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Ticket #431: ropp_io_read_ncdf_get.f90.16072015

File ropp_io_read_ncdf_get.f90.16072015, 129.7 KB (added by Ian Culverwell, 10 years ago)
ropp_io_read_ncdf_get.f90.16072015

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1	! $Id: ropp_io_read_ncdf_get.f90 4512 2015-04-28 14:21:22Z idculv $
2
3	!***is Reading/ropp_io_read_ncdf_get *
4	!
5	! NAME
6	! ropp_io_read_ncdf_get - Get data from an (already defined) netCDF.
7	!
8	! SYNOPSIS
9	! call ropp_io_read_ncdf_get(data, rec)
10	!
11	! DESCRIPTION
12	! This subroutine gets variables from an already openend / netCDF data
13	! file.
14	! Reads core parameters from V1.0 format version and new parameters
15	! added in V1.1. Additional variables contained in the netCDF file are
16	! read in and define elements of the Vlist structures in ROprof.
17	!
18	! NOTES
19	! A netCDF file must have been opened before; this subroutine only works
20	! on the current netcdf file. The netCDF data file is left open.
21	!
22	! AUTHOR
23	! Met Office, Exeter, UK.
24	! Any comments on this software should be given via the ROM SAF
25	! Helpdesk at http://www.romsaf.org
26	!
27	! COPYRIGHT
28	! (c) EUMETSAT. All rights reserved.
29	! For further details please refer to the file COPYRIGHT
30	! which you should have received as part of this distribution.
31	!
32	!****
33
34	!-------------------------------------------------------------------------------
35	! 1. Core RO data
36	!-------------------------------------------------------------------------------
37
38	SUBROUTINE ropp_io_read_ncdf_get_rodata(DATA, rec)
39
40	! 1.1 Declarations
41	! ----------------
42
43	USE ropp_utils
44	USE ncdf
45	USE ropp_io, not_this => ropp_io_read_ncdf_get_rodata
46	USE ropp_io_types, ONLY: ROprof, &
47	ThisFmtVer
48
49	IMPLICIT NONE
50
51	TYPE(ROprof), INTENT(inout) :: DATA
52	INTEGER, OPTIONAL :: rec
53
54	INTEGER :: n, ierr
55	INTEGER :: irec
56	INTEGER, DIMENSION(8) :: DT8 ! Date/time array
57
58	CHARACTER(len = 23) :: proc_date
59	CHARACTER(LEN=15) :: cval
60
61	REAL(dp) :: time, start_time, dtocc_time, now_time !dp defined in DateTimeTypes
62	REAL :: fmtver
63
64	INTEGER :: status, varid, ndim, TYPE
65	CHARACTER(len = 256) :: routine
66
67	! 1.2 Error handling
68	! ------------------
69
70	CALL message_get_routine(routine)
71	CALL message_set_routine('ropp_io_read_ncdf_get')
72
73	! 1.3 Default parameters
74	! ----------------------
75
76	IF (PRESENT(rec)) THEN
77	irec = rec
78	ELSE
79	irec = 1
80	ENDIF
81
82	! 1.4 (Global) Attributes
83	! ------------------------
84
85	data%FmtVersion = ' ' ; CALL ncdf_getatt('format_version', data%FmtVersion)
86	READ ( data%FmtVersion(11:), fmt=*, iostat=ierr ) fmtver
87	IF ( ierr /= 0 ) data%FmtVersion = ThisFmtVer
88	data%processing_centre = ' ' ; CALL ncdf_getatt('processing_centre', data%processing_centre)
89	IF (ncdf_isatt('processing_software')) THEN ! added at V8.0
90	data%processing_software = ' ' ; CALL ncdf_getatt('processing_software', data%processing_software)
91	ENDIF
92	proc_date = ' ' ; CALL ncdf_getatt('processing_date', proc_date)
93	data%pod_method = ' ' ; CALL ncdf_getatt('pod_method', data%pod_method)
94	data%phase_method = ' ' ; CALL ncdf_getatt('phase_method', data%phase_method)
95	data%bangle_method = ' ' ; CALL ncdf_getatt('bangle_method', data%bangle_method)
96	data%refrac_method = ' ' ; CALL ncdf_getatt('refrac_method', data%refrac_method)
97	data%meteo_method = ' ' ; CALL ncdf_getatt('meteo_method', data%meteo_method)
98	IF(ncdf_isatt('thin_method'))THEN ! added at V1.1
99	data%thin_method = ' ' ; CALL ncdf_getatt('thin_method', data%thin_method)
100	ENDIF
101	data%software_version = ' ' ; CALL ncdf_getatt('software_version', data%software_version)
102
103	IF (proc_date( 1: 4) /= ' ') READ(proc_date( 1: 4), *) data%DTpro%Year
104	IF (proc_date( 6: 7) /= ' ') READ(proc_date( 6: 7), *) data%DTpro%Month
105	IF (proc_date( 9:10) /= ' ') READ(proc_date( 9:10), *) data%DTpro%Day
106	IF (proc_date(12:13) /= ' ') READ(proc_date(12:13), *) data%DTpro%Hour
107	IF (proc_date(15:16) /= ' ') READ(proc_date(15:16), *) data%DTpro%Minute
108	IF (proc_date(18:19) /= ' ') READ(proc_date(18:19), *) data%DTpro%Second
109	IF (proc_date(21:23) /= ' ') READ(proc_date(21:23), *) data%DTpro%Msec
110
111	! 1.5 Header variables
112	! --------------------
113
114	CALL ncdf_getvar('occ_id', data%occ_id, rec = irec)
115	CALL ncdf_getvar('gns_id', data%gns_id, rec = irec)
116	CALL ncdf_getvar('leo_id', data%leo_id, rec = irec)
117	CALL ncdf_getvar('stn_id', data%stn_id, rec = irec)
118
119	! 1.6 Date and time
120	! -----------------
121
122	CALL ncdf_getvar('start_time', start_time, rec=irec)
123	CALL ncdf_getvar('year', data%DTocc%Year, &
124	units = data%DTocc%units%Year, &
125	range = data%DTocc%range%Year, &
126	rec = irec)
127	CALL ncdf_getvar('month', data%DTocc%Month, &
128	units = data%DTocc%units%Month, &
129	range = data%DTocc%range%Month, &
130	rec = irec)
131	CALL ncdf_getvar('day', data%DTocc%Day, &
132	units = data%DTocc%units%Day, &
133	range = data%DTocc%range%Day, &
134	rec = irec)
135	CALL ncdf_getvar('hour', data%DTocc%Hour, &
136	units = data%DTocc%units%Hour, &
137	range = data%DTocc%range%Hour, &
138	rec = irec)
139	CALL ncdf_getvar('minute', data%DTocc%Minute, &
140	units = data%DTocc%units%Minute, &
141	range = data%DTocc%range%Minute, &
142	rec = irec)
143	CALL ncdf_getvar('second', data%DTocc%Second, &
144	units = data%DTocc%units%Second, &
145	range = data%DTocc%range%Second, &
146	rec = irec)
147	CALL ncdf_getvar('msec', data%DTocc%Msec, &
148	units = data%DTocc%units%Msec, &
149	range = data%DTocc%range%Msec, &
150	rec = irec)
151
152	! 1.6.1 Check consistency: start_time and DTocc (if both are valid)
153	! should refer to the same epoch within 1ms. Issue a warning if not.
154
155	CALL Date_and_Time_UTC(Values=DT8)
156
157	CALL TimeSince(DT8, now_time, 1, Base="JS2000")
158
159	IF (isroppinrange(data%DTocc)) THEN
160	IF ( isinrange(start_time, (/ 0.001_dp, now_time /)) ) THEN
161	DT8 = (/ data%DTocc%Year, data%DTocc%Month, data%DTocc%Day, 0, &
162	data%DTocc%Hour, data%DTocc%Minute, data%DTocc%Second, &
163	data%DTocc%Msec /)
164	CALL TimeSince(DT8, dtocc_time, 1, Base="JS2000")
165	time = ABS(start_time - dtocc_time)
166	IF ( time > 0.0005_dp ) THEN
167	WRITE ( cval, FMT="(F15.3)" ) time
168	CALL message(msg_warn, "'start_time' and yr/mo/dy/hr/mn/sc/ms " // &
169	"timestamps differ by " // &
170	TRIM(ADJUSTL(cval))//" seconds - using yr/../ms timestamp")
171	END IF
172	END IF
173
174	! If any DTocc element is invalid, substitute converted start_time
175	! (if that is valid) and issue a warning.
176	ELSE
177
178	IF ( isinrange(start_time, (/ 0.001_dp, now_time /)) ) THEN
179	CALL message(msg_warn, "One or more of yr/mo/dy/hr/mn/sc/ms times " // &
180	"are invalid - using 'start_time' instead")
181	CALL TimeSince(DT8, start_time, -1, Base="JS2000")
182	data%DTocc%Year = DT8(1)
183	data%DTocc%Month = DT8(2)
184	data%DTocc%Day = DT8(3)
185	data%DTocc%Hour = DT8(5)
186	data%DTocc%Minute = DT8(6)
187	data%DTocc%Second = DT8(7)
188	data%DTocc%Msec = DT8(8)
189	END IF
190
191	! NB if neither DTocc nor start_time are valid, do nothing here; missing
192	! coordinates should be dealt with as part of generic Q/C.
193	END IF
194
195	! 1.7 Overall quality
196	! -------------------
197
198	CALL ncdf_getvar('pcd', data%pcd, &
199	units = data%units%pcd, &
200	range = data%range%pcd, &
201	rec = irec)
202	CALL ncdf_getvar('overall_qual', data%overall_qual, &
203	units = data%units%overall_qual, &
204	range = data%range%overall_qual, &
205	rec = irec)
206
207	! 1.8 Georeferencing
208	! ------------------
209
210	CALL ncdf_getvar('time', time, rec=irec)
211	CALL ncdf_getvar('lat', data%georef%lat, &
212	units = data%georef%units%lat, &
213	range = data%georef%range%lat, &
214	rec = irec)
215	CALL ncdf_getvar('lon', data%georef%lon, &
216	units = data%georef%units%lon, &
217	range = data%georef%range%lon, &
218	rec = irec)
219	CALL ncdf_getvar('time_offset', data%georef%time_offset, &
220	units = data%georef%units%time_offset, &
221	range = data%georef%range%time_offset, &
222	rec = irec)
223	CALL ncdf_getvar('undulation', data%georef%Undulation, &
224	units = data%georef%units%Undulation, &
225	range = data%georef%range%undulation, &
226	rec = irec)
227	CALL ncdf_getvar('roc', data%georef%roc, &
228	units = data%georef%units%roc, &
229	range = data%georef%range%roc, &
230	rec = irec)
231	CALL ncdf_getvar('r_coc', data%georef%r_coc, &
232	units = data%georef%units%r_coc, &
233	range = data%georef%range%r_coc, &
234	rec = irec)
235	CALL ncdf_getvar('azimuth', data%georef%azimuth, &
236	units = data%georef%units%azimuth, &
237	range = data%georef%range%azimuth, &
238	rec = irec)
239
240	! 1.8.1 Other attributes
241
242	CALL ncdf_getatt('reference_frame', data%georef%reference_frame%r_coc, varname= 'r_coc')
243
244	! 1.9 Background characterisation (if any)
245	! ----------------------------------------
246
247	IF (ncdf_isvar('bg_source')) THEN
248	data%BG%Source = 'TBD'
249	ELSE
250	data%BG%Source = 'NONE'
251	ENDIF
252
253	IF (data%BG%Source /= 'NONE') THEN
254	CALL ncdf_getvar('bg_source', data%BG%Source, rec = irec)
255	CALL ncdf_getvar('bg_year', data%BG%Year, &
256	units = data%BG%units%Year, &
257	range = data%BG%range%Year, &
258	rec = irec)
259	CALL ncdf_getvar('bg_month', data%BG%Month, &
260	units = data%BG%units%Month, &
261	range = data%BG%range%Month, &
262	rec = irec)
263	CALL ncdf_getvar('bg_day', data%BG%Day, &
264	units = data%BG%units%Day, &
265	range = data%BG%range%Day, &
266	rec = irec)
267	CALL ncdf_getvar('bg_hour', data%BG%Hour, &
268	units = data%BG%units%Hour, &
269	range = data%BG%range%Hour, &
270	rec = irec)
271	CALL ncdf_getvar('bg_minute', data%BG%Minute, &
272	units = data%BG%units%Minute, &
273	range = data%BG%range%Minute, &
274	rec = irec)
275	CALL ncdf_getvar('bg_fcperiod', data%BG%fcPeriod, &
276	units = data%BG%units%fcPeriod, &
277	range = data%BG%range%fcPeriod, &
278	rec = irec)
279	ENDIF
280
281	! 1.10 Level1a variables (if any)
282	! ------------------------------
283
284	IF (ncdf_isvar('dtime')) THEN
285	CALL ncdf_getsize('dtime', n, dim = 1)
286	CALL ropp_io_init(data%Lev1a, n)
287	ELSE
288	data%Lev1a%Npoints = 0
289	ENDIF
290
291	IF (data%Lev1a%Npoints > 0) THEN
292	CALL ncdf_getvar('dtime', data%Lev1a%dtime, &
293	units = data%Lev1a%units%dtime, &
294	range = data%Lev1a%range%dtime, &
295	rec = irec)
296	CALL ncdf_getvar('snr_L1ca', data%Lev1a%snr_L1ca, &
297	units = data%Lev1a%units%snr, &
298	range = data%Lev1a%range%snr, &
299	rec = irec)
300	CALL ncdf_getvar('snr_L1p', data%Lev1a%snr_L1p, &
301	units = data%Lev1a%units%snr, &
302	range = data%Lev1a%range%snr, &
303	rec = irec)
304	CALL ncdf_getvar('snr_L2p', data%Lev1a%snr_L2p, &
305	units = data%Lev1a%units%snr, &
306	range = data%Lev1a%range%snr, &
307	rec = irec)
308	CALL ncdf_getvar('phase_L1', data%Lev1a%phase_L1, &
309	units = data%Lev1a%units%phase, &
310	range = data%Lev1a%range%phase, &
311	rec = irec)
312	CALL ncdf_getvar('phase_L2', data%Lev1a%phase_L2, &
313	units = data%Lev1a%units%phase, &
314	range = data%Lev1a%range%phase, &
315	rec = irec)
316	CALL ncdf_getvar('r_gns', data%Lev1a%r_gns, &
317	units = data%Lev1a%units%r_gns, &
318	range = data%Lev1a%range%r_gns, &
319	rec = irec)
320	CALL ncdf_getvar('v_gns', data%Lev1a%v_gns, &
321	units = data%Lev1a%units%v_gns, &
322	range = data%Lev1a%range%v_gns, &
323	rec = irec)
324	CALL ncdf_getvar('r_leo', data%Lev1a%r_leo, &
325	units = data%Lev1a%units%r_leo, &
326	range = data%Lev1a%range%r_leo, &
327	rec = irec)
328	CALL ncdf_getvar('v_leo', data%Lev1a%v_leo, &
329	units = data%Lev1a%units%v_leo, &
330	range = data%Lev1a%range%v_leo, &
331	rec = irec)
332	CALL ncdf_getvar('phase_qual', data%Lev1a%phase_qual, &
333	units = data%Lev1a%units%phase_qual, &
334	range = data%Lev1a%range%phase_qual, &
335	rec = irec)
336	! 1.10.1 Other attributes
337
338	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%r_gns, varname = 'r_gns')
339	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%v_gns, varname = 'v_gns')
340	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%r_leo, varname = 'r_leo')
341	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%v_leo, varname = 'v_leo')
342
343	data%Lev1a%Missing = .FALSE.
