-------------------------------------------------------------------- -------------------------------------------------------------------- Start of test: Mon Sep 21 14:38:08 2020 -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- 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 -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- Performing test: IT-1DVAR-03 -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- Running compiler / platform / module: gfortran_linux / vld189 / ropp_1dvar -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- -------------------------------------------------------------------- Running command / platform: . ./.ropp_test gfortran_linux; ROPP_testing/ropp_1dvar/tools/ropp_1dvar_bangle_gfortran_linux -y ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc -b ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc --bg-corr ROPP_testing/ropp_test_tmp/IT-1DVAR-03_c.nc -o ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc / vld189 -------------------------------------------------------------------- -------------------------------------------------------------------- --------------------------------------------------------------------- ROPP Bending Angle 1D-Var --------------------------------------------------------------------- INFO (from ropp_1dvar_bangle): Reading observation data for profile 1 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 1 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criteria. n_iter = 1 J = 206.08 max(relative change in state) = - n_iter = 2 J = 119.99 max(relative change in state) = 0.34101 n_iter = 3 J = 63.160 max(relative change in state) = 0.55012 n_iter = 4 J = 50.929 max(relative change in state) = 0.18262 n_iter = 5 J = 42.314 max(relative change in state) = 0.12822 n_iter = 6 J = 32.378 max(relative change in state) = 0.20368 n_iter = 7 J = 27.748 max(relative change in state) = 0.16416 n_iter = 8 J = 23.770 max(relative change in state) = 0.92587E-01 n_iter = 9 J = 19.958 max(relative change in state) = 0.14694 n_iter = 10 J = 16.197 max(relative change in state) = 0.20782 n_iter = 11 J = 14.819 max(relative change in state) = 0.11343 n_iter = 12 J = 13.724 max(relative change in state) = 0.30200E-01 n_iter = 13 J = 13.173 max(relative change in state) = 0.19778E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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): Writing 1DVar retrieval for profile 1 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 2 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 2 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criteria. n_iter = 1 J = 143.36 max(relative change in state) = - n_iter = 2 J = 117.92 max(relative change in state) = 0.12460 n_iter = 3 J = 53.608 max(relative change in state) = 0.65005 n_iter = 4 J = 40.597 max(relative change in state) = 0.23016 n_iter = 5 J = 32.901 max(relative change in state) = 0.19553 n_iter = 6 J = 26.525 max(relative change in state) = 0.14635 n_iter = 7 J = 19.990 max(relative change in state) = 0.22886 n_iter = 8 J = 18.552 max(relative change in state) = 0.19856 n_iter = 9 J = 15.712 max(relative change in state) = 0.82515E-01 n_iter = 10 J = 15.044 max(relative change in state) = 0.28007E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 2 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 3 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 3 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criteria. n_iter = 1 J = 83.120 max(relative change in state) = - n_iter = 2 J = 68.005 max(relative change in state) = 0.12063 n_iter = 3 J = 28.500 max(relative change in state) = 0.59408 n_iter = 4 J = 22.374 max(relative change in state) = 0.19541 n_iter = 5 J = 16.241 max(relative change in state) = 0.30500 n_iter = 6 J = 14.263 max(relative change in state) = 0.34340 n_iter = 7 J = 12.307 max(relative change in state) = 0.86619E-01 n_iter = 8 J = 11.708 max(relative change in state) = 0.43776E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 4 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 4 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criteria. n_iter = 1 J = 108.24 max(relative change in state) = - n_iter = 2 J = 88.731 max(relative change in state) = 0.12758 n_iter = 3 J = 38.465 max(relative change in state) = 0.71729 n_iter = 4 J = 30.264 max(relative change in state) = 0.18672 n_iter = 5 J = 23.999 max(relative change in state) = 0.15241 n_iter = 6 J = 17.885 max(relative change in state) = 0.19449 n_iter = 7 J = 14.730 max(relative change in state) = 0.22415 n_iter = 8 J = 12.812 max(relative change in state) = 0.11170 n_iter = 9 