 max(relative change in state) = 0.31082E-01
n_iter = 7 J = 67.598 max(relative change in state) = 0.55807
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 577 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 578 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 578 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 257.81 max(relative change in state) = -
n_iter = 2 J = 966.72 max(relative change in state) = 29.429
n_iter = 3 J = 238.79 max(relative change in state) = 24.897
n_iter = 4 J = 269.05 max(relative change in state) = 3.6565
n_iter = 5 J = 238.69 max(relative change in state) = 3.4509
n_iter = 6 J = 238.67 max(relative change in state) = 0.16637E-01
n_iter = 7 J = 238.63 max(relative change in state) = 0.33451
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 578 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 579 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 579 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 24.229 max(relative change in state) = -
n_iter = 2 J = 20.224 max(relative change in state) = 0.31906
n_iter = 3 J = 13.476 max(relative change in state) = 1.4805
n_iter = 4 J = 17.713 max(relative change in state) = 1.6871
n_iter = 5 J = 13.038 max(relative change in state) = 1.4023
n_iter = 6 J = 12.956 max(relative change in state) = 0.68207E-01
n_iter = 7 J = 12.825 max(relative change in state) = 0.27404
n_iter = 8 J = 12.684 max(relative change in state) = 0.17626
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 579 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 580 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 580 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 73.820 max(relative change in state) = -
n_iter = 2 J = 68.367 max(relative change in state) = 0.41641
n_iter = 3 J = 63.143 max(relative change in state) = 1.1334
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 580 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 581 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 581 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.876 max(relative change in state) = -
n_iter = 2 J = 36.953 max(relative change in state) = 0.80612
n_iter = 3 J = 35.188 max(relative change in state) = 1.0527
n_iter = 4 J = 36.692 max(relative change in state) = 0.93718
n_iter = 5 J = 35.157 max(relative change in state) = 0.83359
n_iter = 6 J = 35.148 max(relative change in state) = 0.16327E-01
n_iter = 7 J = 35.130 max(relative change in state) = 0.20691
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 581 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 582 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 582 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 109.93 max(relative change in state) = -
n_iter = 2 J = 100.26 max(relative change in state) = 0.61048
n_iter = 3 J = 92.502 max(relative change in state) = 1.0493
n_iter = 4 J = 90.869 max(relative change in state) = 0.87809
n_iter = 5 J = 91.068 max(relative change in state) = 0.65518
n_iter = 6 J = 90.151 max(relative change in state) = 0.29203
n_iter = 7 J = 90.092 max(relative change in state) = 0.18666E-01
n_iter = 8 J = 89.717 max(relative change in state) = 0.27055
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 582 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 583 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 583 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 63.758 max(relative change in state) = -
n_iter = 2 J = 54.745 max(relative change in state) = 1.2298
n_iter = 3 J = 52.233 max(relative change in state) = 0.68158
n_iter = 4 J = 53.886 max(relative change in state) = 1.0487
n_iter = 5 J = 52.085 max(relative change in state) = 0.83973
n_iter = 6 J = 52.046 max(relative change in state) = 0.29526E-01
n_iter = 7 J = 51.861 max(relative change in state) = 0.36750
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 583 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 584 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 584 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 39.384 max(relative change in state) = -
n_iter = 2 J = 33.096 max(relative change in state) = 0.62596
n_iter = 3 J = 28.159 max(relative change in state) = 1.0380
n_iter = 4 J = 28.764 max(relative change in state) = 0.69933
n_iter = 5 J = 27.961 max(relative change in state) = 0.51725
n_iter = 6 J = 27.906 max(relative change in state) = 0.62493E-01
n_iter = 7 J = 27.881 max(relative change in state) = 0.21165
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 584 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 585 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 585 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 135.64 max(relative change in state) = -
n_iter = 2 J = 120.17 max(relative change in state) = 2.4779
n_iter = 3 J = 118.48 max(relative change in state) = 1.2796
n_iter = 4 J = 121.65 max(relative change in state) = 1.4777
n_iter = 5 J = 118.32 max(relative change in state) = 1.2111
n_iter = 6 J = 118.29 max(relative change in state) = 0.22141E-01
n_iter = 7 J = 118.21 max(relative change in state) = 0.31891
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 585 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 586 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 586 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 68.065 max(relative change in state) = -
n_iter = 2 J = 58.902 max(relative change in state) = 0.32040
n_iter = 3 J = 55.747 max(relative change in state) = 0.18804