344	ENDIF
345
346	! 1.11 Level1b variables (if any)
347	! -------------------------------
348
349	IF (ncdf_isvar('lat_tp')) THEN
350	CALL ncdf_getsize('lat_tp', n, dim = 1)
351	CALL ropp_io_init(data%Lev1b, n)
352	ELSE
353	data%Lev1b%Npoints = 0
354	ENDIF
355
356	IF (data%Lev1b%Npoints > 0) THEN
357
358	CALL ncdf_getvar('lat_tp', data%Lev1b%lat_tp, &
359	units = data%Lev1b%units%lat_tp, &
360	range = data%Lev1b%range%lat_tp, &
361	rec = irec)
362	CALL ncdf_getvar('lon_tp', data%Lev1b%lon_tp, &
363	units = data%Lev1b%units%lon_tp, &
364	range = data%Lev1b%range%lon_tp, &
365	rec = irec)
366	CALL ncdf_getvar('azimuth_tp', data%Lev1b%azimuth_tp, &
367	units = data%Lev1b%units%azimuth_tp, &
368	range = data%Lev1b%range%azimuth_tp, &
369	rec = irec)
370
371	CALL ncdf_getvar('impact_L1', data%Lev1b%impact_L1, &
372	units = data%Lev1b%units%impact, &
373	range = data%Lev1b%range%impact, &
374	rec = irec)
375	CALL ncdf_getvar('impact_L2', data%Lev1b%impact_L2, &
376	units = data%Lev1b%units%impact, &
377	range = data%Lev1b%range%impact, &
378	rec = irec)
379	CALL ncdf_getvar('impact', data%Lev1b%impact, &
380	units = data%Lev1b%units%impact, &
381	range = data%Lev1b%range%impact, &
382	rec = irec)
383	IF (ncdf_isvar('impact_opt')) & ! added at v1.1
384	CALL ncdf_getvar('impact_opt', data%Lev1b%impact_opt, &
385	units = data%Lev1b%units%impact, &
386	range = data%Lev1b%range%impact, &
387	rec = irec)
388
389	CALL ncdf_getvar('bangle_L1', data%Lev1b%bangle_L1, &
390	units = data%Lev1b%units%bangle, &
391	range = data%Lev1b%range%bangle, &
392	rec = irec)
393	CALL ncdf_getvar('bangle_L2', data%Lev1b%bangle_L2, &
394	units = data%Lev1b%units%bangle, &
395	range = data%Lev1b%range%bangle, &
396	rec = irec)
397	CALL ncdf_getvar('bangle', data%Lev1b%bangle, &
398	units = data%Lev1b%units%bangle, &
399	range = data%Lev1b%range%bangle, &
400	rec = irec)
401	IF (ncdf_isvar('bangle_opt')) & ! added at v1.1
402	CALL ncdf_getvar('bangle_opt', data%Lev1b%bangle_opt, &
403	units = data%Lev1b%units%bangle, &
404	range = data%Lev1b%range%bangle, &
405	rec = irec)
406
407	CALL ncdf_getvar('bangle_L1_sigma', data%Lev1b%bangle_L1_sigma, &
408	units = data%Lev1b%units%bangle_sigma, &
409	range = data%Lev1b%range%bangle_sigma, &
410	rec = irec)
411	CALL ncdf_getvar('bangle_L2_sigma', data%Lev1b%bangle_L2_sigma, &
412	units = data%Lev1b%units%bangle_sigma, &
413	range = data%Lev1b%range%bangle_sigma, &
414	rec = irec)
415	CALL ncdf_getvar('bangle_sigma', data%Lev1b%bangle_sigma, &
416	units = data%Lev1b%units%bangle_sigma, &
417	range = data%Lev1b%range%bangle_sigma, &
418	rec = irec)
419	IF (ncdf_isvar('bangle_opt_sigma')) & ! added at v1.1
420	CALL ncdf_getvar('bangle_opt_sigma', data%Lev1b%bangle_opt_sigma, &
421	units = data%Lev1b%units%bangle_sigma, &
422	range = data%Lev1b%range%bangle_sigma, &
423	rec = irec)
424
425	CALL ncdf_getvar('bangle_L1_qual', data%Lev1b%bangle_L1_qual, &
426	units = data%Lev1b%units%bangle_qual, &
427	range = data%Lev1b%range%bangle_qual, &
428	rec = irec)
429	CALL ncdf_getvar('bangle_L2_qual', data%Lev1b%bangle_L2_qual, &
430	units = data%Lev1b%units%bangle_qual, &
431	range = data%Lev1b%range%bangle_qual, &
432	rec = irec)
433	CALL ncdf_getvar('bangle_qual', data%Lev1b%bangle_qual, &
434	units = data%Lev1b%units%bangle_qual, &
435	range = data%Lev1b%range%bangle_qual, &
436	rec = irec)
437	IF (ncdf_isvar('bangle_opt_qual')) & ! added at v1.1
438	CALL ncdf_getvar('bangle_opt_qual', data%Lev1b%bangle_opt_qual, &
439	units = data%Lev1b%units%bangle_qual, &
440	range = data%Lev1b%range%bangle_qual, &
441	rec = irec)
442	data%Lev1b%Missing = .FALSE.
443	ENDIF
444
445	! 1.12 Level2a variables (if any)
446	! -------------------------------
447
448	IF (ncdf_isvar('alt_refrac')) THEN
449	CALL ncdf_getsize('alt_refrac', n, dim = 1)
450	CALL ropp_io_init(data%Lev2a, n)
451	ELSE
452	data%Lev2a%Npoints = 0
453	ENDIF
454
455	IF (data%Lev2a%Npoints > 0) THEN
456
457	CALL ncdf_getvar('alt_refrac', data%Lev2a%alt_refrac, &
458	units = data%Lev2a%units%alt_refrac, &
459	range = data%Lev2a%range%alt_refrac, &
460	rec = irec)
461	CALL ncdf_getvar('geop_refrac', data%Lev2a%geop_refrac, &
462	units = data%Lev2a%units%geop_refrac, &
463	range = data%Lev2a%range%geop_refrac, &
464	rec = irec)
465	CALL ncdf_getvar('refrac', data%Lev2a%refrac, &
466	units = data%Lev2a%units%refrac, &
467	range = data%Lev2a%range%refrac, &
468	rec = irec)
469	CALL ncdf_getvar('refrac_sigma', data%Lev2a%refrac_sigma, &
470	units = data%Lev2a%units%refrac_sigma, &
471	range = data%Lev2a%range%refrac_sigma, &
472	rec = irec)
473	CALL ncdf_getvar('refrac_qual', data%Lev2a%refrac_qual, &
474	units = data%Lev2a%units%refrac_qual, &
475	range = data%Lev2a%range%refrac_qual, &
476	rec = irec)
477	IF (ncdf_isvar('dry_temp')) THEN !For backward compatibility
478	CALL ncdf_getvar('dry_temp', data%Lev2a%dry_temp, &
479	units = data%Lev2a%units%dry_temp, &
480	range = data%Lev2a%range%dry_temp, &
481	rec = irec)
482	CALL ncdf_getvar('dry_temp_sigma', data%Lev2a%dry_temp_sigma, &
483	units = data%Lev2a%units%dry_temp_sigma, &
484	range = data%Lev2a%range%dry_temp_sigma, &
485	rec = irec)
486	CALL ncdf_getvar('dry_temp_qual', data%Lev2a%dry_temp_qual, &
487	units = data%Lev2a%units%dry_temp_qual, &
488	range = data%Lev2a%range%dry_temp_qual, &
489	rec = irec)
490	ENDIF
491	data%Lev2a%Missing = .FALSE.
492	ENDIF
493
494	! 1.13 Level2b variables (if any)
495	! -------------------------------
496
497	IF (ncdf_isvar('geop')) THEN
498	CALL ncdf_getsize('geop', n, dim = 1)
499	CALL ropp_io_init(data%Lev2b, n)
500	ELSE
501	data%Lev2b%Npoints = 0
502	ENDIF
503
504	IF (data%Lev2b%Npoints > 0) THEN
505
506	CALL ncdf_getvar('geop', data%Lev2b%geop, &
507	units = data%Lev2b%units%geop, &
508	range = data%Lev2b%range%geop, &
509	rec = irec)
510	CALL ncdf_getvar('geop_sigma', data%Lev2b%geop_sigma, &
511	units = data%Lev2b%units%geop_sigma, &
512	range = data%Lev2b%range%geop_sigma, &
513	rec = irec)
514	CALL ncdf_getvar('press', data%Lev2b%press, &
515	units = data%Lev2b%units%press, &
516	range = data%Lev2b%range%press, &
517	rec = irec)
518	CALL ncdf_getvar('press_sigma', data%Lev2b%press_sigma, &
519	units = data%Lev2b%units%press_sigma, &
520	range = data%Lev2b%range%press_sigma, &
521	rec = irec)
522	CALL ncdf_getvar('temp', data%Lev2b%temp, &
523	units = data%Lev2b%units%temp, &
524	range = data%Lev2b%range%temp, &
525	rec = irec)
526	CALL ncdf_getvar('temp_sigma', data%Lev2b%temp_sigma, &
527	units = data%Lev2b%units%temp_sigma, &
528	range = data%Lev2b%range%temp_sigma, &
529	rec = irec)
530	CALL ncdf_getvar('shum', data%Lev2b%shum, &
531	units = data%Lev2b%units%shum, &
532	range = data%Lev2b%range%shum, &
533	rec = irec)
534	CALL ncdf_getvar('shum_sigma', data%Lev2b%shum_sigma, &
535	units = data%Lev2b%units%shum_sigma, &
536	range = data%Lev2b%range%shum_sigma, &
537	rec = irec)
538	CALL ncdf_getvar('meteo_qual', data%Lev2b%meteo_qual, &
539	units = data%Lev2b%units%meteo_qual, &
540	range = data%Lev2b%range%meteo_qual, &
541	rec = irec)
542
543	data%Lev2b%Missing = .FALSE.
544	ENDIF
545
546	! 1.14 Level2c variables (if any)
547	! -------------------------------
548
549	IF (ncdf_isvar('geop_sfc')) THEN
550	data%Lev2c%Npoints = 1
551	ELSE
552	data%Lev2c%Npoints = 0
553	ENDIF
554
555	IF (data%Lev2c%Npoints > 0) THEN
556
557	CALL ncdf_getvar('geop_sfc', data%Lev2c%geop_sfc, &
558	units = data%Lev2c%units%geop_sfc, &
559	range = data%Lev2c%range%geop_sfc, &
560	rec = irec)
561	CALL ncdf_getvar('press_sfc', data%Lev2c%press_sfc, &
562	units = data%Lev2c%units%press_sfc, &
563	range = data%Lev2c%range%press_sfc, &
564	rec = irec)
565	CALL ncdf_getvar('press_sfc_sigma', data%Lev2c%press_sfc_sigma, &
566	units = data%Lev2c%units%press_sfc_sigma, &
567	range = data%Lev2c%range%press_sfc_sigma, &
568	rec = irec)
569	CALL ncdf_getvar('press_sfc_qual', data%Lev2c%press_sfc_qual, &
570	units = data%Lev2c%units%press_sfc_qual, &
571	range = data%Lev2c%range%press_sfc_qual, &
572	rec = irec)
573
574	IF (ncdf_isvar('Ne_max')) THEN !For backward compatibility
575	CALL ncdf_getvar('Ne_max', data%Lev2c%Ne_max, &
576	units = data%Lev2c%units%Ne_max, &
577	range = data%Lev2c%range%Ne_max, &
578	rec = irec)
579	ENDIF
580	IF (ncdf_isvar('Ne_max_sigma')) THEN !For backward compatibility
581	CALL ncdf_getvar('Ne_max_sigma', data%Lev2c%Ne_max_sigma, &
582	units = data%Lev2c%units%Ne_max_sigma, &
583	range = data%Lev2c%range%Ne_max_sigma, &
584	rec = irec)
585	ENDIF
586
587	IF (ncdf_isvar('H_peak')) THEN !For backward compatibility
588	CALL ncdf_getvar('H_peak', data%Lev2c%H_peak, &
589	units = data%Lev2c%units%H_peak, &
590	range = data%Lev2c%range%H_peak, &
591	rec = irec)
592	ENDIF
593	IF (ncdf_isvar('H_peak_sigma')) THEN !For backward compatibility
594	CALL ncdf_getvar('H_peak_sigma', data%Lev2c%H_peak_sigma, &
595	units = data%Lev2c%units%H_peak_sigma, &
596	range = data%Lev2c%range%H_peak_sigma, &
597	rec = irec)
598	ENDIF
599
600	IF (ncdf_isvar('H_width')) THEN !For backward compatibility
601	CALL ncdf_getvar('H_width', data%Lev2c%H_width, &
602	units = data%Lev2c%units%H_width, &
603	range = data%Lev2c%range%H_width, &
604	rec = irec)
605	ENDIF
606	IF (ncdf_isvar('H_width_sigma')) THEN !For backward compatibility
607	CALL ncdf_getvar('H_width_sigma', data%Lev2c%H_width_sigma, &
608	units = data%Lev2c%units%H_width_sigma, &
609	range = data%Lev2c%range%H_width_sigma, &
610	rec = irec)
611	ENDIF
612
613	IF (ncdf_isvar('tph_bangle')) THEN !For backward compatibility
614	CALL ncdf_getvar('tph_bangle', data%Lev2c%tph_bangle, &
615	units = data%Lev2c%units%tph_bangle, &
616	range = data%Lev2c%range%tph_bangle, &
617	rec = irec)
618	ENDIF
619	IF (ncdf_isvar('tpa_bangle')) THEN !For backward compatibility
620	CALL ncdf_getvar('tpa_bangle', data%Lev2c%tpa_bangle, &
621	units = data%Lev2c%units%tpa_bangle, &
622	range = data%Lev2c%range%tpa_bangle, &
623	rec = irec)
624	ENDIF
625	IF (ncdf_isvar('tph_bangle_flag')) THEN !For backward compatibility
626	CALL ncdf_getvar('tph_bangle_flag', data%Lev2c%tph_bangle_flag, &
627	units = data%Lev2c%units%tph_bangle_flag, &
628	range = data%Lev2c%range%tph_bangle_flag, &
629	rec = irec)
630	ENDIF
631
632	IF (ncdf_isvar('tph_refrac')) THEN !For backward compatibility
633	CALL ncdf_getvar('tph_refrac', data%Lev2c%tph_refrac, &
634	units = data%Lev2c%units%tph_refrac, &
635	range = data%Lev2c%range%tph_refrac, &
636	rec = irec)
637	ENDIF
638	IF (ncdf_isvar('tpn_refrac')) THEN !For backward compatibility
639	CALL ncdf_getvar('tpn_refrac', data%Lev2c%tpn_refrac, &
640	units = data%Lev2c%units%tpn_refrac, &
641	range = data%Lev2c%range%tpn_refrac, &
642	rec = irec)
643	ENDIF
644	IF (ncdf_isvar('tph_refrac_flag')) THEN !For backward compatibility
645	CALL ncdf_getvar('tph_refrac_flag', data%Lev2c%tph_refrac_flag, &
646	units = data%Lev2c%units%tph_refrac_flag, &
647	range = data%Lev2c%range%tph_refrac_flag, &
648	rec = irec)
649	ENDIF
650
651	IF (ncdf_isvar('tph_tdry_lrt')) THEN !For backward compatibility
652	CALL ncdf_getvar('tph_tdry_lrt', data%Lev2c%tph_tdry_lrt, &
653	units = data%Lev2c%units%tph_tdry_lrt, &
654	range = data%Lev2c%range%tph_tdry_lrt, &
655	rec = irec)
656	ENDIF
657	IF (ncdf_isvar('tpt_tdry_lrt')) THEN !For backward compatibility
658	CALL ncdf_getvar('tpt_tdry_lrt', data%Lev2c%tpt_tdry_lrt, &
659	units = data%Lev2c%units%tpt_tdry_lrt, &
660	range = data%Lev2c%range%tpt_tdry_lrt, &
661	rec = irec)
662	ENDIF
663	IF (ncdf_isvar('tph_tdry_lrt_flag')) THEN !For backward compatibility
664	CALL ncdf_getvar('tph_tdry_lrt_flag', data%Lev2c%tph_tdry_lrt_flag, &
665	units = data%Lev2c%units%tph_tdry_lrt_flag, &
666	range = data%Lev2c%range%tph_tdry_lrt_flag, &
667	rec = irec)
668	ENDIF
669
670	IF (ncdf_isvar('tph_tdry_cpt')) THEN !For backward compatibility
671	CALL ncdf_getvar('tph_tdry_cpt', data%Lev2c%tph_tdry_cpt, &
672	units = data%Lev2c%units%tph_tdry_cpt, &
673	range = data%Lev2c%range%tph_tdry_cpt, &
674	rec = irec)
675	ENDIF
676	IF (ncdf_isvar('tpt_tdry_cpt')) THEN !For backward compatibility
677	CALL ncdf_getvar('tpt_tdry_cpt', data%Lev2c%tpt_tdry_cpt, &
678	units = data%Lev2c%units%tpt_tdry_cpt, &
679	range = data%Lev2c%range%tpt_tdry_cpt, &
680	rec = irec)
681	ENDIF
682	IF (ncdf_isvar('tph_tdry_cpt_flag')) THEN !For backward compatibility
683	CALL ncdf_getvar('tph_tdry_cpt_flag', data%Lev2c%tph_tdry_cpt_flag, &
684	units = data%Lev2c%units%tph_tdry_cpt_flag, &
685	range = data%Lev2c%range%tph_tdry_cpt_flag, &
686	rec = irec)
687	ENDIF
688
689	IF (ncdf_isvar('prh_tdry_cpt')) THEN !For backward compatibility
690	CALL ncdf_getvar('prh_tdry_cpt', data%Lev2c%prh_tdry_cpt, &
691	units = data%Lev2c%units%prh_tdry_cpt, &
692	range = data%Lev2c%range%prh_tdry_cpt, &
693	rec = irec)
694	ENDIF
695	IF (ncdf_isvar('prt_tdry_cpt')) THEN !For backward compatibility
696	CALL ncdf_getvar('prt_tdry_cpt', data%Lev2c%prt_tdry_cpt, &
697	units = data%Lev2c%units%prt_tdry_cpt, &
698	range = data%Lev2c%range%prt_tdry_cpt, &
699	rec = irec)
700	ENDIF
701	IF (ncdf_isvar('prh_tdry_cpt_flag')) THEN !For backward compatibility
702	CALL ncdf_getvar('prh_tdry_cpt_flag', data%Lev2c%prh_tdry_cpt_flag, &
703	units = data%Lev2c%units%prh_tdry_cpt_flag, &
704	range = data%Lev2c%range%prh_tdry_cpt_flag, &