J = 11.971 max(relative change in state) = 0.26351E-01 n_iter = 10 J = 9.9401 max(relative change in state) = 0.10254 n_iter = 11 J = 9.4066 max(relative change in state) = 0.87693E-01 n_iter = 12 J = 9.1388 max(relative change in state) = 0.49718E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 4 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 5 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 5 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criteria. n_iter = 1 J = 77.715 max(relative change in state) = - n_iter = 2 J = 63.647 max(relative change in state) = 0.14739 n_iter = 3 J = 27.961 max(relative change in state) = 0.59717 n_iter = 4 J = 22.336 max(relative change in state) = 0.25185 n_iter = 5 J = 16.436 max(relative change in state) = 0.39137 n_iter = 6 J = 13.498 max(relative change in state) = 0.60202 n_iter = 7 J = 12.783 max(relative change in state) = 0.20916 n_iter = 8 J = 12.198 max(relative change in state) = 0.76801E-01 n_iter = 9 J = 11.996 max(relative change in state) = 0.35103E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 5 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 6 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 6 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. 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 = 95.324 max(relative change in state) = - n_iter = 2 J = 77.977 max(relative change in state) = 0.14524 n_iter = 3 J = 30.641 max(relative change in state) = 0.63340 n_iter = 4 J = 23.711 max(relative change in state) = 0.13280 n_iter = 5 J = 16.349 max(relative change in state) = 0.27531 n_iter = 6 J = 13.473 max(relative change in state) = 0.22347 n_iter = 7 J = 11.572 max(relative change in state) = 0.17603 n_iter = 8 J = 10.287 max(relative change in state) = 0.18029 n_iter = 9 J = 9.9036 max(relative change in state) = 0.11929 n_iter = 10 J = 9.6054 max(relative change in state) = 0.48861E-01 n_iter = 11 J = 9.4312 max(relative change in state) = 0.45787E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 6 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 7 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 7 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. 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 = 91.306 max(relative change in state) = - n_iter = 2 J = 74.698 max(relative change in state) = 0.10783 n_iter = 3 J = 29.239 max(relative change in state) = 0.63875 n_iter = 4 J = 21.339 max(relative change in state) = 0.17356 n_iter = 5 J = 15.684 max(relative change in state) = 0.27563 n_iter = 6 J = 13.612 max(relative change in state) = 0.20406 n_iter = 7 J = 12.318 max(relative change in state) = 0.55234E-01 n_iter = 8 J = 11.166 max(relative change in state) = 0.88454E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 7 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. INFO (from ropp_1dvar_bangle): Reading observation data for profile 8 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_bangle): Reading background data for profile 8 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_cutoff): 4 points rejected for being above maximum impact height of 60.0 km. INFO (from ropp_qc_bgqc): Background quality control lets all bending angle values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criteria. n_iter = 1 J = 99.544 max(relative change in state) = - n_iter = 2 J = 81.357 max(relative change in state) = 0.13734 n_iter = 3 J = 31.027 max(relative change in state) = 0.70028 n_iter = 4 J = 24.531 max(relative change in state) = 0.13395 n_iter = 5 J = 18.911 max(relative change in state) = 0.15476 n_iter = 6 J = 15.535 max(relative change in state) = 0.23075 n_iter = 7 J = 13.285 max(relative change in state) = 0.13908 n_iter = 8 J = 11.958 max(relative change in state) = 0.12008 n_iter = 9 J = 11.227 max(relative change in state) = 0.18720 n_iter = 10 J = 10.439 max(relative change in state) = 0.51445E-01 n_iter = 11 J = 10.307 max(relative change in state) = 0.12380E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 8 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.1.nc. Processing BA scenario: FASCOD_TRO Processing BA scenario: FASCOD_MLS Processing BA scenario: FASCOD_MLW Processing BA scenario: FASCOD_SAS Processing BA scenario: FASCOD_SAW Processing BA scenario: DUCTING_00 Processing BA scenario: DUCTING_01 Processing BA scenario: DUCTING_02 -------------------------------------------------------------------- -------------------------------------------------------------------- Running command / platform: . ./.ropp_test gfortran_linux; ROPP_testing/ropp_1dvar/tools/ropp_1dvar_refrac_gfortran_linux -y ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc -b ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc --bg-corr ROPP_testing/ropp_test_tmp/IT-1DVAR-03_c.nc -o ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.