n_iter = 4 J = 51.600 max(relative change in state) = 0.43170
n_iter = 5 J = 50.959 max(relative change in state) = 1.0850
n_iter = 6 J = 46.787 max(relative change in state) = 0.30223
n_iter = 7 J = 46.202 max(relative change in state) = 0.10246
n_iter = 8 J = 45.704 max(relative change in state) = 0.15702
n_iter = 9 J = 44.937 max(relative change in state) = 0.47682
n_iter = 10 J = 44.370 max(relative change in state) = 0.36701
n_iter = 11 J = 44.162 max(relative change in state) = 0.19589
n_iter = 12 J = 44.041 max(relative change in state) = 0.38271E-01
n_iter = 13 J = 43.888 max(relative change in state) = 0.10657
n_iter = 14 J = 43.796 max(relative change in state) = 0.13800
n_iter = 15 J = 43.742 max(relative change in state) = 0.27105E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 15.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 586 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 587 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 587 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 587 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 588 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 588 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 52.985 max(relative change in state) = -
n_iter = 2 J = 45.841 max(relative change in state) = 0.89936
n_iter = 3 J = 43.361 max(relative change in state) = 1.0279
n_iter = 4 J = 48.764 max(relative change in state) = 1.8494
n_iter = 5 J = 43.276 max(relative change in state) = 1.6405
n_iter = 6 J = 43.260 max(relative change in state) = 0.15535E-01
n_iter = 7 J = 43.232 max(relative change in state) = 0.35555
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 588 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 589 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 589 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 43.270 max(relative change in state) = -
n_iter = 2 J = 36.763 max(relative change in state) = 0.58081
n_iter = 3 J = 30.630 max(relative change in state) = 1.1620
n_iter = 4 J = 30.243 max(relative change in state) = 0.35975
n_iter = 5 J = 29.948 max(relative change in state) = 0.23553
n_iter = 6 J = 29.908 max(relative change in state) = 0.60608E-01
n_iter = 7 J = 29.889 max(relative change in state) = 0.54412E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 589 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 590 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 590 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 34.690 max(relative change in state) = -
n_iter = 2 J = 28.845 max(relative change in state) = 0.52655
n_iter = 3 J = 21.816 max(relative change in state) = 1.1492
n_iter = 4 J = 21.976 max(relative change in state) = 0.50903
n_iter = 5 J = 21.490 max(relative change in state) = 0.31007
n_iter = 6 J = 21.460 max(relative change in state) = 0.86894E-01
n_iter = 7 J = 21.442 max(relative change in state) = 0.71619E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 590 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 591 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 591 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 11.839 max(relative change in state) = -
n_iter = 2 J = 9.8362 max(relative change in state) = 0.32512
n_iter = 3 J = 7.7348 max(relative change in state) = 0.80533
n_iter = 4 J = 7.8647 max(relative change in state) = 0.18025
n_iter = 5 J = 7.7261 max(relative change in state) = 0.15201
n_iter = 6 J = 7.7233 max(relative change in state) = 0.73279E-02
n_iter = 7 J = 7.7103 max(relative change in state) = 0.84853E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 591 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 592 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 592 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 77.426 max(relative change in state) = -
n_iter = 2 J = 65.336 max(relative change in state) = 1.1254
n_iter = 3 J = 59.469 max(relative change in state) = 1.6117
n_iter = 4 J = 67.824 max(relative change in state) = 2.6419
n_iter = 5 J = 57.998 max(relative change in state) = 1.7284
n_iter = 6 J = 57.956 max(relative change in state) = 0.54765E-01
n_iter = 7 J = 57.852 max(relative change in state) = 0.25566
n_iter = 8 J = 57.805 max(relative change in state) = 0.79588E-01
n_iter = 9 J = 57.791 max(relative change in state) = 0.62804E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 592 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 593 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 593 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 35.261 max(relative change in state) = -
n_iter = 2 J = 29.393 max(relative change in state) = 0.71446
n_iter = 3 J = 24.465 max(relative change in state) = 1.4072
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 593 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 594 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 594 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 129.24 max(relative change in state) = -
n_iter = 2 J = 112.49 max(relative change in state) = 2.4976
n_iter = 3 J = 110.24 max(relative change in state) = 1.4138
n_iter = 4 J = 110.30 max(relative change in state) = 0.17032
n_iter = 5 J = 110.22 max(relative change in state) = 0.76922E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 594 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 595 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 595 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 160.70 max(relative change in state) = -