705	rec = irec)
706	ENDIF
707
708	IF (ncdf_isvar('tph_temp_lrt')) THEN !For backward compatibility
709	CALL ncdf_getvar('tph_temp_lrt', data%Lev2c%tph_temp_lrt, &
710	units = data%Lev2c%units%tph_temp_lrt, &
711	range = data%Lev2c%range%tph_temp_lrt, &
712	rec = irec)
713	ENDIF
714	IF (ncdf_isvar('tpt_temp_lrt')) THEN !For backward compatibility
715	CALL ncdf_getvar('tpt_temp_lrt', data%Lev2c%tpt_temp_lrt, &
716	units = data%Lev2c%units%tpt_temp_lrt, &
717	range = data%Lev2c%range%tpt_temp_lrt, &
718	rec = irec)
719	ENDIF
720	IF (ncdf_isvar('tph_temp_lrt_flag')) THEN !For backward compatibility
721	CALL ncdf_getvar('tph_temp_lrt_flag', data%Lev2c%tph_temp_lrt_flag, &
722	units = data%Lev2c%units%tph_temp_lrt_flag, &
723	range = data%Lev2c%range%tph_temp_lrt_flag, &
724	rec = irec)
725	ENDIF
726
727	IF (ncdf_isvar('tph_temp_cpt')) THEN !For backward compatibility
728	CALL ncdf_getvar('tph_temp_cpt', data%Lev2c%tph_temp_cpt, &
729	units = data%Lev2c%units%tph_temp_cpt, &
730	range = data%Lev2c%range%tph_temp_cpt, &
731	rec = irec)
732	ENDIF
733	IF (ncdf_isvar('tpt_temp_cpt')) THEN !For backward compatibility
734	CALL ncdf_getvar('tpt_temp_cpt', data%Lev2c%tpt_temp_cpt, &
735	units = data%Lev2c%units%tpt_temp_cpt, &
736	range = data%Lev2c%range%tpt_temp_cpt, &
737	rec = irec)
738	ENDIF
739	IF (ncdf_isvar('tph_temp_cpt_flag')) THEN !For backward compatibility
740	CALL ncdf_getvar('tph_temp_cpt_flag', data%Lev2c%tph_temp_cpt_flag, &
741	units = data%Lev2c%units%tph_temp_cpt_flag, &
742	range = data%Lev2c%range%tph_temp_cpt_flag, &
743	rec = irec)
744	ENDIF
745
746	IF (ncdf_isvar('prh_temp_cpt')) THEN !For backward compatibility
747	CALL ncdf_getvar('prh_temp_cpt', data%Lev2c%prh_temp_cpt, &
748	units = data%Lev2c%units%prh_temp_cpt, &
749	range = data%Lev2c%range%prh_temp_cpt, &
750	rec = irec)
751	ENDIF
752	IF (ncdf_isvar('prt_temp_cpt')) THEN !For backward compatibility
753	CALL ncdf_getvar('prt_temp_cpt', data%Lev2c%prt_temp_cpt, &
754	units = data%Lev2c%units%prt_temp_cpt, &
755	range = data%Lev2c%range%prt_temp_cpt, &
756	rec = irec)
757	ENDIF
758	IF (ncdf_isvar('prh_temp_cpt_flag')) THEN !For backward compatibility
759	CALL ncdf_getvar('prh_temp_cpt_flag', data%Lev2c%prh_temp_cpt_flag, &
760	units = data%Lev2c%units%prh_temp_cpt_flag, &
761	range = data%Lev2c%range%prh_temp_cpt_flag, &
762	rec = irec)
763	ENDIF
764
765	IF (ncdf_isvar('pblh_bangle')) THEN !For backward compatibility
766	CALL ncdf_getvar('pblh_bangle', data%Lev2c%pblh_bangle, &
767	units = data%Lev2c%units%pblh_bangle, &
768	range = data%Lev2c%range%pblh_bangle, &
769	rec = irec)
770	ENDIF
771	IF (ncdf_isvar('pbla_bangle')) THEN !For backward compatibility
772	CALL ncdf_getvar('pbla_bangle', data%Lev2c%pbla_bangle, &
773	units = data%Lev2c%units%pbla_bangle, &
774	range = data%Lev2c%range%pbla_bangle, &
775	rec = irec)
776	ENDIF
777	IF (ncdf_isvar('pblh_bangle_flag')) THEN !For backward compatibility
778	CALL ncdf_getvar('pblh_bangle_flag', data%Lev2c%pblh_bangle_flag, &
779	units = data%Lev2c%units%pblh_bangle_flag, &
780	range = data%Lev2c%range%pblh_bangle_flag, &
781	rec = irec)
782	ENDIF
783
784	IF (ncdf_isvar('pblh_refrac')) THEN !For backward compatibility
785	CALL ncdf_getvar('pblh_refrac', data%Lev2c%pblh_refrac, &
786	units = data%Lev2c%units%pblh_refrac, &
787	range = data%Lev2c%range%pblh_refrac, &
788	rec = irec)
789	ENDIF
790	IF (ncdf_isvar('pbln_refrac')) THEN !For backward compatibility
791	CALL ncdf_getvar('pbln_refrac', data%Lev2c%pbln_refrac, &
792	units = data%Lev2c%units%pbln_refrac, &
793	range = data%Lev2c%range%pbln_refrac, &
794	rec = irec)
795	ENDIF
796	IF (ncdf_isvar('pblh_refrac_flag')) THEN !For backward compatibility
797	CALL ncdf_getvar('pblh_refrac_flag', data%Lev2c%pblh_refrac_flag, &
798	units = data%Lev2c%units%pblh_refrac_flag, &
799	range = data%Lev2c%range%pblh_refrac_flag, &
800	rec = irec)
801	ENDIF
802
803	IF (ncdf_isvar('pblh_tdry')) THEN !For backward compatibility
804	CALL ncdf_getvar('pblh_tdry', data%Lev2c%pblh_tdry, &
805	units = data%Lev2c%units%pblh_tdry, &
806	range = data%Lev2c%range%pblh_tdry, &
807	rec = irec)
808	ENDIF
809	IF (ncdf_isvar('pblt_tdry')) THEN !For backward compatibility
810	CALL ncdf_getvar('pblt_tdry', data%Lev2c%pblt_tdry, &
811	units = data%Lev2c%units%pblt_tdry, &
812	range = data%Lev2c%range%pblt_tdry, &
813	rec = irec)
814	ENDIF
815	IF (ncdf_isvar('pblh_tdry_flag')) THEN !For backward compatibility
816	CALL ncdf_getvar('pblh_tdry_flag', data%Lev2c%pblh_tdry_flag, &
817	units = data%Lev2c%units%pblh_tdry_flag, &
818	range = data%Lev2c%range%pblh_tdry_flag, &
819	rec = irec)
820	ENDIF
821
822	IF (ncdf_isvar('pblh_temp')) THEN !For backward compatibility
823	CALL ncdf_getvar('pblh_temp', data%Lev2c%pblh_temp, &
824	units = data%Lev2c%units%pblh_temp, &
825	range = data%Lev2c%range%pblh_temp, &
826	rec = irec)
827	ENDIF
828	IF (ncdf_isvar('pblt_temp')) THEN !For backward compatibility
829	CALL ncdf_getvar('pblt_temp', data%Lev2c%pblt_temp, &
830	units = data%Lev2c%units%pblt_temp, &
831	range = data%Lev2c%range%pblt_temp, &
832	rec = irec)
833	ENDIF
834	IF (ncdf_isvar('pblh_temp_flag')) THEN !For backward compatibility
835	CALL ncdf_getvar('pblh_temp_flag', data%Lev2c%pblh_temp_flag, &
836	units = data%Lev2c%units%pblh_temp_flag, &
837	range = data%Lev2c%range%pblh_temp_flag, &
838	rec = irec)
839	ENDIF
840
841	IF (ncdf_isvar('pblh_shum')) THEN !For backward compatibility
842	CALL ncdf_getvar('pblh_shum', data%Lev2c%pblh_shum, &
843	units = data%Lev2c%units%pblh_shum, &
844	range = data%Lev2c%range%pblh_shum, &
845	rec = irec)
846	ENDIF
847	IF (ncdf_isvar('pblq_shum')) THEN !For backward compatibility
848	CALL ncdf_getvar('pblq_shum', data%Lev2c%pblq_shum, &
849	units = data%Lev2c%units%pblq_shum, &
850	range = data%Lev2c%range%pblq_shum, &
851	rec = irec)
852	ENDIF
853	IF (ncdf_isvar('pblh_shum_flag')) THEN !For backward compatibility
854	CALL ncdf_getvar('pblh_shum_flag', data%Lev2c%pblh_shum_flag, &
855	units = data%Lev2c%units%pblh_shum_flag, &
856	range = data%Lev2c%range%pblh_shum_flag, &
857	rec = irec)
858	ENDIF
859
860	IF (ncdf_isvar('pblh_rhum')) THEN !For backward compatibility
861	CALL ncdf_getvar('pblh_rhum', data%Lev2c%pblh_rhum, &
862	units = data%Lev2c%units%pblh_rhum, &
863	range = data%Lev2c%range%pblh_rhum, &
864	rec = irec)
865	ENDIF
866	IF (ncdf_isvar('pblr_rhum')) THEN !For backward compatibility
867	CALL ncdf_getvar('pblr_rhum', data%Lev2c%pblr_rhum, &
868	units = data%Lev2c%units%pblr_rhum, &
869	range = data%Lev2c%range%pblr_rhum, &
870	rec = irec)
871	ENDIF
872	IF (ncdf_isvar('pblh_rhum_flag')) THEN !For backward compatibility
873	CALL ncdf_getvar('pblh_rhum_flag', data%Lev2c%pblh_rhum_flag, &
874	units = data%Lev2c%units%pblh_rhum_flag, &
875	range = data%Lev2c%range%pblh_rhum_flag, &
876	rec = irec)
877	ENDIF
878
879	data%Lev2c%Missing = .FALSE.
880
881	ENDIF
882
883	! 1.15 Level2d variables (if any)
884	! -------------------------------
885
886	IF (ncdf_isvar('level_coeff_a')) THEN
887	CALL ncdf_getsize('level_coeff_a', n, dim = 1)
888	CALL ropp_io_init(data%Lev2d, n)
889	ELSE
890	data%Lev2d%Npoints = 0
891	ENDIF
892
893	IF (data%Lev2d%Npoints > 0) THEN
894
895	CALL ncdf_getvar('level_type', data%Lev2d%level_type, &
896	rec = irec)
897	CALL ncdf_getvar('level_coeff_a', data%Lev2d%level_coeff_a, &
898	units = data%Lev2d%units%level_coeff_a, &
899	range = data%Lev2d%range%level_coeff_a, &
900	rec = irec)
901	CALL ncdf_getvar('level_coeff_b', data%Lev2d%level_coeff_b, &
902	units = data%Lev2d%units%level_coeff_b, &
903	range = data%Lev2d%range%level_coeff_b, &
904	rec = irec)
905
906	data%Lev2d%Missing = .FALSE.
907	ENDIF
908
909	! 1.16 Additional variables (if any)
910	! ----------------------------------
911
912	CALL ropp_io_init(data%vlist)
913
914	DO varid=1,ncdf_nvars
915
916	IF(.NOT. ncdf_read(varid))THEN
917
918	status = nf90_inquire_variable(ncdf_ncid, varid, xtype=TYPE, ndims=ndim)
919
920	IF (TYPE .NE. NF90_CHAR) THEN ! only read scalar variables
921
922	IF(ndim == 1)THEN
923	CALL ropp_io_read_ncdf_get_vlistD0d(varid, data%vlist%VlistD0d, irec)
924	ENDIF
925	IF(ndim == 2)THEN
926	CALL ropp_io_read_ncdf_get_vlistD1d(varid, data%vlist%VlistD1d, irec)
927	ENDIF
928	IF(ndim == 3)THEN
929	CALL ropp_io_read_ncdf_get_vlistD2d(varid, data%vlist%VlistD2d, irec)
930	ENDIF
931	ENDIF
932
933	ENDIF
934
935	ncdf_read(varid) = .FALSE. ! reset 'read variable' flag
936	ENDDO
937
938	! 1.17 Clean up
939	! -------------
940
941	CALL message_set_routine(routine)
942
943	END SUBROUTINE ropp_io_read_ncdf_get_rodata
944
945
946	!-------------------------------------------------------------------------------
947	! 2. Core RO data (two-dimensional meteorological data)
948	!-------------------------------------------------------------------------------
949
950	SUBROUTINE ropp_io_read_ncdf_get_rodata_2d(DATA, rec)
951
952	! 2.1 Declarations
953	! ----------------
954
955	USE ropp_utils
956	USE ncdf
957	USE ropp_io, not_this => ropp_io_read_ncdf_get_rodata_2d
958	USE ropp_io_types, ONLY: ROprof2d, &
959	ThisFmtVer
960
961	IMPLICIT NONE
962
963	TYPE(ROprof2d), INTENT(inout) :: DATA
964	INTEGER, OPTIONAL :: rec
965
966	INTEGER :: n, ierr
967	INTEGER :: irec
968	INTEGER, DIMENSION(2) :: n2d
969
970	INTEGER, DIMENSION(8) :: DT8 ! Date/time array
971
972	CHARACTER(LEN=15) :: cval
973
974	REAL(dp) :: time, start_time, dtocc_time, now_time !dp defined in DateTimeTypes
975	CHARACTER(len = 23) :: proc_date
976	CHARACTER(len = 256) :: routine
977
978	REAL :: fmtver
979
980	INTEGER :: status, varid, ndim, TYPE
981
982	! 2.2 Error handling
983	! ------------------
984
985	CALL message_get_routine(routine)
986	CALL message_set_routine('ropp_io_read_ncdf_get')
987
988	! 2.3 Default parameters
989	! ----------------------
990
991	IF (PRESENT(rec)) THEN
992	irec = rec
993	ELSE
994	irec = 1
995	ENDIF
996
997	! 2.4 (Global) Attributes
998	! ------------------------
999
1000	data%FmtVersion = ' ' ; CALL ncdf_getatt('format_version', data%FmtVersion)
1001	READ ( data%FmtVersion(11:), fmt=*, iostat=ierr ) fmtver
1002	IF ( ierr /= 0 ) data%FmtVersion = ThisFmtVer
1003	data%processing_centre = ' ' ; CALL ncdf_getatt('processing_centre', data%processing_centre)
1004	IF (ncdf_isatt('processing_software')) THEN ! added at V8.0
1005	data%processing_software = ' ' ; CALL ncdf_getatt('processing_software', data%processing_software)
1006	ENDIF
1007	proc_date = ' ' ; CALL ncdf_getatt('processing_date', proc_date)
1008	data%pod_method = ' ' ; CALL ncdf_getatt('pod_method', data%pod_method)
1009	data%phase_method = ' ' ; CALL ncdf_getatt('phase_method', data%phase_method)
1010	data%bangle_method = ' ' ; CALL ncdf_getatt('bangle_method', data%bangle_method)
1011	data%refrac_method = ' ' ; CALL ncdf_getatt('refrac_method', data%refrac_method)
1012	data%meteo_method = ' ' ; CALL ncdf_getatt('meteo_method', data%meteo_method)
1013	IF(ncdf_isatt('thin_method'))THEN ! added at V1.1
1014	data%thin_method = ' ' ; CALL ncdf_getatt('thin_method', data%thin_method)
1015	ENDIF
1016	data%software_version = ' ' ; CALL ncdf_getatt('software_version', data%software_version)
1017
1018	IF (proc_date( 1: 4) /= ' ') READ(proc_date( 1: 4), *) data%DTpro%Year
1019	IF (proc_date( 6: 7) /= ' ') READ(proc_date( 6: 7), *) data%DTpro%Month
1020	IF (proc_date( 9:10) /= ' ') READ(proc_date( 9:10), *) data%DTpro%Day
1021	IF (proc_date(12:13) /= ' ') READ(proc_date(12:13), *) data%DTpro%Hour
1022	IF (proc_date(15:16) /= ' ') READ(proc_date(15:16), *) data%DTpro%Minute
1023	IF (proc_date(18:19) /= ' ') READ(proc_date(18:19), *) data%DTpro%Second
1024	IF (proc_date(21:23) /= ' ') READ(proc_date(21:23), *) data%DTpro%Msec
1025
1026	! 2.5 Header variables
1027	! --------------------
1028
1029	CALL ncdf_getvar('occ_id', data%occ_id, rec = irec)
1030	CALL ncdf_getvar('gns_id', data%gns_id, rec = irec)
1031	CALL ncdf_getvar('leo_id', data%leo_id, rec = irec)
1032	CALL ncdf_getvar('stn_id', data%stn_id, rec = irec)
1033
1034	! 2.6 Date and time
1035	! -----------------
1036
1037	CALL ncdf_getvar('start_time', start_time, rec=irec)
1038	CALL ncdf_getvar('year', data%DTocc%Year, &
1039	units = data%DTocc%units%Year, &
1040	range = data%DTocc%range%Year, &
1041	rec = irec)
1042	CALL ncdf_getvar('month', data%DTocc%Month, &
1043	units = data%DTocc%units%Month, &
1044	range = data%DTocc%range%Month, &
1045	rec = irec)
1046	CALL ncdf_getvar('day', data%DTocc%Day, &
1047	units = data%DTocc%units%Day, &
1048	range = data%DTocc%range%Day, &
1049	rec = irec)
1050	CALL ncdf_getvar('hour', data%DTocc%Hour, &
1051	units = data%DTocc%units%Hour, &
1052	range = data%DTocc%range%Hour, &
1053	rec = irec)
1054	CALL ncdf_getvar('minute', data%DTocc%Minute, &
1055	units = data%DTocc%units%Minute, &
1056	range = data%DTocc%range%Minute, &
1057	rec = irec)
1058	CALL ncdf_getvar('second', data%DTocc%Second, &
1059	units = data%DTocc%units%Second, &
1060	range = data%DTocc%range%Second, &
1061	rec = irec)
1062	CALL ncdf_getvar('msec', data%DTocc%Msec, &
1063	units = data%DTocc%units%Msec, &
1064	range = data%DTocc%range%Msec, &
1065	rec = irec)
1066
1067	! 2.6.1 Check consistency: start_time and DTocc (if both are valid)
1068	! should refer to the same epoch within 1ms. Issue a warning if not.