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-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 1 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 62.523 max(relative change in state) = - n_iter = 2 J = 51.061 max(relative change in state) = 0.17528 n_iter = 3 J = 18.386 max(relative change in state) = 0.89550 n_iter = 4 J = 13.642 max(relative change in state) = 0.22620 n_iter = 5 J = 9.1789 max(relative change in state) = 0.33569 n_iter = 6 J = 8.1878 max(relative change in state) = 0.25155 n_iter = 7 J = 7.6714 max(relative change in state) = 0.96797E-01 n_iter = 8 J = 7.5742 max(relative change in state) = 0.36383E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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): Writing 1DVar retrieval for profile 1 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 2 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 2 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 50.379 max(relative change in state) = - n_iter = 2 J = 41.095 max(relative change in state) = 0.17382 n_iter = 3 J = 13.617 max(relative change in state) = 0.92139 n_iter = 4 J = 10.535 max(relative change in state) = 0.22291 n_iter = 5 J = 7.7792 max(relative change in state) = 0.43987 n_iter = 6 J = 7.6869 max(relative change in state) = 0.14378 n_iter = 7 J = 7.5649 max(relative change in state) = 0.55837E-01 n_iter = 8 J = 7.5610 max(relative change in state) = 0.75134E-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: 8. INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 2 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 3 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 3 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 38.233 max(relative change in state) = - n_iter = 2 J = 31.351 max(relative change in state) = 0.18157 n_iter = 3 J = 14.727 max(relative change in state) = 0.55397 n_iter = 4 J = 11.630 max(relative change in state) = 0.26762 n_iter = 5 J = 9.9449 max(relative change in state) = 0.47031 n_iter = 6 J = 9.4829 max(relative change in state) = 0.21284 n_iter = 7 J = 9.2232 max(relative change in state) = 0.72068E-01 n_iter = 8 J = 9.1755 max(relative change in state) = 0.24597E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 3 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 4 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 4 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 44.867 max(relative change in state) = - n_iter = 2 J = 36.553 max(relative change in state) = 0.16127 n_iter = 3 J = 11.661 max(relative change in state) = 0.97462 n_iter = 4 J = 9.2106 max(relative change in state) = 0.23181 n_iter = 5 J = 8.5669 max(relative change in state) = 0.38011 n_iter = 6 J = 7.9524 max(relative change in state) = 0.20421 n_iter = 7 J = 7.8982 max(relative change in state) = 0.30328E-01 n_iter = 8 J = 7.8887 max(relative change in state) = 0.82621E-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: 8. INFO (from ropp_1dvar_refrac): Appending 1DVar retrieval for profile 4 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 5 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 5 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 36.727 max(relative change in state) = - n_iter = 2 J = 30.169 max(relative change in state) = 0.19158 n_iter = 3 J = 15.426 max(relative change in state) = 0.52327 n_iter = 4 J = 12.636 max(relative change in state) = 0.25878 n_iter = 5 J = 10.254 max(relative change in state) = 0.66683 n_iter = 6 J = 10.041 max(relative change in state) = 0.26894 n_iter = 7 J = 9.6296 max(relative change in state) = 0.10533 n_iter = 8 J = 9.5775 max(relative change in state) = 0.27383E-01 n_iter = 9 J = 9.5108 max(relative change in state) = 0.36448E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 5 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 6 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 6 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 43.919 max(relative change in state) = - n_iter = 2 J = 35.885 max(relative change in state) = 0.16013 n_iter = 3 J = 13.705 max(relative change in state) = 0.69759 n_iter = 4 J = 11.051 max(relative change in state) = 0.18812 n_iter = 5 J = 8.7436 max(relative change in state) = 0.36790 n_iter = 6 J = 8.5006 max(relative change in state) = 0.21980 n_iter = 7 J = 8.1684 max(relative change in state) = 0.10598 n_iter = 8 J = 8.1401 max(relative