n_iter = 2 J = 122.98 max(relative change in state) = 3.2830
n_iter = 3 J = 119.44 max(relative change in state) = 1.2894
n_iter = 4 J = 131.09 max(relative change in state) = 2.4452
n_iter = 5 J = 119.17 max(relative change in state) = 2.0754
n_iter = 6 J = 119.15 max(relative change in state) = 0.16645E-01
n_iter = 7 J = 119.12 max(relative change in state) = 0.15797
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 595 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 596 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 596 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 92.563 max(relative change in state) = -
n_iter = 2 J = 78.630 max(relative change in state) = 1.3636
n_iter = 3 J = 71.956 max(relative change in state) = 1.2621
n_iter = 4 J = 78.720 max(relative change in state) = 1.7019
n_iter = 5 J = 71.869 max(relative change in state) = 1.5359
n_iter = 6 J = 71.845 max(relative change in state) = 0.16024E-01
n_iter = 7 J = 71.730 max(relative change in state) = 0.35033
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 596 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 597 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 597 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 27.021 max(relative change in state) = -
n_iter = 2 J = 22.512 max(relative change in state) = 0.43631
n_iter = 3 J = 18.224 max(relative change in state) = 0.79261
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 597 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 598 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 598 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 88.366 max(relative change in state) = -
n_iter = 2 J = 79.389 max(relative change in state) = 1.7899
n_iter = 3 J = 78.344 max(relative change in state) = 0.42923
n_iter = 4 J = 80.165 max(relative change in state) = 0.71890
n_iter = 5 J = 78.304 max(relative change in state) = 0.64722
n_iter = 6 J = 78.287 max(relative change in state) = 0.10500E-01
n_iter = 7 J = 78.264 max(relative change in state) = 0.25031
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 598 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 599 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 599 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 582.35 max(relative change in state) = -
n_iter = 2 J = 4795.5 max(relative change in state) = 49.371
n_iter = 3 J = 537.02 max(relative change in state) = 45.201
n_iter = 4 J = 539.05 max(relative change in state) = 1.3684
n_iter = 5 J = 536.18 max(relative change in state) = 0.94241
n_iter = 6 J = 536.00 max(relative change in state) = 0.12761
n_iter = 7 J = 535.63 max(relative change in state) = 0.37226
n_iter = 8 J = 535.36 max(relative change in state) = 0.16316
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 599 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 600 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 600 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 32.942 max(relative change in state) = -
n_iter = 2 J = 27.958 max(relative change in state) = 0.63749
n_iter = 3 J = 25.246 max(relative change in state) = 0.77222
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 600 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 601 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 601 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 25.986 max(relative change in state) = -
n_iter = 2 J = 22.099 max(relative change in state) = 0.56230
n_iter = 3 J = 20.131 max(relative change in state) = 0.71574
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 601 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 602 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 602 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 336.81 max(relative change in state) = -
n_iter = 2 J = 758.10 max(relative change in state) = 16.782
n_iter = 3 J = 303.48 max(relative change in state) = 12.472
n_iter = 4 J = 322.13 max(relative change in state) = 3.2269
n_iter = 5 J = 302.67 max(relative change in state) = 2.7227
n_iter = 6 J = 302.50 max(relative change in state) = 0.47331E-01
n_iter = 7 J = 301.96 max(relative change in state) = 0.30713
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 602 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 603 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 603 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 93.957 max(relative change in state) = -
n_iter = 2 J = 82.842 max(relative change in state) = 0.76456
n_iter = 3 J = 76.774 max(relative change in state) = 1.4468
n_iter = 4 J = 83.378 max(relative change in state) = 1.8324
n_iter = 5 J = 76.370 max(relative change in state) = 1.2823
n_iter = 6 J = 75.908 max(relative change in state) = 0.24650
n_iter = 7 J = 75.543 max(relative change in state) = 0.26870
n_iter = 8 J = 75.205 max(relative change in state) = 0.17918
n_iter = 9 J = 75.119 max(relative change in state) = 0.62055
n_iter = 10 J = 74.643 max(relative change in state) = 0.24092
n_iter = 11 J = 74.554 max(relative change in state) = 0.90461E-01
n_iter = 12 J = 74.477 max(relative change in state) = 0.93253E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 12.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 603 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 604 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 604 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 146.99 max(relative change in state) = -
n_iter = 2 J = 135.27 max(relative change in state) = 0.68500