1069
1070	CALL Date_and_Time_UTC(Values=DT8)
1071
1072	CALL TimeSince(DT8, now_time, 1, Base="JS2000")
1073
1074	IF (isroppinrange(data%DTocc)) THEN
1075	IF ( isinrange(start_time, (/ 0.001_dp, now_time /)) ) THEN
1076	DT8 = (/ data%DTocc%Year, data%DTocc%Month, data%DTocc%Day, 0, &
1077	data%DTocc%Hour, data%DTocc%Minute, data%DTocc%Second, &
1078	data%DTocc%Msec /)
1079	CALL TimeSince(DT8, dtocc_time, 1, Base="JS2000")
1080	time = ABS(start_time - dtocc_time)
1081	IF ( time > 0.0005_dp ) THEN
1082	WRITE ( cval, FMT="(F15.3)" ) time
1083	CALL message(msg_warn, "'start_time' and yr/mo/dy/hr/mn/sc/ms " // &
1084	"timestamps differ by " // &
1085	TRIM(ADJUSTL(cval))//" seconds - using yr/../ms timestamp")
1086	END IF
1087	END IF
1088
1089	! If any DTocc element is invalid, substitute converted start_time
1090	! (if that is valid) and issue a warning.
1091	ELSE
1092
1093	IF ( isinrange(start_time, (/ 0.001_dp, now_time /)) ) THEN
1094	CALL message(msg_warn, "One or more of yr/mo/dy/hr/mn/sc/ms times " // &
1095	"are invalid - using 'start_time' instead")
1096	CALL TimeSince(DT8, start_time, -1, Base="JS2000")
1097	data%DTocc%Year = DT8(1)
1098	data%DTocc%Month = DT8(2)
1099	data%DTocc%Day = DT8(3)
1100	data%DTocc%Hour = DT8(5)
1101	data%DTocc%Minute = DT8(6)
1102	data%DTocc%Second = DT8(7)
1103	data%DTocc%Msec = DT8(8)
1104	END IF
1105
1106	! NB if neither DTocc nor start_time are valid, do nothing here; missing
1107	! coordinates should be dealt with as part of generic Q/C.
1108	END IF
1109
1110	! 2.7 Overall quality
1111	! -------------------
1112
1113	CALL ncdf_getvar('pcd', data%pcd, &
1114	units = data%units%pcd, &
1115	range = data%range%pcd, &
1116	rec = irec)
1117	CALL ncdf_getvar('overall_qual', data%overall_qual, &
1118	units = data%units%overall_qual, &
1119	range = data%range%overall_qual, &
1120	rec = irec)
1121
1122	! 2.8 Georeferencing
1123	! ------------------
1124
1125	CALL ncdf_getvar('time', time, rec=irec)
1126	CALL ncdf_getvar('lat', data%georef%lat, &
1127	units = data%georef%units%lat, &
1128	range = data%georef%range%lat, &
1129	rec = irec)
1130	CALL ncdf_getvar('lon', data%georef%lon, &
1131	units = data%georef%units%lon, &
1132	range = data%georef%range%lon, &
1133	rec = irec)
1134	CALL ncdf_getvar('time_offset', data%georef%time_offset, &
1135	units = data%georef%units%time_offset, &
1136	range = data%georef%range%time_offset, &
1137	rec = irec)
1138	CALL ncdf_getvar('undulation', data%georef%Undulation, &
1139	units = data%georef%units%Undulation, &
1140	range = data%georef%range%undulation, &
1141	rec = irec)
1142	CALL ncdf_getvar('roc', data%georef%roc, &
1143	units = data%georef%units%roc, &
1144	range = data%georef%range%roc, &
1145	rec = irec)
1146	CALL ncdf_getvar('r_coc', data%georef%r_coc, &
1147	units = data%georef%units%r_coc, &
1148	range = data%georef%range%r_coc, &
1149	rec = irec)
1150	CALL ncdf_getvar('azimuth', data%georef%azimuth, &
1151	units = data%georef%units%azimuth, &
1152	range = data%georef%range%azimuth, &
1153	rec = irec)
1154
1155	! 2.8.1 Other attributes
1156
1157	CALL ncdf_getatt('reference_frame', data%georef%reference_frame%r_coc, varname= 'r_coc')
1158
1159	! 2.9 Background characterisation (if any)
1160	! ----------------------------------------
1161
1162	IF (ncdf_isvar('bg_source')) THEN
1163	data%BG%Source = 'TBD'
1164	ELSE
1165	data%BG%Source = 'NONE'
1166	ENDIF
1167
1168	IF (data%BG%Source /= 'NONE') THEN
1169	CALL ncdf_getvar('bg_source', data%BG%Source, rec = irec)
1170	CALL ncdf_getvar('bg_year', data%BG%Year, &
1171	units = data%BG%units%Year, &
1172	range = data%BG%range%Year, &
1173	rec = irec)
1174	CALL ncdf_getvar('bg_month', data%BG%Month, &
1175	units = data%BG%units%Month, &
1176	range = data%BG%range%Month, &
1177	rec = irec)
1178	CALL ncdf_getvar('bg_day', data%BG%Day, &
1179	units = data%BG%units%Day, &
1180	range = data%BG%range%Day, &
1181	rec = irec)
1182	CALL ncdf_getvar('bg_hour', data%BG%Hour, &
1183	units = data%BG%units%Hour, &
1184	range = data%BG%range%Hour, &
1185	rec = irec)
1186	CALL ncdf_getvar('bg_minute', data%BG%Minute, &
1187	units = data%BG%units%Minute, &
1188	range = data%BG%range%Minute, &
1189	rec = irec)
1190	CALL ncdf_getvar('bg_fcperiod', data%BG%fcPeriod, &
1191	units = data%BG%units%fcPeriod, &
1192	range = data%BG%range%fcPeriod, &
1193	rec = irec)
1194	ENDIF
1195
1196	! 2.10 Level1a variables (if any)
1197	! ------------------------------
1198
1199	IF (ncdf_isvar('dtime')) THEN
1200	CALL ncdf_getsize('dtime', n, dim = 1)
1201	CALL ropp_io_init(data%Lev1a, n)
1202	ELSE
1203	data%Lev1a%Npoints = 0
1204	ENDIF
1205
1206	IF (data%Lev1a%Npoints > 0) THEN
1207
1208	CALL ncdf_getvar('dtime', data%Lev1a%dtime, &
1209	units = data%Lev1a%units%dtime, &
1210	range = data%Lev1a%range%dtime, &
1211	rec = irec)
1212	CALL ncdf_getvar('snr_L1ca', data%Lev1a%snr_L1ca, &
1213	units = data%Lev1a%units%snr, &
1214	range = data%Lev1a%range%snr, &
1215	rec = irec)
1216	CALL ncdf_getvar('snr_L1p', data%Lev1a%snr_L1p, &
1217	units = data%Lev1a%units%snr, &
1218	range = data%Lev1a%range%snr, &
1219	rec = irec)
1220	CALL ncdf_getvar('snr_L2p', data%Lev1a%snr_L2p, &
1221	units = data%Lev1a%units%snr, &
1222	range = data%Lev1a%range%snr, &
1223	rec = irec)
1224	CALL ncdf_getvar('phase_L1', data%Lev1a%phase_L1, &
1225	units = data%Lev1a%units%phase, &
1226	range = data%Lev1a%range%phase, &
1227	rec = irec)
1228	CALL ncdf_getvar('phase_L2', data%Lev1a%phase_L2, &
1229	units = data%Lev1a%units%phase, &
1230	range = data%Lev1a%range%phase, &
1231	rec = irec)
1232	CALL ncdf_getvar('r_gns', data%Lev1a%r_gns, &
1233	units = data%Lev1a%units%r_gns, &
1234	range = data%Lev1a%range%r_gns, &
1235	rec = irec)
1236	CALL ncdf_getvar('v_gns', data%Lev1a%v_gns, &
1237	units = data%Lev1a%units%v_gns, &
1238	range = data%Lev1a%range%v_gns, &
1239	rec = irec)
1240	CALL ncdf_getvar('r_leo', data%Lev1a%r_leo, &
1241	units = data%Lev1a%units%r_leo, &
1242	range = data%Lev1a%range%r_leo, &
1243	rec = irec)
1244	CALL ncdf_getvar('v_leo', data%Lev1a%v_leo, &
1245	units = data%Lev1a%units%v_leo, &
1246	range = data%Lev1a%range%v_leo, &
1247	rec = irec)
1248	CALL ncdf_getvar('phase_qual', data%Lev1a%phase_qual, &
1249	units = data%Lev1a%units%phase_qual, &
1250	range = data%Lev1a%range%phase_qual, &
1251	rec = irec)
1252
1253	! 2.10.1 Other attributes
1254
1255	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%r_gns, varname = 'r_gns')
1256	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%v_gns, varname = 'v_gns')
1257	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%r_leo, varname = 'r_leo')
1258	CALL ncdf_getatt('reference_frame', data%Lev1a%reference_frame%v_leo, varname = 'v_leo')
1259
1260	ENDIF
1261
1262	! 2.11 Level1b variables (if any)
1263	! -------------------------------
1264
1265	IF (ncdf_isvar('lat_tp')) THEN
1266	CALL ncdf_getsize('lat_tp', n, dim = 1)
1267	CALL ropp_io_init(data%Lev1b, n)
1268	ELSE
1269	data%Lev1b%Npoints = 0
1270	ENDIF
1271
1272	IF (data%Lev1b%Npoints > 0) THEN
1273
1274	CALL ncdf_getvar('lat_tp', data%Lev1b%lat_tp, &
1275	units = data%Lev1b%units%lat_tp, &
1276	range = data%Lev1b%range%lat_tp, &
1277	rec = irec)
1278	CALL ncdf_getvar('lon_tp', data%Lev1b%lon_tp, &
1279	units = data%Lev1b%units%lon_tp, &
1280	range = data%Lev1b%range%lon_tp, &
1281	rec = irec)
1282	CALL ncdf_getvar('azimuth_tp', data%Lev1b%azimuth_tp, &
1283	units = data%Lev1b%units%azimuth_tp, &
1284	range = data%Lev1b%range%azimuth_tp, &
1285	rec = irec)
1286
1287	CALL ncdf_getvar('impact_L1', data%Lev1b%impact_L1, &
1288	units = data%Lev1b%units%impact, &
1289	range = data%Lev1b%range%impact, &
1290	rec = irec)
1291	CALL ncdf_getvar('impact_L2', data%Lev1b%impact_L2, &
1292	units = data%Lev1b%units%impact, &
1293	range = data%Lev1b%range%impact, &
1294	rec = irec)
1295	CALL ncdf_getvar('impact', data%Lev1b%impact, &
1296	units = data%Lev1b%units%impact, &
1297	range = data%Lev1b%range%impact, &
1298	rec = irec)
1299	IF (ncdf_isvar('impact_opt')) & ! added at v1.1
1300	CALL ncdf_getvar('impact_opt', data%Lev1b%impact_opt, &
1301	units = data%Lev1b%units%impact, &
1302	range = data%Lev1b%range%impact, &
1303	rec = irec)
1304
1305	CALL ncdf_getvar('bangle_L1', data%Lev1b%bangle_L1, &
1306	units = data%Lev1b%units%bangle, &
1307	range = data%Lev1b%range%bangle, &
1308	rec = irec)
1309	CALL ncdf_getvar('bangle_L2', data%Lev1b%bangle_L2, &
1310	units = data%Lev1b%units%bangle, &
1311	range = data%Lev1b%range%bangle, &
1312	rec = irec)
1313	CALL ncdf_getvar('bangle', data%Lev1b%bangle, &
1314	units = data%Lev1b%units%bangle, &
1315	range = data%Lev1b%range%bangle, &
1316	rec = irec)
1317	IF (ncdf_isvar('bangle_opt')) & ! added at v1.1
1318	CALL ncdf_getvar('bangle_opt', data%Lev1b%bangle_opt, &
1319	units = data%Lev1b%units%bangle, &
1320	range = data%Lev1b%range%bangle, &
1321	rec = irec)
1322
1323	CALL ncdf_getvar('bangle_L1_sigma', data%Lev1b%bangle_L1_sigma, &
1324	units = data%Lev1b%units%bangle_sigma, &
1325	range = data%Lev1b%range%bangle_sigma, &
1326	rec = irec)
1327	CALL ncdf_getvar('bangle_L2_sigma', data%Lev1b%bangle_L2_sigma, &
1328	units = data%Lev1b%units%bangle_sigma, &
1329	range = data%Lev1b%range%bangle_sigma, &
1330	rec = irec)
1331	CALL ncdf_getvar('bangle_sigma', data%Lev1b%bangle_sigma, &
1332	units = data%Lev1b%units%bangle_sigma, &
1333	range = data%Lev1b%range%bangle_sigma, &
1334	rec = irec)
1335	IF (ncdf_isvar('bangle_opt_sigma')) & ! added at v1.1
1336	CALL ncdf_getvar('bangle_opt_sigma', data%Lev1b%bangle_opt_sigma, &
1337	units = data%Lev1b%units%bangle_sigma, &
1338	range = data%Lev1b%range%bangle_sigma, &
1339	rec = irec)
1340
1341	CALL ncdf_getvar('bangle_L1_qual', data%Lev1b%bangle_L1_qual, &
1342	units = data%Lev1b%units%bangle_qual, &
1343	range = data%Lev1b%range%bangle_qual, &
1344	rec = irec)
1345	CALL ncdf_getvar('bangle_L2_qual', data%Lev1b%bangle_L2_qual, &
1346	units = data%Lev1b%units%bangle_qual, &
1347	range = data%Lev1b%range%bangle_qual, &
1348	rec = irec)
1349	CALL ncdf_getvar('bangle_qual', data%Lev1b%bangle_qual, &
1350	units = data%Lev1b%units%bangle_qual, &
1351	range = data%Lev1b%range%bangle_qual, &
1352	rec = irec)
1353	IF (ncdf_isvar('bangle_opt_qual')) & ! added at v1.1
1354	CALL ncdf_getvar('bangle_opt_qual', data%Lev1b%bangle_opt_qual, &
1355	units = data%Lev1b%units%bangle_qual, &
1356	range = data%Lev1b%range%bangle_qual, &
1357	rec = irec)
1358	ENDIF
1359
1360	! 2.12 Level2a variables (if any)
1361	! -------------------------------
1362
1363	IF (ncdf_isvar('alt_refrac')) THEN
1364	CALL ncdf_getsize('alt_refrac', n, dim = 1)
1365	CALL ropp_io_init(data%Lev2a, n)
1366	ELSE
1367	data%Lev2a%Npoints = 0
1368	ENDIF
1369
1370	IF (data%Lev2a%Npoints > 0) THEN
1371
1372	CALL ncdf_getvar('alt_refrac', data%Lev2a%alt_refrac, &
1373	units = data%Lev2a%units%alt_refrac, &
1374	range = data%Lev2a%range%alt_refrac, &
1375	rec = irec)
1376	CALL ncdf_getvar('geop_refrac', data%Lev2a%geop_refrac, &
1377	units = data%Lev2a%units%geop_refrac, &
1378	range = data%Lev2a%range%geop_refrac, &
1379	rec = irec)
1380	CALL ncdf_getvar('refrac', data%Lev2a%refrac, &
1381	units = data%Lev2a%units%refrac, &
1382	range = data%Lev2a%range%refrac, &
1383	rec = irec)
1384	CALL ncdf_getvar('refrac_sigma', data%Lev2a%refrac_sigma, &
1385	units = data%Lev2a%units%refrac_sigma, &
1386	range = data%Lev2a%range%refrac_sigma, &
1387	rec = irec)
1388	CALL ncdf_getvar('refrac_qual', data%Lev2a%refrac_qual, &
1389	units = data%Lev2a%units%refrac_qual, &