change in state) = 0.11309E-01 n_iter = 9 J = 8.1041 max(relative change in state) = 0.32367E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 6 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 7 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 7 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 42.124 max(relative change in state) = - n_iter = 2 J = 34.405 max(relative change in state) = 0.13347 n_iter = 3 J = 13.574 max(relative change in state) = 0.66513 n_iter = 4 J = 11.093 max(relative change in state) = 0.20171 n_iter = 5 J = 9.4859 max(relative change in state) = 0.30623 n_iter = 6 J = 8.9340 max(relative change in state) = 0.14062 n_iter = 7 J = 8.7620 max(relative change in state) = 0.47041E-01 n_iter = 8 J = 8.6649 max(relative change in state) = 0.72348E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 7 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. INFO (from ropp_1dvar_refrac): Reading observation data for profile 8 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_y.nc. INFO (from ropp_1dvar_refrac): Reading background data for profile 8 from the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03_b.nc. INFO (from ropp_qc_bgqc): Background quality control lets all refractivity values pass. INFO (from ropp_1dvar_solve): Using background error covariance matrix for preconditioning. INFO (from ropp_1dvar_cost): Using absolute decrease of cost function and relative change of state vector as additional convergence criterium. n_iter = 1 J = 43.462 max(relative change in state) = - n_iter = 2 J = 35.487 max(relative change in state) = 0.12549 n_iter = 3 J = 13.575 max(relative change in state) = 0.71702 n_iter = 4 J = 11.067 max(relative change in state) = 0.19221 n_iter = 5 J = 9.4600 max(relative change in state) = 0.31047 n_iter = 6 J = 8.8203 max(relative change in state) = 0.20050 n_iter = 7 J = 8.6415 max(relative change in state) = 0.43538E-01 n_iter = 8 J = 8.5656 max(relative change in state) = 0.38451E-01 INFO (from ropp_1dvar_cost): Convergence assumed to be achieved as the state vector did not change by more than 0.10000 relative to the assumed background errors for 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 8 to the file ROPP_testing/ropp_test_tmp/IT-1DVAR-03.2.nc. Processing REF scenario: FASCOD_TRO Processing REF scenario: FASCOD_MLS Processing REF scenario: FASCOD_MLW Processing REF scenario: FASCOD_SAS Processing REF scenario: FASCOD_SAW Processing REF scenario: DUCTING_00 Processing REF scenario: DUCTING_01 Processing REF scenario: DUCTING_02 Found max difference [K] in BA temperature scenarios : 2.5010 Found max difference [%] in BA specific humidity scenarios: 12.1800 Found max difference [%] in BA pressure scenarios : 0.9198 Simplified BA cost function reduction (FASCOD_TRO): 90.8%. Simplified BA cost function reduction (FASCOD_MLS): 85.5%. Simplified BA cost function reduction (FASCOD_MLW): 75.2%. Simplified BA cost function reduction (FASCOD_SAS): 89.3%. Simplified BA cost function reduction (FASCOD_SAW): 71.9%. Simplified BA cost function reduction (DUCTING_00): 83.6%. Simplified BA cost function reduction (DUCTING_01): 75.2%. Simplified BA cost function reduction (DUCTING_02): 82.9%. Found max difference [K] in REF temperature scenarios : 2.2784 Found max difference [%] in REF specific humidity scenarios: 12.2305 Found max difference [%] in REF pressure scenarios : 0.9401 Simplified REF cost function reduction (FASCOD_TRO): 86.6%. Simplified REF cost function reduction (FASCOD_MLS): 84.0%. Simplified REF cost function reduction (FASCOD_MLW): 62.7%. Simplified REF cost function reduction (FASCOD_SAS): 81.3%. Simplified REF cost function reduction (FASCOD_SAW): 49.0%. Simplified REF cost function reduction (DUCTING_00): 74.1%. Simplified REF cost function reduction (DUCTING_01): 69.5%. Simplified REF cost function reduction (DUCTING_02): 71.5%. -------------------------------------------------------------------- -------------------------------------------------------------------- Running processing time average -------------------------------------------------------------------- -------------------------------------------------------------------- Time call 0, processing time found: 1.9700000 Time call 1, processing time found: 1.9900000 Time call 2, processing time found: 1.9300000 Time call 3, processing time found: 2.0100000 Time call 4, processing time found: 2.0000000 Average processing time [s]: 1.980 End of test: Mon Sep 21 14:39:51 2020, test done by: Ian Culverwell Generating log file: ~/ROPP_testing/ropp_test/html/versions/10.0/logs/IT-1DVAR-03_gfortran_linux.html