n_iter = 3 J = 122.49 max(relative change in state) = 3.9716
n_iter = 4 J = 118.22 max(relative change in state) = 0.63120
n_iter = 5 J = 120.84 max(relative change in state) = 0.56027
n_iter = 6 J = 117.96 max(relative change in state) = 0.54977
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 604 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 605 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 605 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 92.107 max(relative change in state) = -
n_iter = 2 J = 87.179 max(relative change in state) = 0.23871
n_iter = 3 J = 83.173 max(relative change in state) = 0.14941
n_iter = 4 J = 74.952 max(relative change in state) = 0.60673
n_iter = 5 J = 71.532 max(relative change in state) = 0.61803
n_iter = 6 J = 72.244 max(relative change in state) = 0.32003
n_iter = 7 J = 72.229 max(relative change in state) = 0.12769
n_iter = 8 J = 71.855 max(relative change in state) = 0.26215
n_iter = 9 J = 71.345 max(relative change in state) = 0.24511
n_iter = 10 J = 70.955 max(relative change in state) = 0.48604
n_iter = 11 J = 69.703 max(relative change in state) = 0.25219
n_iter = 12 J = 68.848 max(relative change in state) = 0.12435
n_iter = 13 J = 68.352 max(relative change in state) = 0.92476E-01
n_iter = 14 J = 68.051 max(relative change in state) = 0.14122
n_iter = 15 J = 67.911 max(relative change in state) = 0.81720E-01
n_iter = 16 J = 67.841 max(relative change in state) = 0.14523
n_iter = 17 J = 67.730 max(relative change in state) = 0.61090E-01
n_iter = 18 J = 67.666 max(relative change in state) = 0.33953E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 18.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 605 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 606 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 606 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 44.911 max(relative change in state) = -
n_iter = 2 J = 37.988 max(relative change in state) = 0.24810
n_iter = 3 J = 31.996 max(relative change in state) = 0.47923
n_iter = 4 J = 30.057 max(relative change in state) = 0.22890
n_iter = 5 J = 27.793 max(relative change in state) = 0.31595
n_iter = 6 J = 26.410 max(relative change in state) = 0.29264
n_iter = 7 J = 26.153 max(relative change in state) = 0.17266
n_iter = 8 J = 25.933 max(relative change in state) = 0.37900E-01
n_iter = 9 J = 25.714 max(relative change in state) = 0.57743E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 606 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 607 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 607 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 64.610 max(relative change in state) = -
n_iter = 2 J = 54.093 max(relative change in state) = 0.85340
n_iter = 3 J = 45.362 max(relative change in state) = 1.9169
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 607 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 608 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 608 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 216.44 max(relative change in state) = -
n_iter = 2 J = 519.73 max(relative change in state) = 10.862
n_iter = 3 J = 195.79 max(relative change in state) = 8.3588
n_iter = 4 J = 237.65 max(relative change in state) = 4.6621
n_iter = 5 J = 195.57 max(relative change in state) = 4.3093
n_iter = 6 J = 195.56 max(relative change in state) = 0.15644E-01
n_iter = 7 J = 195.44 max(relative change in state) = 0.12421
n_iter = 8 J = 195.53 max(relative change in state) = 0.39206
n_iter = 9 J = 195.40 max(relative change in state) = 0.26365
n_iter = 10 J = 195.40 max(relative change in state) = 0.17152E-01
n_iter = 11 J = 195.39 max(relative change in state) = 0.23976E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 11.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 608 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 609 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 609 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.071 max(relative change in state) = -
n_iter = 2 J = 27.782 max(relative change in state) = 0.74374
n_iter = 3 J = 23.946 max(relative change in state) = 1.0960
n_iter = 4 J = 24.968 max(relative change in state) = 0.66269
n_iter = 5 J = 23.921 max(relative change in state) = 0.58333
n_iter = 6 J = 23.912 max(relative change in state) = 0.79334E-02
n_iter = 7 J = 23.866 max(relative change in state) = 0.18034
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 609 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 610 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 610 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 649.36 max(relative change in state) = -
n_iter = 2 J = 2132.6 max(relative change in state) = 41.940
n_iter = 3 J = 543.05 max(relative change in state) = 32.356
n_iter = 4 J = 542.63 max(relative change in state) = 0.67978
n_iter = 5 J = 542.24 max(relative change in state) = 0.53925
n_iter = 6 J = 542.17 max(relative change in state) = 0.45770E-01
n_iter = 7 J = 542.16 max(relative change in state) = 0.18165E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 610 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 611 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 611 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 120.82 max(relative change in state) = -
n_iter = 2 J = 110.94 max(relative change in state) = 0.29463
n_iter = 3 J = 108.45 max(relative change in state) = 0.14637
n_iter = 4 J = 104.49 max(relative change in state) = 0.39714