1390	range = data%Lev2a%range%refrac_qual, &
1391	rec = irec)
1392	IF (ncdf_isvar('dry_temp')) THEN !For backward compatibility
1393	CALL ncdf_getvar('dry_temp', data%Lev2a%dry_temp, &
1394	units = data%Lev2a%units%dry_temp, &
1395	range = data%Lev2a%range%dry_temp, &
1396	rec = irec)
1397	CALL ncdf_getvar('dry_temp_sigma', data%Lev2a%dry_temp_sigma, &
1398	units = data%Lev2a%units%dry_temp_sigma, &
1399	range = data%Lev2a%range%dry_temp_sigma, &
1400	rec = irec)
1401	CALL ncdf_getvar('dry_temp_qual', data%Lev2a%dry_temp_qual, &
1402	units = data%Lev2a%units%dry_temp_qual, &
1403	range = data%Lev2a%range%dry_temp_qual, &
1404	rec = irec)
1405	ENDIF
1406
1407	ENDIF
1408
1409	! 2.13 Level2b variables (if any)
1410	! -------------------------------
1411
1412	IF (ncdf_isvar('geop')) THEN
1413	n2d(1) = 0
1414	n2d(2) = 0
1415	CALL ncdf_getsize('geop', n2d)
1416	CALL ropp_io_init(data%Lev2b, n2d)
1417	ELSE
1418	data%Lev2b%Npoints = 0
1419	data%Lev2b%Nhoriz = 0
1420	ENDIF
1421
1422	IF (data%Lev2b%Npoints > 0) THEN
1423
1424	CALL ncdf_getvar('geop', data%Lev2b%geop, &
1425	units = data%Lev2b%units%geop, &
1426	range = data%Lev2b%range%geop, &
1427	rec = irec)
1428	CALL ncdf_getvar('geop_sigma', data%Lev2b%geop_sigma, &
1429	units = data%Lev2b%units%geop_sigma, &
1430	range = data%Lev2b%range%geop_sigma, &
1431	rec = irec)
1432	CALL ncdf_getvar('press', data%Lev2b%press, &
1433	units = data%Lev2b%units%press, &
1434	range = data%Lev2b%range%press, &
1435	rec = irec)
1436	CALL ncdf_getvar('press_sigma', data%Lev2b%press_sigma, &
1437	units = data%Lev2b%units%press_sigma, &
1438	range = data%Lev2b%range%press_sigma, &
1439	rec = irec)
1440	CALL ncdf_getvar('temp', data%Lev2b%temp, &
1441	units = data%Lev2b%units%temp, &
1442	range = data%Lev2b%range%temp, &
1443	rec = irec)
1444	CALL ncdf_getvar('temp_sigma', data%Lev2b%temp_sigma, &
1445	units = data%Lev2b%units%temp_sigma, &
1446	range = data%Lev2b%range%temp_sigma, &
1447	rec = irec)
1448	CALL ncdf_getvar('shum', data%Lev2b%shum, &
1449	units = data%Lev2b%units%shum, &
1450	range = data%Lev2b%range%shum, &
1451	rec = irec)
1452	CALL ncdf_getvar('shum_sigma', data%Lev2b%shum_sigma, &
1453	units = data%Lev2b%units%shum_sigma, &
1454	range = data%Lev2b%range%shum_sigma, &
1455	rec = irec)
1456	CALL ncdf_getvar('meteo_qual', data%Lev2b%meteo_qual, &
1457	units = data%Lev2b%units%meteo_qual, &
1458	range = data%Lev2b%range%meteo_qual, &
1459	rec = irec)
1460
1461	ENDIF
1462
1463	! 2.14 Level2c variables (if any)
1464	! -------------------------------
1465
1466	IF (ncdf_isvar('geop_sfc')) THEN
1467	n2d(1) = 1
1468	n2d(2) = 0
1469	CALL ncdf_getsize('geop_sfc', n2d(2), dim = 1)
1470	CALL ropp_io_init(data%Lev2c, n2d)
1471	ELSE
1472	data%Lev2c%Npoints = 0
1473	data%Lev2c%Nhoriz = 0
1474	ENDIF
1475
1476	IF (data%Lev2c%Npoints > 0) THEN
1477
1478	! new 2d code
1479
1480	CALL ncdf_getvar('dtheta', data%Lev2c%dtheta, &
1481	units = data%Lev2c%units%dtheta, &
1482	range = data%Lev2c%range%dtheta, &
1483	rec = irec)
1484	CALL ncdf_getvar('lat_2d', data%Lev2c%lat_2d, &
1485	units = data%Lev2c%units%lat_2d, &
1486	range = data%Lev2c%range%lat_2d, &
1487	rec = irec)
1488	CALL ncdf_getvar('lon_2d', data%Lev2c%lon_2d, &
1489	units = data%Lev2c%units%lon_2d, &
1490	range = data%Lev2c%range%lon_2d, &
1491	rec = irec)
1492	CALL ncdf_getvar('geop_sfc', data%Lev2c%geop_sfc, &
1493	units = data%Lev2c%units%geop_sfc, &
1494	range = data%Lev2c%range%geop_sfc, &
1495	rec = irec)
1496	CALL ncdf_getvar('press_sfc', data%Lev2c%press_sfc, &
1497	units = data%Lev2c%units%press_sfc, &
1498	range = data%Lev2c%range%press_sfc, &
1499	rec = irec)
1500	CALL ncdf_getvar('press_sfc_sigma', data%Lev2c%press_sfc_sigma, &
1501	units = data%Lev2c%units%press_sfc_sigma, &
1502	range = data%Lev2c%range%press_sfc_sigma, &
1503	rec = irec)
1504	CALL ncdf_getvar('press_sfc_qual', data%Lev2c%press_sfc_qual, &
1505	units = data%Lev2c%units%press_sfc_qual, &
1506	range = data%Lev2c%range%press_sfc_qual, &
1507	rec = irec)
1508	ENDIF
1509
1510	! 2.15 Level2d variables (if any)
1511	! -------------------------------
1512
1513	IF (ncdf_isvar('level_coeff_a')) THEN
1514	CALL ncdf_getsize('level_coeff_a', n, dim = 1)
1515	CALL ropp_io_init(data%Lev2d, n)
1516	ELSE
1517	data%Lev2d%Npoints = 0
1518	ENDIF
1519
1520	IF (data%Lev2d%Npoints > 0) THEN
1521
1522	CALL ncdf_getvar('level_type', data%Lev2d%level_type, &
1523	rec = irec)
1524	CALL ncdf_getvar('level_coeff_a', data%Lev2d%level_coeff_a, &
1525	units = data%Lev2d%units%level_coeff_a, &
1526	range = data%Lev2d%range%level_coeff_a, &
1527	rec = irec)
1528	CALL ncdf_getvar('level_coeff_b', data%Lev2d%level_coeff_b, &
1529	units = data%Lev2d%units%level_coeff_b, &
1530	range = data%Lev2d%range%level_coeff_b, &
1531	rec = irec)
1532	ENDIF
1533
1534	! 2.16 Additional variables (if any)
1535	! ----------------------------------
1536
1537	CALL ropp_io_init(data%vlist)
1538
1539	DO varid=1,ncdf_nvars
1540
1541	IF(.NOT. ncdf_read(varid))THEN
1542
1543	status = nf90_inquire_variable(ncdf_ncid, varid, xtype=TYPE, ndims=ndim)
1544
1545	IF (TYPE .NE. NF90_CHAR) THEN ! only read scalar variables
1546
1547	IF(ndim == 1)THEN
1548	CALL ropp_io_read_ncdf_get_vlistD0d(varid, data%vlist%VlistD0d, irec)
1549	ENDIF
1550	IF(ndim == 2)THEN
1551	CALL ropp_io_read_ncdf_get_vlistD1d(varid, data%vlist%VlistD1d, irec)
1552	ENDIF
1553	IF(ndim == 3)THEN
1554	CALL ropp_io_read_ncdf_get_vlistD2d(varid, data%vlist%VlistD2d, irec)
1555	ENDIF
1556	ENDIF
1557
1558	ENDIF
1559
1560	ncdf_read(varid) = .FALSE. ! reset 'read variable' flag
1561
1562	ENDDO
1563
1564	! 2.17 Clean up
1565	! -------------
1566
1567	CALL message_set_routine(routine)
1568
1569	END SUBROUTINE ropp_io_read_ncdf_get_rodata_2d
1570
1571
1572	!-------------------------------------------------------------------------------
1573	! 3. Error correlation and covariance matrices
1574	!-------------------------------------------------------------------------------
1575
1576	SUBROUTINE ropp_io_read_ncdf_get_rocorcov(DATA)
1577
1578	! 3.1 Declarations
1579	! ----------------
1580
1581	USE ropp_utils
1582	USE ncdf
1583	USE ropp_io, not_this => ropp_io_read_ncdf_get_rocorcov
1584	USE ropp_io_types, ONLY: ROcorcov
1585
1586	IMPLICIT NONE
1587
1588	TYPE(ROcorcov), DIMENSION(:), POINTER :: DATA
1589
1590	REAL(wp), DIMENSION(:), POINTER :: lat_min => null()
1591	REAL(wp), DIMENSION(:), POINTER :: lat_max => null()
1592	REAL(wp), DIMENSION(:,:), POINTER :: corr => null()
1593	REAL(wp), DIMENSION(:,:), POINTER :: sigma => null()
1594
1595	INTEGER :: i, m, n
1596	CHARACTER(len = 256) :: routine
1597
1598	! 3.2 Error handling
1599	! ------------------
1600
1601	CALL message_get_routine(routine)
1602	CALL message_set_routine('ropp_io_read_ncdf_get')
1603
1604	! 3.3 Latitude bins
1605	! -----------------
1606
1607	IF (ncdf_isvar('lat_min') .AND. ncdf_isvar('lat_max')) THEN
1608	CALL ncdf_getsize('lat_min', m)
1609	CALL ncdf_getsize('lat_max', n)
1610	ELSE
1611	CALL message(msg_fatal, &
1612	"NetCDF data file does not seem to contain an error correlation or covariance structure.")
1613	ENDIF
1614
1615	IF (m /= m) THEN
1616	CALL message(msg_fatal, &
1617	"Number of latitude bin boundaries in the netCDF data file is inconsistent.")
1618	ENDIF
1619
1620	CALL ncdf_getvar_alloc('lat_min', lat_min)
1621	CALL ncdf_getvar_alloc('lat_max', lat_max)
1622
1623	! 3.4 Error correlation matrices
1624	! ------------------------------
1625
1626	IF (ncdf_isvar('corr')) THEN
1627	CALL ncdf_getvar_alloc('corr', corr)
1628	ELSE
1629	CALL message(msg_fatal, &
1630	"NetCDF data file does not seem to contain an error correlation matrix.")
1631	ENDIF
1632
1633	! 3.5 Error standard deviations
1634	! -----------------------------
1635
1636	IF (ncdf_isvar('sigma')) THEN
1637	CALL ncdf_getvar_alloc('sigma', sigma)
1638	ENDIF
1639
1640	! 3.6 Allocate and fill ROPP structure
1641	! ------------------------------------
1642
1643	ALLOCATE(DATA(n))
1644
1645	DO i = 1, n
1646
1647	DATA(i)%lat_min = lat_min(i)
1648	DATA(i)%lat_max = lat_max(i)
1649
1650	ALLOCATE(DATA(i)%corr(SIZE(corr(:,i), 1)))
1651	DATA(i)%corr = corr(:,i)
1652
1653	IF (ASSOCIATED(sigma)) THEN
1654	ALLOCATE(DATA(i)%sigma(SIZE(sigma(:,i), 1)))
1655	DATA(i)%sigma = sigma(:, i)
1656	ENDIF
1657
1658	ENDDO
1659
1660	! 3.7 Clean up
1661	! ------------
1662
1663	DEALLOCATE(lat_min)
1664	DEALLOCATE(lat_max)
1665	DEALLOCATE(corr)
1666	IF (ASSOCIATED(sigma)) DEALLOCATE(sigma)
1667
1668	CALL message_set_routine(routine)
1669
1670	END SUBROUTINE ropp_io_read_ncdf_get_rocorcov
1671
1672	!-------------------------------------------------------------------------------
1673	! 4. wrapper for other centres' RO data
1674	!-------------------------------------------------------------------------------
1675
1676	SUBROUTINE ropp_io_read_ncdf_get_otherdata(DATA, file, centre, rec, resolution, getlevel1a, getbufr)
1677
1678	! 4.1 Declarations
1679	! ----------------
1680
1681	USE ropp_io, not_this => ropp_io_read_ncdf_get_otherdata
1682	USE ropp_io_types, ONLY: ROprof
1683
1684	IMPLICIT NONE
1685
1686	TYPE(ROprof), INTENT(inout) :: DATA
1687	CHARACTER (len = *), INTENT(in) :: file
1688	CHARACTER (len=20), INTENT(in) :: centre
1689	INTEGER, OPTIONAL :: rec
1690	CHARACTER (len=20), OPTIONAL :: resolution
1691	LOGICAL, OPTIONAL :: getlevel1a
1692	LOGICAL, OPTIONAL :: getbufr
1693
1694	CHARACTER (len=20) :: lresolution = 'thinned'
1695	LOGICAL :: lgetlevel1a = .FALSE.
1696	LOGICAL :: lgetbufr = .FALSE.
1697	LOGICAL :: ldummy = .FALSE.
1698
1699	! defaults
1700	IF (PRESENT(resolution)) lresolution=resolution
1701	IF (PRESENT(getlevel1a)) lgetlevel1a=getlevel1a
1702	IF (PRESENT(getbufr)) lgetbufr=getbufr
1703
1704	! call the appropriate data handling function, default is ROPP format
1705	SELECT CASE (centre)
1706	CASE('UCAR')
1707	CALL ropp_io_read_ncdf_get_ucardata(DATA, file)
1708	CASE('EUM')
1709	CALL ropp_io_read_ncdf_get_eumdata(DATA, file, lresolution, lgetlevel1a, lgetbufr, ldummy)
1710	CASE default
1711	CALL ropp_io_read_ncdf_get_rodata(DATA, rec)
1712	END SELECT
1713
1714	END SUBROUTINE ropp_io_read_ncdf_get_otherdata
1715
1716	!-------------------------------------------------------------------------------
1717	! 5. UCAR RO data
1718	!-------------------------------------------------------------------------------
1719
1720	SUBROUTINE ropp_io_read_ncdf_get_ucardata(DATA, file)
1721
1722	! 5.1 Declarations
1723	! ----------------
1724
1725	USE ncdf
1726	USE ropp_utils
1727	USE ropp_io_types, ONLY: ROprof
1728
1729	IMPLICIT NONE
1730
1731	TYPE(ROprof), INTENT(inout) :: DATA
1732	CHARACTER(len = *), INTENT(in) :: file
1733	CHARACTER(len = 256) :: routine
1734
1735	! 5.2 Error handling
1736	! ------------------
1737
1738	CALL message_get_routine(routine)
1739	CALL message_set_routine('ropp_io_read_ucardata')
1740
1741	! 5.3 Identify file type
1742	! ----------------------
1743
1744	IF (ncdf_isvar('Bend_ang') .AND. &
1745	(ncdf_isvar('Impact_parm') .OR. ncdf_isvar('Impact_height'))) THEN
1746	CALL ropp_io_read_ucardata_atmPrf(DATA, file)
1747	ELSE IF (ncdf_isvar('pL1Snr') .AND. ncdf_isvar('pL2Snr')) THEN
1748	CALL ropp_io_read_ucardata_atmPhs(DATA, file)
1749	ELSE IF (ncdf_isvar('MSL_alt') .AND. ncdf_isvar ('Pres')) THEN
1750	CALL ropp_io_read_ucardata_atmPrf(DATA, file)
1751	ELSE
1752	CALL message(msg_fatal, &
1753	"Routine ropp_io_read_ncdf_get_ucardata does not support this" // &
1754	"file type. Only atmPrf, ecmPrf, gfsPrf, ncpPrf, sonPrf and atmPhs "// &
1755	"files supported. Check input file type.")
1756	ENDIF
1757
1758	CALL message_set_routine(routine)
1759
1760	CONTAINS
1761
1762	!-------------------------------------------------------------------------------
1763	! 6. UCAR RO data - atmPrf files
1764	!-------------------------------------------------------------------------------
1765
1766	SUBROUTINE ropp_io_read_ucardata_atmPrf(DATA, file)
1767
1768	! NB this routine only supports UCAR 'Prf' format netCDF files
1769	! (i.e. atmPrf, ecmPrf, gfsPrf, ncpPrf and sonPrf)
1770	! See: http://cosmic-io.cosmic.ucar.edu/cdaac/fileFormats/atmPrf.html
1771
1772	! 6.1 Declarations
1773	! ----------------
1774
1775	USE DateTimeProgs, ONLY: Date_and_Time_UTC
1776	USE DateTimeTypes
1777	USE ropp_utils
1778	USE ncdf
1779	USE ropp_io
1780	USE ropp_io_types, ONLY: ROprof, &
1781	ThisFmtVer, &
1782	PCD_open_loop, &
1783	PCD_rising, &
1784	PCD_occultation
1785	USE geodesy, ONLY: geometric2geopotential
1786
1787	IMPLICIT NONE
1788
1789	TYPE(ROprof), INTENT(inout) :: DATA
1790	CHARACTER(len = *), INTENT(in) :: file
1791
1792	INTEGER :: n
1793	INTEGER :: readint
1794	REAL(wp) :: readreal
1795	CHARACTER (len = 256) :: readstr
1796
1797	REAL(wp), PARAMETER :: g_wmo = 9.80665_wp
1798	REAL(wp), PARAMETER :: epsilon_water = 0.621971_wp
1799	INTEGER, DIMENSION(8) :: DTnow
1800
1801	! holds where output
1802	! INTEGER, DIMENSION(:), POINTER :: idx => null()
1803	INTEGER :: nidx
1804
1805	! 6.3 Header variables
1806	! --------------------
1807
1808	readstr = ' '
1809	CALL ncdf_getatt('fileStamp', readstr)
1810	data%leo_id = readstr(1:4)
1811	CALL ncdf_getatt('occulting_sat_id', readint)
1812	WRITE(data%gns_id,'(A1,I3.3)') 'G', readint
1813	readstr = ' '
1814	CALL ncdf_getatt('fiducial_id', readstr)
1815	IF(readstr /= " ") data%stn_id = readstr(1:4)
1816
1817	! 6.4 Overall quality
1818	! -------------------
1819
1820	IF (ncdf_isvar('Bend_ang') .AND. &
1821	(ncdf_isvar('Impact_parm') .OR. ncdf_isvar('Impact_height'))) THEN
1822	CALL ncdf_getatt('bad', readstr)
1823	data%PCD = 0
1824	IF (TRIM(readstr) == "0") THEN
1825	data%PCD = 0
1826	data%overall_qual = 100.0
1827	END IF
1828	IF (TRIM(readstr) == "1") THEN
1829	data%PCD = 1 ! non nominal
1830	data%overall_qual = 0.0
1831	END IF
1832	data%units%overall_qual = "%"
1833	IF (ncdf_isatt('iol') .AND. ncdf_isatt('irs')) THEN
1834	CALL ncdf_getatt('iol', readint)
1835	IF (readint == 1) &
1836	data%PCD = IBSET(data%PCD, PCD_open_loop) ! open loop used
1837	CALL ncdf_getatt('irs', readint)
1838	IF (readint == -1) &
1839	data%PCD = IBSET(data%PCD, PCD_rising) ! rising occultation
1840	ENDIF
1841	ELSE
1842	data%PCD = 0
1843	data%PCD = IBSET(data%PCD, PCD_occultation) ! background data
1844	ENDIF
1845
1846	! 6.5 Date and time
1847	! -----------------
1848
1849	CALL gettime(data%DTocc)
1850
1851	! 6.6 Georeferencing
1852	! ------------------
1853
1854	CALL ncdf_getatt('lat', data%georef%lat)
1855	data%georef%units%lat = "degrees_north"
1856
1857	CALL ncdf_getatt('lon', data%georef%lon)
1858	data%georef%units%lon = "degrees_east"
1859
1860	IF (ncdf_isvar('Bend_ang') .AND. &
1861	(ncdf_isvar('Impact_parm') .OR. ncdf_isvar('Impact_height'))) THEN
1862
1863	CALL ncdf_getatt('occpt_offset', data%georef%time_offset)
1864	data%georef%units%time_offset = "seconds"
1865
1866	CALL ncdf_getatt('rgeoid', data%georef%Undulation)
1867	data%georef%Undulation = data%georef%Undulation * 1000.0
1868	data%georef%units%Undulation = "meters"
1869
1870	CALL ncdf_getatt('rfict', data%georef%roc)
1871	data%georef%roc = data%georef%roc * 1000.0
1872	data%georef%units%roc = "meters"
1873
1874	CALL ncdf_getatt('curv', data%georef%r_coc)
1875	data%georef%r_coc = data%georef%r_coc * 1000.0
1876	data%georef%units%r_coc = "meters"
1877
1878	CALL ncdf_getatt('azim', data%georef%azimuth)
1879	IF ((data%georef%azimuth < 0.0) .AND. &
1880	(data%georef%azimuth > -180.0)) &
1881	data%georef%azimuth = data%georef%azimuth + 360.0
1882	data%georef%units%azimuth = "degrees"
1883
1884	ENDIF
1885
1886	! 6.7 Level1b variables (if any)
1887	! -------------------------------
1888
1889	IF (ncdf_isvar('Bend_ang') .AND. &
1890	(ncdf_isvar('Impact_parm') .OR. ncdf_isvar('Impact_height'))) THEN
1891	CALL ncdf_getsize('Bend_ang', n, dim = 1)
1892	CALL ropp_io_init(data%Lev1b, n)
1893	ELSE
1894	data%Lev1b%Npoints = 0
1895	ENDIF
1896
1897	IF (data%Lev1b%Npoints > 0) THEN
1898
1899	CALL ncdf_getvar('Lat', data%Lev1b%lat_tp)
1900	data%Lev1b%units%lat_tp = "degrees_north"
1901
1902	CALL ncdf_getvar('Lon', data%Lev1b%lon_tp)
1903	data%Lev1b%units%lon_tp = "degrees_east"
1904
1905	CALL ncdf_getvar('Azim', data%Lev1b%azimuth_tp)
1906	! idx => WHERE( (data%Lev1b%azimuth_tp < 0.0) .AND. &
1907	! (data%Lev1b%azimuth_tp > -180.0), nidx)
1908	! IF (nidx > 0) data%Lev1b%azimuth_tp(idx) = data%Lev1b%azimuth_tp(idx) + 360.0
1909	WHERE ( (data%Lev1b%azimuth_tp < 0.0) .AND. &
1910	(data%Lev1b%azimuth_tp > -180.0) ) &
1911	data%Lev1b%azimuth_tp = data%Lev1b%azimuth_tp + 360.0
1912	data%Lev1b%units%azimuth_tp = "degrees"
1913
1914	IF (ncdf_isvar('Impact_parm')) THEN
1915
1916	CALL ncdf_getvar('Impact_parm', data%Lev1b%impact, &
1917	units = data%Lev1b%units%impact)
1918
1919	ELSE ! If both are present, use Impact_parm
1920
1921	IF (ncdf_isvar('Impact_height')) THEN
1922
1923	CALL ncdf_getvar('Impact_height', data%Lev1b%impact, &
1924	units = data%Lev1b%units%impact)
1925	data%Lev1b%impact = data%Lev1b%impact + data%georef%roc ! Both are in m at this point
1926
1927	END IF
1928
1929	END IF
1930
1931	data%lev1b%impact_opt = data%Lev1b%impact
1932
1933	CALL ncdf_getvar('Bend_ang', data%Lev1b%bangle)
1934	data%Lev1b%units%bangle = "radians"
1935
1936	CALL ncdf_getvar('Opt_bend_ang', data%Lev1b%bangle_opt)
1937
1938	CALL ncdf_getvar('Bend_ang_stdv', data%Lev1b%bangle_sigma)
1939	data%Lev1b%units%bangle_sigma = "radians"
1940
1941	data%Lev1b%bangle_opt_sigma = data%Lev1b%bangle_sigma
1942
1943	! set the quality for bangle
1944	CALL ncdf_getatt('_FillValue', readreal, 'Opt_bend_ang')
1945	! idx => WHERE( data%Lev1b%bangle > readreal, nidx)
1946	! IF (nidx > 0) data%Lev1b%bangle_qual(idx) = 100.0
1947	WHERE (data%Lev1b%bangle > readreal) &
1948	data%Lev1b%bangle_qual = 100.0
1949	data%Lev1b%bangle_opt_qual = data%Lev1b%bangle_qual
1950
1951	ENDIF
1952
1953	! 6.8 Level2a variables (if any)
1954	! -------------------------------
1955
1956	IF (ncdf_isvar('MSL_alt') .AND. ncdf_isvar('Ref')) THEN
1957	CALL ncdf_getsize('MSL_alt', n, dim = 1)
1958	CALL ropp_io_init(data%Lev2a, n)
1959	ELSE
1960	data%Lev2a%Npoints = 0
1961	ENDIF
1962
1963	IF (data%Lev2a%Npoints > 0) THEN
1964
1965	CALL ncdf_getvar('MSL_alt', data%Lev2a%alt_refrac, &
1966	units = data%Lev2a%units%alt_refrac)
1967	! geopotential not in UCAR files - generate from altitude
1968	! idx => WHERE((data%Lev2a%alt_refrac > -999.0), nidx)
1969	! IF (nidx > 0 .AND. &
1970	! data%georef%lat > -999.0) &
1971	! data%Lev2a%geop_refrac(idx) = geometric2geopotential(data%georef%lat, &
1972	! data%Lev2a%alt_refrac(idx))
1973	IF (data%georef%lat > -999.0) THEN
1974	WHERE(data%Lev2a%alt_refrac > -999.0) &
1975	data%Lev2a%geop_refrac = geometric2geopotential(data%georef%lat, &
1976	data%Lev2a%alt_refrac)
1977	ENDIF
1978
1979	CALL ncdf_getvar('Ref', data%Lev2a%refrac)
1980	data%Lev2a%units%refrac = "1"
1981
1982	IF (ncdf_isvar('Ref_stdv')) THEN
1983	CALL ncdf_getvar('Ref_stdv', data%Lev2a%refrac_sigma)
1984	data%Lev2a%units%refrac_sigma = "1"
1985
1986	! set the quality for ref
1987	CALL ncdf_getatt('_FillValue', readreal, 'Ref' )
1988	! idx => WHERE( data%Lev2a%refrac > readreal, nidx)
1989	! IF (nidx > 0) data%Lev2a%refrac_qual(idx) = 100.0
1990	WHERE( data%Lev2a%refrac > readreal) &
1991	data%Lev2a%refrac_qual = 100.0
1992	ENDIF
1993
1994	!! include dry temperature in Level 2a - if variable 'Bend_ang' exists, the
1995	!! UCAR file is an atmPrf file, and the 'Temp' variable is actually dry temperature.
1996	IF (ncdf_isvar('Temp') .AND. ncdf_isvar('Bend_ang')) THEN
1997
1998	CALL ncdf_getvar('Temp', data%Lev2a%dry_temp)
1999
2000	! idx => WHERE((data%Lev2a%dry_temp > -999.0), nidx)
2001	! IF (nidx > 0) THEN
2002	! data%Lev2a%dry_temp(idx) = data%Lev2a%dry_temp(idx) + 273.15_wp
2003	! ENDIF
2004	WHERE(data%Lev2a%dry_temp > -999.0) &
2005	data%Lev2a%dry_temp = data%Lev2a%dry_temp + 273.15_wp
2006	data%Lev2a%units%dry_temp = "kelvin"
2007
2008	END IF
2009
2010	ENDIF
2011
2012	! 6.9 Level2b variables (if any)
2013	! -------------------------------
2014
2015	IF (ncdf_isvar('MSL_alt') .AND. ncdf_isvar('Pres')) THEN
2016	CALL ncdf_getsize('MSL_alt', n, dim = 1)
2017	CALL ropp_io_init(data%Lev2b, n)
2018	ELSE
2019	data%Lev2b%Npoints = 0
2020	ENDIF
2021
2022	IF (data%Lev2b%Npoints > 0) THEN
2023
2024	CALL ncdf_getvar('Pres', data%Lev2b%press)
2025	data%Lev2b%units%press = "hPa"
2026	CALL ncdf_getvar('Temp', data%Lev2b%temp)
2027	! idx => WHERE(data%Lev2b%temp > -999.0, nidx)
2028	! IF (nidx > 0) data%Lev2b%temp(idx) = data%Lev2b%temp(idx) + 273.15_wp
2029	WHERE (data%Lev2b%temp > -999.0) &
2030	data%Lev2b%temp = data%Lev2b%temp + 273.15_wp
2031	data%Lev2b%units%temp = "kelvin"
2032
2033	IF (ncdf_isvar('Vp')) THEN
2034	CALL ncdf_getvar('Vp', data%Lev2b%shum)
2035	! idx => WHERE(data%Lev2b%shum > -999.0, nidx)
2036	! IF (nidx > 0) data%Lev2b%shum(idx) = &
2037	! (data%Lev2b%shum(idx)*epsilon_water) / &
2038	! (data%Lev2b%press(idx) - &
2039	! (data%Lev2b%shum(idx)*(1.0_wp - epsilon_water)))
2040	WHERE (data%Lev2b%shum > -999.0) &
2041	data%Lev2b%shum = &
2042	(data%Lev2b%shum*epsilon_water) / &
2043	(data%Lev2b%press - &
2044	(data%Lev2b%shum*(1.0_wp - epsilon_water)))
2045	data%Lev2b%units%shum = "kilogram/kilogram"
2046	ENDIF
2047
2048	! get the geopotential from L2a
2049	CALL ncdf_getvar('MSL_alt', data%Lev2b%geop, units = 'metres')
2050	data%Lev2b%geop = geometric2geopotential(data%georef%lat,data%Lev2b%geop)
2051
2052	! background time
2053	data%bg%Year = data%DTocc%Year
2054	data%bg%Month = data%DTocc%Month
2055	data%bg%Day = data%DTocc%Day
2056	data%bg%Hour = data%DTocc%Hour
2057	data%bg%Minute = data%DTocc%Minute
2058	nidx = INDEX(file, 'Prf_', .TRUE.)
2059	IF ( nidx > 3 ) data%bg%source = file(nidx-3:nidx-1) ! read from filename
2060
2061	ENDIF
2062
2063	! 6.10 (Global) Attributes
2064	! ------------------------
2065
2066	data%FmtVersion = ' ' ; data%FmtVersion = ThisFmtVer
2067	data%processing_centre = ' ' ; CALL ncdf_getatt('center', data%processing_centre)
2068	data%pod_method = ' ' ; data%pod_method = "UNKNOWN"
2069	data%phase_method = ' ' ; data%phase_method = "UNKNOWN"
2070	data%bangle_method = ' ' ; data%bangle_method = "UNKNOWN"
2071	data%refrac_method = ' ' ; data%refrac_method = "UNKNOWN"
2072	data%meteo_method = ' ' ; data%meteo_method = "UNKNOWN"
2073	data%thin_method = ' ' ; data%thin_method = "UNKNOWN"
2074	data%software_version = ' ' ; data%software_version = "UNKNOWN"
2075	nidx = INDEX(file, 'Prf_', .TRUE.)
2076	IF ( nidx > 0 ) & ! VNN.nnn from file name
2077	data%software_version = "V" // file(nidx+38:nidx+39) // &
2078	"." // file(nidx+32:nidx+34)
2079
2080	! COSMIC has no processing date, set to current utc date/time
2081	CALL Date_and_Time_UTC ( Values=DTnow )
2082	data%DTpro%Year = DTnow(1)
2083	data%DTpro%Month = DTnow(2)
2084	data%DTpro%Day = DTnow(3)
2085	data%DTpro%Hour = DTnow(5)
2086	data%DTpro%Minute = DTnow(6)
2087	data%DTpro%Second = DTnow(7)
2088	data%DTpro%Msec = DTnow(8)
2089
2090	! 6.11 Occultation ID
2091	! -------------------
2092
2093	CALL ropp_io_occid(DATA)
2094
2095	! 6.12 Clean up
2096	! -------------
2097
2098	! IF (ASSOCIATED(idx)) DEALLOCATE(idx)
2099
2100	END SUBROUTINE ropp_io_read_ucardata_atmPrf
2101
2102	!-------------------------------------------------------------------------------
2103	! 7. UCAR RO data - atmPhs files
2104	!-------------------------------------------------------------------------------
2105
2106	SUBROUTINE ropp_io_read_ucardata_atmPhs(DATA, file)
2107
2108	! NB this routine only supports UCAR atmPhs netCDF files,
2109	! See: http://cosmic-io.cosmic.ucar.edu/cdaac/fileFormats/atmPhs.html
2110
2111	! 7.1 Declarations
2112	! ----------------
2113
2114	USE DateTimeProgs, ONLY: Date_and_Time_UTC
2115	USE DateTimeTypes
2116	USE ropp_utils
2117	USE ncdf
2118	USE ropp_io
2119	USE ropp_io_types, ONLY: ROprof, &
2120	ThisFmtVer
2121
2122	IMPLICIT NONE
2123
2124	TYPE(ROprof), INTENT(inout) :: DATA
2125	CHARACTER(len = *), INTENT(in) :: file
2126
2127	INTEGER :: n
2128	INTEGER :: readint
2129	REAL(wp) :: readreal
2130	CHARACTER (len = 256) :: readstr
2131
2132	REAL(wp), PARAMETER :: g_wmo = 9.80665
2133	INTEGER, DIMENSION(8) :: DTnow
2134
2135	REAL(wp), DIMENSION(:), ALLOCATABLE :: workdata
2136
2137	! holds where output
2138	! INTEGER, DIMENSION(:), POINTER :: idx => null()
2139	INTEGER :: nidx
2140
2141	! 7.3 Header variables
2142	! --------------------
2143
2144	readstr = ' '
2145	CALL ncdf_getatt('fileStamp', readstr)
2146	data%leo_id = readstr(1:4)
2147	CALL ncdf_getatt('occsatId', readint)
2148	WRITE(data%gns_id,'(A1,I3.3)') 'G', readint
2149	readstr = ' '
2150	data%stn_id = ' '
2151
2152	! 7.4 Date and time
2153	! -----------------
2154
2155	CALL gettime(data%DTocc)
2156
2157	! 7.5 Overall quality
2158	! -------------------
2159
2160	CALL ncdf_getatt('bad', readstr)
2161	data%PCD = 0
2162	IF (TRIM(readstr) == "0") THEN
2163	data%PCD = 0
2164	data%overall_qual = 100.0
2165	END IF
2166	IF (TRIM(readstr) == "1") THEN
2167	data%PCD = 1 ! non nominal
2168	data%overall_qual = 0.0
2169	END IF
2170	data%units%overall_qual = "%"
2171
2172	! 7.6 Level1a variables (if any)
2173	! -------------------------------
2174
2175	IF (ncdf_isvar('time')) THEN
2176	CALL ncdf_getsize('time', n, dim = 1)
2177	CALL ropp_io_init(data%Lev1a, n)
2178	ELSE
2179	data%Lev1a%Npoints = 0
2180	ENDIF
2181
2182	IF (data%Lev1a%Npoints > 0) THEN
2183
2184	CALL ncdf_getvar('time', data%Lev1a%dtime)
2185	CALL ncdf_getvar('caL1Snr', data%Lev1a%snr_L1ca)
2186	CALL ncdf_getvar('pL1Snr', data%Lev1a%snr_L1p)
2187	CALL ncdf_getvar('pL2Snr', data%Lev1a%snr_L2p)
2188	data%Lev1a%units%snr = "volt/volt"
2189
2190	CALL ncdf_getvar('xLeo', data%Lev1a%r_leo(:,1))
2191	CALL ncdf_getvar('yLeo', data%Lev1a%r_leo(:,2))
2192	CALL ncdf_getvar('zLeo', data%Lev1a%r_leo(:,3))
2193	data%Lev1a%r_leo(:,:) = data%Lev1a%r_leo(:,:) * 1000.0_wp
2194	data%Lev1a%units%r_leo = "metres"
2195	data%Lev1a%reference_frame%r_leo = "ECI"
2196
2197	CALL ncdf_getvar('xdLeo', data%Lev1a%v_leo(:,1))
2198	CALL ncdf_getvar('ydLeo', data%Lev1a%v_leo(:,2))
2199	CALL ncdf_getvar('zdLeo', data%Lev1a%v_leo(:,3))
2200	data%Lev1a%v_leo(:,:) = data%Lev1a%v_leo(:,:) * 1000.0_wp
2201	data%Lev1a%units%v_leo = "metres / seconds"
2202
2203	CALL ncdf_getvar('xGps', data%Lev1a%r_gns(:,1))
2204	CALL ncdf_getvar('yGps', data%Lev1a%r_gns(:,2))
2205	CALL ncdf_getvar('zGps', data%Lev1a%r_gns(:,3))
2206	data%Lev1a%r_gns(:,:) = data%Lev1a%r_gns(:,:) * 1000.0_wp
2207	data%Lev1a%units%r_gns = "metres"
2208	data%Lev1a%reference_frame%r_gns = "ECI"
2209
2210	CALL ncdf_getvar('xdGps', data%Lev1a%v_gns(:,1))
2211	CALL ncdf_getvar('ydGps', data%Lev1a%v_gns(:,2))
2212	CALL ncdf_getvar('zdGps', data%Lev1a%v_gns(:,3))
2213	data%Lev1a%v_gns(:,:) = data%Lev1a%v_gns(:,:) * 1000.0_wp
2214	data%Lev1a%units%v_gns = "metres / seconds"
2215
2216	CALL ncdf_getvar('exL1', data%Lev1a%phase_L1)
2217	CALL ncdf_getvar('exL2', data%Lev1a%phase_L2)
2218	data%Lev1a%units%phase = "metres"
2219
2220	! open loop phase model data
2221	ALLOCATE(workdata(data%Lev1a%Npoints))
2222	CALL ncdf_getvar('xmdl', workdata)
2223	CALL ropp_io_addvar_rodataD1d(DATA, &
2224	name = "open_loop_lcf", &
2225	long_name= "Lost Carrier Flag", &
2226	units = "metres", &
2227	range = (/-1000000.0_wp, 1000000.0_wp/), &
2228	DATA = workdata)
2229	DEALLOCATE(workdata)
2230
2231	! set the quality for phase
2232	CALL ncdf_getatt('_FillValue', readreal, 'exL1')
2233	! idx => WHERE( data%Lev1a%phase_L1 > readreal, nidx)
2234	! IF (nidx > 0) data%Lev1a%phase_qual(idx) = 100.0
2235	WHERE (data%Lev1a%phase_L1 > readreal) &
2236	data%Lev1a%phase_qual = 100.0
2237	ENDIF
2238
2239	! 7.7 (Global) Attributes
2240	! ------------------------
2241
2242	data%FmtVersion = ' ' ; data%FmtVersion = ThisFmtVer
2243	data%processing_centre = ' ' ; CALL ncdf_getatt('center', data%processing_centre)
2244	data%pod_method = ' ' ; data%pod_method = "UNKNOWN"
2245	data%phase_method = ' ' ; data%phase_method = "UNKNOWN"
2246	data%bangle_method = ' ' ; data%bangle_method = "UNKNOWN"
2247	data%refrac_method = ' ' ; data%refrac_method = "UNKNOWN"
2248	data%meteo_method = ' ' ; data%meteo_method = "UNKNOWN"
2249	data%thin_method = ' ' ; data%thin_method = "UNKNOWN"
2250	data%software_version = ' ' ; data%software_version = "UNKNOWN"
2251	nidx = INDEX(file, 'atmPhs_', .TRUE.)