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 5.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 611 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 612 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 612 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 42.797 max(relative change in state) = -
n_iter = 2 J = 38.369 max(relative change in state) = 0.98606
n_iter = 3 J = 37.971 max(relative change in state) = 0.29313
n_iter = 4 J = 39.440 max(relative change in state) = 0.80058
n_iter = 5 J = 37.963 max(relative change in state) = 0.74766
n_iter = 6 J = 37.960 max(relative change in state) = 0.40481E-02
n_iter = 7 J = 37.953 max(relative change in state) = 0.80138E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 612 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 613 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 613 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 284.45 max(relative change in state) = -
n_iter = 2 J = 530.59 max(relative change in state) = 13.608
n_iter = 3 J = 235.43 max(relative change in state) = 9.5232
n_iter = 4 J = 235.07 max(relative change in state) = 0.63211
n_iter = 5 J = 234.09 max(relative change in state) = 0.38864
n_iter = 6 J = 233.93 max(relative change in state) = 0.18221
n_iter = 7 J = 233.65 max(relative change in state) = 0.22975
n_iter = 8 J = 233.35 max(relative change in state) = 0.15063
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 9.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 613 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 614 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 614 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 192.87 max(relative change in state) = -
n_iter = 2 J = 307.39 max(relative change in state) = 9.7485
n_iter = 3 J = 172.53 max(relative change in state) = 7.2709
n_iter = 4 J = 177.84 max(relative change in state) = 1.7779
n_iter = 5 J = 172.51 max(relative change in state) = 1.6669
n_iter = 6 J = 172.51 max(relative change in state) = 0.48327E-02
n_iter = 7 J = 172.47 max(relative change in state) = 0.94597E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 614 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 615 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 615 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 159.55 max(relative change in state) = -
n_iter = 2 J = 128.83 max(relative change in state) = 3.6300
n_iter = 3 J = 125.09 max(relative change in state) = 0.76592
n_iter = 4 J = 133.62 max(relative change in state) = 2.1616
n_iter = 5 J = 124.67 max(relative change in state) = 1.7285
n_iter = 6 J = 124.65 max(relative change in state) = 0.27408E-01
n_iter = 7 J = 124.55 max(relative change in state) = 0.29012
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 615 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 616 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 616 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 32.871 max(relative change in state) = -
n_iter = 2 J = 28.150 max(relative change in state) = 0.81213
n_iter = 3 J = 26.743 max(relative change in state) = 0.67420
n_iter = 4 J = 30.778 max(relative change in state) = 1.5403
n_iter = 5 J = 26.674 max(relative change in state) = 1.3365
n_iter = 6 J = 26.670 max(relative change in state) = 0.67520E-02
n_iter = 7 J = 26.640 max(relative change in state) = 0.11908
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 616 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 617 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 617 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.731 max(relative change in state) = -
n_iter = 2 J = 28.270 max(relative change in state) = 0.49669
n_iter = 3 J = 23.180 max(relative change in state) = 1.2220
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 617 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 618 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 618 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 33.289 max(relative change in state) = -
n_iter = 2 J = 28.541 max(relative change in state) = 0.66707
n_iter = 3 J = 26.816 max(relative change in state) = 0.61910
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 618 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 619 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 619 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 619 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 620 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 620 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 165.98 max(relative change in state) = -
n_iter = 2 J = 145.34 max(relative change in state) = 4.6740
n_iter = 3 J = 134.56 max(relative change in state) = 1.9798
n_iter = 4 J = 136.45 max(relative change in state) = 0.95102
n_iter = 5 J = 134.48 max(relative change in state) = 0.81234
n_iter = 6 J = 134.46 max(relative change in state) = 0.13793E-01
n_iter = 7 J = 134.32 max(relative change in state) = 0.25768
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 8.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 620 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 621 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 621 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 14.539 max(relative change in state) = -
n_iter = 2 J = 12.143 max(relative change in state) = 0.37677
n_iter = 3 J = 9.7906 max(relative change in state) = 0.87534
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function is increasing