2252	IF ( nidx > 0 ) & ! VNN.nnn from file name
2253	data%software_version = "V" // file(nidx+38:nidx+39) // &
2254	"." // file(nidx+32:nidx+34)
2255
2256	! COSMIC has no processing date, set to current utc date/time
2257	CALL Date_and_Time_UTC ( Values=DTnow )
2258	data%DTpro%Year = DTnow(1)
2259	data%DTpro%Month = DTnow(2)
2260	data%DTpro%Day = DTnow(3)
2261	data%DTpro%Hour = DTnow(5)
2262	data%DTpro%Minute = DTnow(6)
2263	data%DTpro%Second = DTnow(7)
2264	data%DTpro%Msec = DTnow(8)
2265
2266	! 7.8 Occultation ID
2267	! -------------------
2268
2269	CALL ropp_io_occid(DATA)
2270
2271	! 7.9 Clean up
2272	! -------------
2273
2274	! IF (ASSOCIATED(idx)) DEALLOCATE(idx)
2275	CALL message_set_routine(routine)
2276
2277	END SUBROUTINE ropp_io_read_ucardata_atmPhs
2278
2279	SUBROUTINE gettime(DTocc)
2280
2281	USE ropp_io_types, ONLY: DT7type
2282	USE ncdf
2283
2284	IMPLICIT NONE
2285
2286	TYPE(DT7type), INTENT(inout) :: DTocc
2287	REAL :: sec
2288
2289	CALL ncdf_getatt('year', DTocc%Year)
2290	CALL ncdf_getatt('month', DTocc%Month)
2291	CALL ncdf_getatt('day', DTocc%Day)
2292	CALL ncdf_getatt('hour', DTocc%Hour)
2293	CALL ncdf_getatt('minute', DTocc%Minute)
2294	CALL ncdf_getatt('second', sec)
2295	DTocc%Second = NINT(sec)
2296	DTocc%Msec = 0
2297
2298	END SUBROUTINE gettime
2299
2300	END SUBROUTINE ropp_io_read_ncdf_get_ucardata
2301
2302	!-------------------------------------------------------------------------------
2303	! 8. EUM RO data
2304	!-------------------------------------------------------------------------------
2305
2306	SUBROUTINE ropp_io_read_ncdf_get_eumdata(DATA, file, resolution, getlevel1a, getbufr, ldummy)
2307
2308	! 8.1 Declarations
2309	! ----------------
2310
2311	USE ncdf
2312	USE ropp_utils
2313	USE ropp_io_types, ONLY: ROprof
2314
2315	IMPLICIT NONE
2316
2317	TYPE(ROprof), INTENT(inout) :: DATA
2318	CHARACTER(len = *), INTENT(in) :: file
2319	CHARACTER(len = 20), INTENT(in) :: resolution
2320	LOGICAL, INTENT(IN) :: getlevel1a
2321	LOGICAL, INTENT(IN) :: getbufr
2322	CHARACTER(len = 256) :: routine
2323	LOGICAL, INTENT(IN) :: ldummy ! needed to differentiate between
2324	! ropp_io_read_ncdf_get_eumdata and
2325	! ropp_io_read_ncdf_get_otherdata
2326
2327	! 8.2 Error handling
2328	! ------------------
2329
2330	CALL message_get_routine(routine)
2331	CALL message_set_routine('ropp_io_read_eumdata')
2332
2333	CALL ropp_io_read_eumdata(DATA, file, resolution, getlevel1a, getbufr)
2334
2335	CALL message_set_routine(routine)
2336
2337
2338	CONTAINS
2339
2340
2341	!-------------------------------------------------------------------------------
2342	! 9. EUMETSAT RO data - level 1B
2343	!-------------------------------------------------------------------------------
2344
2345	SUBROUTINE ropp_io_read_eumdata(DATA, file, resolution, getlevel1a, getbufr)
2346
2347	! This routine reads the netCDF4 EUMETSAT format into an internal ROPP structure.
2348
2349	! 9.1 Declarations
2350	! ----------------
2351
2352	USE DateTimeTypes
2353	USE ropp_utils
2354	USE coordinates
2355	USE ncdf
2356	USE ropp_io
2357	USE ropp_io_types, ONLY: ROprof, &
2358	ThisFmtVer, &
2359	PCD_open_loop, &
2360	PCD_rising
2361
2362	IMPLICIT NONE
2363
2364	TYPE(ROprof), INTENT(inout) :: DATA
2365	TYPE(ROprof) :: DATA_CL, DATA_RS
2366	CHARACTER(len = 20), INTENT(in) :: resolution
2367	CHARACTER(len = *), INTENT(in) :: file
2368	LOGICAL, INTENT(IN) :: getlevel1a
2369	LOGICAL, INTENT(IN) :: getbufr
2370
2371	REAL(wp), DIMENSION(:), ALLOCATABLE :: rs_navbit_ext ! RS navbits (external)
2372	REAL(wp), DIMENSION(:), ALLOCATABLE :: rs_navbit_int ! RS navbits (internal)
2373	REAL(wp), DIMENSION(:), ALLOCATABLE :: temparray ! Temporary array
2374	INTEGER, DIMENSION(:), ALLOCATABLE :: rs_lcf, cl_lcf, lcf ! Lost carrier flag
2375
2376	REAL(wp), DIMENSION(:,:), ALLOCATABLE :: r_gns, v_gns ! Temporary pos/velocity arrays
2377	REAL(wp), DIMENSION(:,:), ALLOCATABLE :: r_leo, v_leo ! Temporary pos/velocity arrays
2378
2379	REAL(wp), DIMENSION(:), ALLOCATABLE :: rs_i_ca_uncorr ! RS I component [V]
2380	REAL(wp), DIMENSION(:), ALLOCATABLE :: rs_q_ca_uncorr ! RS Q component [V]
2381	REAL(wp), DIMENSION(:), ALLOCATABLE :: rs_exphase_l1_nco ! RS NCO excess phase [m]
2382	REAL(wp), DIMENSION(:), ALLOCATABLE :: rs_phase_l1_iq ! I/Q contribution
2383	Integer, DIMENSION(:), ALLOCATABLE :: tracking_state ! Tracking state
2384
2385	INTEGER :: n, n_cl, n_rs, first_valid, j
2386	INTEGER :: readint, readint2
2387	REAL(EightByteReal) :: readreal, readreal2, ts, ts1
2388	CHARACTER (len = 256) :: readstr, readstr2
2389
2390	INTEGER(OneByteInt) :: readbyte1, readbyte2, readbyte3
2391
2392	CHARACTER (len = 256) :: sdir ! directory to science info in netCDF4
2393	CHARACTER (len = 256) :: ddir ! directory to science/data in netCDF4
2394	CHARACTER (len = 256) :: tdir ! tmp directory for use
2395
2396	REAL(wp), PARAMETER :: g_wmo = 9.80665_wp
2397	REAL(wp), PARAMETER :: epsilon_water = 0.621971_wp
2398	REAL(wp), PARAMETER :: f_L1 = 1.57542e9_wp
2399	REAL(wp), PARAMETER :: c_light = 299792458.0_wp
2400	! Pi already defined as parameter in coordinates module. Confuses pgf95.
2401	REAL(wp), PARAMETER :: pi1 = 3.141592653589793238_wp
2402
2403	INTEGER :: have_nb = 0
2404
2405	! INTEGER, DIMENSION(:), POINTER :: idx => null() ! Holds 'where' output
2406	! INTEGER :: nidx
2407
2408	! 9.2 Group path for science, level 1B data
2409	! -----------------------------------------
2410
2411	sdir = '/data/'
2412
2413	ddir = TRIM(sdir) // 'level_1b/' // TRIM(resolution) // '/'
2414
2415	! 9.3 Header variables
2416	! --------------------
2417
2418	! receiver satellite ID in ROPP format
2419	readstr = ' '
2420	CALL ncdf_getatt('spacecraft', readstr)
2421	IF ( readstr == 'M02' ) data%leo_id = 'META'
2422	IF ( readstr == 'M01' ) data%leo_id = 'METB'
2423	IF ( readstr == 'M03' ) data%leo_id = 'METC'
2424
2425	! occulting GNSS satellite
2426	CALL ncdf_getvar(TRIM(sdir)//'occultation/prn', readint)
2427	WRITE(data%gns_id,'(A1,I3.3)') 'G', readint
2428
2429	! station ID unused for EUMETSAT data
2430	! readstr = ' '
2431	! CALL ncdf_getatt('fiducial_id', readstr)
2432	! IF(readstr /= ' ') data%stn_id = readstr(1:4)
2433
2434	! 9.4 Overall quality
2435	! -------------------
2436
2437	! Overall nominal / non-nominal
2438	tdir = '/quality/'
2439	CALL ncdf_getvar(TRIM(tdir)//'overall_quality_ok', readbyte1)
2440
2441	data%PCD = 0
2442	IF (readbyte1 == 0) data%PCD = 1
2443
2444	! BA nominal (set to same value as overall)
2445	IF (readbyte1 == 0) data%PCD = IBSET(data%PCD, PCD_bangle) ! set to same value as overall
2446
2447	! quality indicator, currently just set to 100% or 0%
2448	data%overall_qual = 100.0_wp * readbyte1
2449	data%units%overall_qual = '%'
2450
2451	! NRT of offline data
2452	CALL ncdf_getatt('environment', readstr)
2453	IF ( readstr /= 'Operational' ) data%PCD = IBSET(data%PCD, PCD_offline)
2454
2455	! open or closed loop data setting
2456	CALL ncdf_getvar(TRIM(tdir)//'rs_data_available', readbyte1)
2457	CALL ncdf_getvar(TRIM(tdir)//'ol_data_available', readbyte2)
2458	! IF ((readbyte1) .OR. (readbyte2)) data%PCD = IBSET(data%PCD, PCD_open_loop) - right now we only us RS, not OL
2459	IF ((readbyte1 /= 0) .OR. (readbyte2 /= 0)) data%PCD = IBSET(data%PCD, PCD_open_loop)
2460
2461	! setting or rising
2462	CALL ncdf_getatt(TRIM(sdir)//'occultation/occultation_type', readstr)
2463	IF (TRIM(readstr) == 'rising') data%PCD = IBSET(data%PCD, PCD_rising)
2464
2465	! closed loop phase measurements okay?
2466	CALL ncdf_getvar(TRIM(tdir)//'cl_snr_ca_ok', readbyte1)
2467	CALL ncdf_getvar(TRIM(tdir)//'cl_snr_p1_ok', readbyte2)
2468	CALL ncdf_getvar(TRIM(tdir)//'cl_snr_p2_ok', readbyte3)
2469	IF ((readbyte1 == 0) .AND. (readbyte2 == 0) .AND. (readbyte3 == 0)) &
2470	data%PCD = IBSET(data%PCD, PCD_phase)
2471
2472
2473	! 9.5 Date and time
2474	! -----------------
2475
2476	! start time of occultation
2477	tdir = TRIM(sdir) // 'level_1b/'
2478
2479	CALL ncdf_getvar(TRIM(tdir)//'utc_start_absdate', readint)
2480	CALL ncdf_getvar(TRIM(tdir)//'utc_start_abstime', readreal)
2481
2482	! check that we have the right time
2483	CALL ncdf_getatt(TRIM(tdir)//'units', readstr, 'utc_start_absdate')
2484	IF ( readstr == 'days since 2000-01-01 00:00:00.00' ) THEN
2485	CALL abstimetoDT(readint, readreal, data%DTocc)
2486	ELSE
2487	CALL message(msg_fatal, &
2488	'Time units found for utc_start_absdate are inconsistent.')
2489	ENDIF
2490
2491	! difference between start time and georef time
2492	tdir = TRIM(sdir) // 'occultation/'
2493	CALL ncdf_getvar(TRIM(tdir)//'utc_georef_absdate', readint2)
2494	CALL ncdf_getvar(TRIM(tdir)//'utc_georef_abstime', readreal2)
2495
2496	! check that we have the right time
2497	CALL ncdf_getatt(TRIM(tdir)//'units', readstr, 'utc_georef_absdate')
2498	IF ( .NOT. (readstr == 'days since 2000-01-01 00:00:00.00') ) &
2499	CALL message(msg_fatal, &
2500	'Time units found for utc_georef_absdate are inconsistent.')
2501
2502	data%georef%time_offset = 86400.d0*(readint2 - readint) + (readreal2 - readreal)
2503
2504	! 9.6 Georeferencing
2505	! ------------------
2506
2507	CALL ncdf_getvar(TRIM(tdir)//'latitude', data%georef%lat, &
2508	units=data%georef%units%lat)
2509	CALL ncdf_getvar(TRIM(tdir)//'longitude', data%georef%lon, &
2510	units=data%georef%units%lon)
2511	CALL ncdf_getvar(TRIM(tdir)//'undulation', data%georef%Undulation, &
2512	units=data%georef%units%Undulation)
2513	CALL ncdf_getvar(TRIM(tdir)//'r_curve', data%georef%roc, &
2514	units=data%georef%units%roc)
2515	CALL ncdf_getvar(TRIM(tdir)//'r_curve_centre_fixed', data%georef%r_coc, &
2516	units=data%georef%units%r_coc)
2517	CALL ncdf_getvar(TRIM(tdir)//'azimuth_north', data%georef%azimuth, &
2518	units=data%georef%units%azimuth)
2519
2520	! FIXME: Do we need this?