INFO (from ropp_1dvar_cost): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 4.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 621 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 622 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 622 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 15.587 max(relative change in state) = -
n_iter = 2 J = 12.825 max(relative change in state) = 0.38623
n_iter = 3 J = 8.8762 max(relative change in state) = 1.0977
n_iter = 4 J = 9.2798 max(relative change in state) = 0.54595
n_iter = 5 J = 8.8456 max(relative change in state) = 0.43876
n_iter = 6 J = 8.8371 max(relative change in state) = 0.10974E-01
n_iter = 7 J = 8.7864 max(relative change in state) = 0.20218
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 622 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
ERROR (from ropp_qc_genqc): Observation profile does not reach below minimum required height: 2.00000E+04 m.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 623 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 623 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 70.016 max(relative change in state) = -
n_iter = 2 J = 62.036 max(relative change in state) = 1.4770
n_iter = 3 J = 61.268 max(relative change in state) = 0.76864
n_iter = 4 J = 65.566 max(relative change in state) = 1.4518
n_iter = 5 J = 61.244 max(relative change in state) = 1.3372
n_iter = 6 J = 61.243 max(relative change in state) = 0.55498E-02
n_iter = 7 J = 61.235 max(relative change in state) = 0.37618E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 623 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 624 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 624 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 32.262 max(relative change in state) = -
n_iter = 2 J = 28.507 max(relative change in state) = 0.79204
n_iter = 3 J = 27.999 max(relative change in state) = 0.46375
n_iter = 4 J = 29.854 max(relative change in state) = 1.0141
n_iter = 5 J = 27.922 max(relative change in state) = 0.85126
n_iter = 6 J = 27.910 max(relative change in state) = 0.24581E-01
n_iter = 7 J = 27.877 max(relative change in state) = 0.19172
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the cost function did not change by more
than 0.10000 for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 624 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
INFO (from ropp_1dvar_refrac): Reading observation data for profile 625 from the file
ROPP_testing/ropp_test_tmp/IT-FM-OP.nc.
INFO (from ropp_1dvar_refrac): Reading background data for profile 625 from the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc.
INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass.
INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning.
INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change
of state vector as additional convergence criterium.
n_iter = 1 J = 34.163 max(relative change in state) = -
n_iter = 2 J = 28.969 max(relative change in state) = 0.57279
n_iter = 3 J = 25.902 max(relative change in state) = 0.63382
n_iter = 4 J = 25.946 max(relative change in state) = 0.42319
n_iter = 5 J = 25.612 max(relative change in state) = 0.28102
n_iter = 6 J = 25.596 max(relative change in state) = 0.73166E-01
n_iter = 7 J = 25.585 max(relative change in state) = 0.54197E-01
INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more
than 0.10000 relative to the assumed background errors for the last 2 iterations.
INFO (from ropp_1dvar_solve): Minimization of cost function successfully finished (according to additional
convergence criteria). Number of required iterations: 7.
INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 625 to the file
ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc.
IT_1DVAR_OP_RUN: Warning: (REF) Issue with at least one profile: (REF) (may be acceptable, but check to be sure) Running remote command: . ./.ropp_test gfortran_linux;
ROPP_testing/ropp_1dvar/tools/ropp_1dvar_refrac_gfortran_linux -y ROPP_testing/ropp_test_tmp/IT-FM-OP.nc -b ROPP_testing/ropp_test_tmp/IT-1DVAR-OP_b.nc
--bg-corr ROPP_testing/ropp_1dvar/errors/ropp_bg_ecmwf_error_corr_L91.nc -o ROPP_testing/ropp_test_tmp/IT-1DVAR-OP.2.nc
Found max difference [K] in BA temperature scenarios : 6.1856
Found max difference [g/kg] in BA specific humidity scenarios: 3.8059
Found max difference [hPa] in BA pressure scenarios : 11.5577
Found max difference BA cost function reduction : 65.4211
Found min difference BA cost function reduction : 0.0000
Found max difference [K] in REF temperature scenarios : 11.3577
Found max difference [g/kg] in REF specific humidity scenarios: 1.6187
Found max difference [hPa] in REF pressure scenarios : 9.1255
Found max difference REF cost function reduction : 89.8622
Found min difference REF cost function reduction : 0.0000
--------------------------------------------------------------------
--------------------------------------------------------------------
Running processing time average
--------------------------------------------------------------------
--------------------------------------------------------------------
Time call 0, processing time found: 150.24000
Time call 1, processing time found: 151.40000
Time call 2, processing time found: 151.83000
Time call 3, processing time found: 150.83000
Time call 4, processing time found: 154.12000
Average processing time [s]: 151.684
End of test: Mon Sep 28 17:20:57 2020, test done by: Ian Culverwell
Generating log file: ~/ROPP_testing/ropp_test/html/versions/10.0/logs/IT-1DVAR-OP_gfortran_linux.html