2521	data%georef%reference_frame%r_coc = 'ECF'
2522
2523	! get the location, velocity of leo and gnss, assure that the getbufr flag
2524	! is set, not the getlevel1a. The getbufr only allocates one level 1a for
2525	! this info and reads the value from the correct group occultation
2526	! FIXME: Is this always done like this? What about when the level 1a has
2527	! a dimension > 1, what is actually chosen for the one bufr value?
2528	! It would be better to store the reference values for e.g. the bufr
2529	! in a dedicated dimension, not in the level 1a one! This dimension
2530	! would always have the value 1 when used, but allows to separate data
2531	! at the reference point from the general level 1a data, which covers the
2532	! whole occultation
2533
2534	IF (getbufr .AND. getlevel1a) THEN
2535
2536	CALL message(msg_fatal, &
2537	'Extraction of both BUFR and level1a data is not allowed.')
2538
2539	ELSE
2540
2541	! IF (getbufr) THEN
2542	IF (.NOT. getlevel1a) THEN
2543
2544	CALL ropp_io_init(data%Lev1a, 1)
2545	CALL ncdf_getvar(TRIM(tdir)//'position_rec_fixed', data%Lev1a%r_leo(1,:), &
2546	units=data%Lev1a%units%r_leo, range = data%Lev1a%range%r_leo)
2547	CALL ncdf_getvar(TRIM(tdir)//'velocity_rec', data%Lev1a%v_leo(1,:), &
2548	units=data%Lev1a%units%v_leo, range = data%Lev1a%range%v_leo)
2549	CALL ncdf_getvar(TRIM(tdir)//'position_gns_fixed', data%Lev1a%r_gns(1,:), &
2550	units=data%Lev1a%units%r_gns, range = data%Lev1a%range%r_gns)
2551	CALL ncdf_getvar(TRIM(tdir)//'velocity_gns', data%Lev1a%v_gns(1,:), &
2552	units=data%Lev1a%units%v_gns, range = data%Lev1a%range%v_gns)
2553
2554	! FIXME: Do we need this?
2555	data%Lev1a%reference_frame%r_leo = 'ECF'
2556	data%Lev1a%reference_frame%r_gns = 'ECF'
2557	data%Lev1a%reference_frame%v_leo = 'ECI'
2558	data%Lev1a%reference_frame%v_leo = 'ECI'
2559
2560	! dtime set to zero for only 1 level 1A field
2561	data%Lev1a%dtime = 0.0_wp
2562
2563	! mean SNR values for CA, P1, P2
2564	! FIXME: - this is the EUMETSAT mean value for SLTA > 60km,
2565	! should be mentioned in ROPP netCDF file if required!
2566	! - data appears when doing a bufr2ropp, however seems not to be
2567	! part of the bufr content.
2568	!tdir = TRIM(sdir)//'level_1a/closed_loop/'
2569	!CALL ncdf_getvar(TRIM(tdir)//'snr_ca_mean', data%Lev1a%snr_L1ca(1), &
2570	! units=data%Lev1a%units%snr, range = data%Lev1a%range%snr)
2571	!CALL ncdf_getvar(TRIM(tdir)//'snr_p1_mean', data%Lev1a%snr_L1p(1), &
2572	! units=data%Lev1a%units%snr, range = data%Lev1a%range%snr)
2573	!CALL ncdf_getvar(TRIM(tdir)//'snr_p2_mean', data%Lev1a%snr_L2p(1), &
2574	! units=data%Lev1a%units%snr, range = data%Lev1a%range%snr)
2575
2576	! data are available
2577	data%Lev1a%Missing = .FALSE.
2578
2579	ENDIF ! getbufr
2580
2581	ENDIF ! getbufr .AND. getlevel1a not both true
2582
2583
2584	! 9.7 Level1a variables (if any)
2585	! ------------------------------
2586
2587	! 9.7.1 Closed Loop Level1a variables (if requested)
2588	! --------------------------------------------------
2589
2590	IF (getlevel1a) THEN
2591
2592	! FIXME: there should be a switch, similar to the level 1b resolution, to
2593	! determine what lev1a data to read (cl only, cl+rs, cl+ol). For now the
2594	! approach is to read and combine closed loop and raw sampling records.
2595	! This and related stuff is Kjartan's update.
2596
2597	tdir = TRIM(sdir) // 'level_1a/closed_loop/'
2598
2599	IF (ncdf_isvar(TRIM(tdir)//'dtime')) THEN ! read CL data
2600
2601	CALL ncdf_getsize(TRIM(tdir)//'dtime', n_cl, dim = 1)
2602	CALL ropp_io_init(data_cl%Lev1a, n_cl)
2603
2604	! Time
2605
2606	CALL ncdf_getvar(TRIM(tdir)//'dtime', data_cl%Lev1a%dtime, units=data_cl%Lev1a%units%dtime)
2607
2608	! Position and velocity
2609
2610	ALLOCATE(r_gns(3,n_cl), v_gns(3,n_cl), r_leo(3,n_cl), v_leo(3,n_cl))
2611
2612	CALL ncdf_getvar(TRIM(tdir)//'r_transmitter', r_gns, &
2613	units=data_cl%Lev1a%units%r_gns)
2614	CALL ncdf_getvar(TRIM(tdir)//'v_transmitter', v_gns, &
2615	units=data_cl%Lev1a%units%v_gns)
2616	CALL ncdf_getvar(TRIM(tdir)//'r_receiver', r_leo, &
2617	units=data_cl%Lev1a%units%r_leo)
2618	CALL ncdf_getvar(TRIM(tdir)//'v_receiver', v_leo, &
2619	units=data_cl%Lev1a%units%v_leo)
2620
2621	data_cl%Lev1a%r_gns = TRANSPOSE(r_gns)
2622	data_cl%Lev1a%v_gns = TRANSPOSE(v_gns)
2623	data_cl%Lev1a%r_leo = TRANSPOSE(r_leo)
2624	data_cl%Lev1a%v_leo = TRANSPOSE(v_leo)
2625
2626	DEALLOCATE(r_gns, v_gns, r_leo, v_leo)
2627
2628	! Phase and amplitude
2629
2630	CALL ncdf_getvar(TRIM(tdir)//'exphase_ca', data_cl%Lev1a%phase_L1, &
2631	units=data_cl%Lev1a%units%phase)
2632	CALL ncdf_getvar(TRIM(tdir)//'exphase_p2', data_cl%Lev1a%phase_L2, &
2633	units=data_cl%Lev1a%units%phase)
2634	CALL ncdf_getvar(TRIM(tdir)//'snr_ca', data_cl%Lev1a%snr_L1ca, &
2635	units=data_cl%Lev1a%units%snr)
2636	CALL ncdf_getvar(TRIM(tdir)//'snr_p1', data_cl%Lev1a%snr_L1p, &
2637	units=data_cl%Lev1a%units%snr)
2638	CALL ncdf_getvar(TRIM(tdir)//'snr_p2', data_cl%Lev1a%snr_L2p, &
2639	units=data_cl%Lev1a%units%snr)
2640
2641	! Closed loop lost carrier flag (looking for data gaps)
2642
2643	ALLOCATE(cl_LCF(n_cl))
2644	cl_LCF(:) = 0
2645
2646	ts = MINVAL(ABS(data_cl%Lev1a%dtime(2:n_cl) - data_cl%Lev1a%dtime(1:n_cl-1)))
2647
2648	IF (BTEST(data_cl%PCD, PCD_rising)) THEN ! Rising occultation
2649	DO j=n_cl-1,1,-1
2650	ts1 = ABS(data_cl%Lev1a%dtime(j) - data_cl%Lev1a%dtime(j+1))
2651	IF (ts1 > 1.05*ts) THEN
2652	cl_LCF(j) = IBSET(cl_LCF(j), 3)
2653	cl_LCF(j+1) = IBSET(cl_LCF(j+1),3)
2654	ENDIF
2655	ENDDO
2656	ELSE ! Setting occultation
2657	DO j=2,n_cl
2658	ts1 = ABS(data_cl%Lev1a%dtime(j) - data_cl%Lev1a%dtime(j-1))
2659	IF (ts1 > 1.05*ts) THEN
2660	cl_LCF(j) = IBSET(cl_LCF(j), 3)
2661	cl_LCF(j-1) = IBSET(cl_LCF(j-1),3)
2662	ENDIF
2663	ENDDO
2664
2665	ENDIF ! Rising occultation
2666
2667	ENDIF ! /level_1a/closed_loop/dtime = true
2668
2669	! 9.7.2 Raw Sampling Level1a variables (if requested)
2670	! ---------------------------------------------------
2671
2672	n_rs = 0 ! will be set differently if RS data is available
2673
2674	CALL ncdf_getvar('/quality/rs_data_available', readbyte1)
2675
2676	IF (readbyte1 == 1) THEN
2677
2678	tdir = TRIM(sdir) // 'level_1a/raw_sampling/'
2679
2680	IF (ncdf_isvar(TRIM(tdir)//'dtime')) THEN ! read RS data
2681
2682	data%PCD = IBSET(data%PCD, PCD_open_loop)
2683	CALL ncdf_getsize(TRIM(tdir)//'dtime', n_rs, dim = 1)
2684	CALL ropp_io_init(data_rs%Lev1a, n_rs)
2685
2686	! Time
2687
2688	CALL ncdf_getvar(TRIM(tdir)//'dtime', data_rs%Lev1a%dtime, units=data_rs%Lev1a%units%dtime)
2689
2690	! Position and velocity
2691
2692	ALLOCATE(r_leo(3,n_rs), v_leo(3,n_rs), r_gns(3,n_rs), v_gns(3,n_rs))
2693
2694	CALL ncdf_getvar(TRIM(tdir)//'r_transmitter', r_gns, &
2695	units=data_rs%Lev1a%units%r_gns)
2696	CALL ncdf_getvar(TRIM(tdir)//'v_transmitter', v_gns, &
2697	units=data_rs%Lev1a%units%v_gns)
2698	CALL ncdf_getvar(TRIM(tdir)//'r_receiver', r_leo, &
2699	units=data_rs%Lev1a%units%r_leo)
2700	CALL ncdf_getvar(TRIM(tdir)//'v_receiver', v_leo, &
2701	units=data_rs%Lev1a%units%v_leo)
2702
2703	data_rs%Lev1a%r_gns = TRANSPOSE(r_gns)
2704	data_rs%Lev1a%v_gns = TRANSPOSE(v_gns)
2705	data_rs%Lev1a%r_leo = TRANSPOSE(r_leo)
2706	data_rs%Lev1a%v_leo = TRANSPOSE(v_leo)
2707
2708	DEALLOCATE(r_gns, v_gns, r_leo, v_leo)
2709
2710	! Phase and amplitude
2711
2712	ALLOCATE(rs_navbit_int(n_rs))
2713	ALLOCATE(rs_navbit_ext(n_rs))
2714	ALLOCATE(tracking_state(n_rs))
2715
2716	CALL ncdf_getvar(TRIM(tdir)//'navbits_internal', rs_navbit_int)
2717	CALL ncdf_getvar('/quality/rs_external_navbits_applied', have_nb)
2718	CALL ncdf_getvar(TRIM(tdir)//'tracking_state', tracking_state)
2719
2720	IF (have_nb > 0) THEN
2721	CALL ncdf_getvar(TRIM(tdir)//'navbits_external', rs_navbit_ext)
2722	ELSE
2723	rs_navbit_ext(:) = rs_navbit_int(:)
2724	ENDIF
2725
2726	ALLOCATE(rs_phase_l1_iq(n_rs))
2727	ALLOCATE(rs_i_ca_uncorr(n_rs))
2728	ALLOCATE(rs_q_ca_uncorr(n_rs))
2729	ALLOCATE(rs_exphase_l1_nco(n_rs))
2730
2731	CALL ncdf_getvar(TRIM(tdir)//'i_ca_uncorr', rs_i_ca_uncorr)
2732	CALL ncdf_getvar(TRIM(tdir)//'q_ca_uncorr', rs_q_ca_uncorr)
2733	CALL ncdf_getvar(TRIM(tdir)//'exphase_l1_nco', rs_exphase_l1_nco, &
2734	units=data_rs%Lev1a%units%phase)
2735	CALL ncdf_getvar(TRIM(tdir)//'snr_ca', data_rs%Lev1a%snr_L1ca, &
2736	units=data_rs%Lev1a%units%snr)
2737
2738	DO j=1,n_rs
2739	rs_phase_l1_iq(j) = ATAN2(rs_q_ca_uncorr(j), rs_i_ca_uncorr(j)+TINY(1.0_wp))
2740	ENDDO
2741
2742	CALL Accumulate_Phase(rs_phase_l1_iq)
2743
2744	data_rs%lev1a%phase_l1(:) = rs_exphase_l1_nco(:) + &
2745	(c_light/(2.0_wppi1f_L1))*rs_phase_l1_iq(:)
2746
2747	! Comment in the line below if you wish to read the excess phase directly
2748	! from the EUMETSAT file instead of deriving from I and Q
2749	! CALL ncdf_getvar(TRIM(tdir)//'exphase_ca', &
2750	! data_rs%Lev1a%phase_L1, units=data_rs%Lev1a%units%phase)
2751
2752	! For rising profiles remove all data with tracking state = 2 in the
2753	! beginning of the record as these are not valid.
2754
2755	IF (BTEST(data_rs%PCD, PCD_rising)) THEN ! Rising occultation
2756
2757	first_valid = -1 ! value to mark that this hasn't been set yet
2758
2759	DO j=1,n_rs
2760	IF ((tracking_state(j) /= 2) .AND. (first_valid == -1)) THEN
2761	first_valid = j
2762	ENDIF
2763	ENDDO
2764
2765	CALL ropp_io_shrink(data_rs%Lev1a, first_valid, n_rs, 1)
2766
2767	ALLOCATE(temparray(data_rs%Lev1a%Npoints))
2768
2769	temparray = rs_navbit_int(first_valid:n_rs)
2770
2771	DEALLOCATE(rs_navbit_int)
2772	ALLOCATE(rs_navbit_int(data_rs%Lev1a%Npoints))
2773	rs_navbit_int = temparray
2774
2775	temparray = rs_navbit_ext(first_valid:n_rs)
2776	DEALLOCATE(rs_navbit_ext)
2777	ALLOCATE(rs_navbit_ext(data_rs%Lev1a%Npoints))
2778	rs_navbit_ext = temparray
2779
2780	DEALLOCATE(temparray)
2781
2782	n_rs = data_rs%Lev1a%Npoints
2783
2784	ENDIF ! Rising occultation
2785
2786	! data flag
2787
2788	ALLOCATE(rs_LCF(n_rs))
2789	rs_LCF(:) = 0
2790
2791	ts = MINVAL(ABS(data_rs%Lev1a%dtime(2:n_rs) - data_rs%Lev1a%dtime(1:n_rs-1)))
2792
2793	IF (BTEST(data_rs%PCD, PCD_rising)) THEN ! Rising occultation
2794	DO j=n_rs-1,1,-1
2795	ts1 = ABS(data_rs%Lev1a%dtime(j) - data_rs%Lev1a%dtime(j+1))
2796	IF (ts1 > 1.05*ts) THEN
2797	rs_LCF(j) = IBSET(rs_LCF(j), 3)
2798	rs_LCF(j+1) = IBSET(rs_LCF(j+1),3)
2799	ENDIF
2800	ENDDO
2801	ELSE ! Setting occultation
2802	DO j=2,n_rs
2803	ts1 = ABS(data_rs%Lev1a%dtime(j) - data_rs%Lev1a%dtime(j-1))
2804	IF (ts1 > 1.05*ts) THEN
2805	rs_LCF(j) = IBSET(rs_LCF(j), 3)
2806	rs_LCF(j-1) = IBSET(rs_LCF(j-1),3)
2807	ENDIF
2808	ENDDO
2809	ENDIF
2810
2811	rs_LCF(:) = IBSET(rs_LCF(:), 0) ! Open loop mode
2812
2813	WHERE (NINT(rs_navbit_ext(:)) == 1) ! External navbit
2814	rs_LCF(:) = IBSET(rs_LCF(:), 1)
2815	ENDWHERE
2816
2817	rs_LCF(:) = IBSET(rs_LCF(:), 2) ! Navbit quality OK
2818
2819	WHERE (NINT(rs_navbit_int(:)) == 1) ! Alternative navbit
2820	rs_LCF(:) = IBSET(rs_LCF(:), 4)
2821	ENDWHERE
2822
2823	rs_LCF(:) = IBSET(rs_LCF(:), 5) ! Alternative navbit quality
2824
2825	! Setting flag for duplicated CL record
2826	WHERE((data_rs%Lev1a%dtime(1) < data_cl%Lev1a%dtime(:)) .AND. &
2827	(data_cl%Lev1a%dtime(:) < data_rs%Lev1a%dtime(n_rs)))
2828	cl_LCF(:) = IBSET(cl_LCF(:), 6)
2829	ENDWHERE
2830
2831	ENDIF ! /level_1a/raw_sampling/dtime exists
2832
2833	ENDIF ! /quality_control/rs_data_available is true
2834
2835	! 9.7.3 Combine CL and RS Level1a variables (if requested)
2836	! ---------------------------------------------------------
2837
2838	n = n_cl + n_rs
2839
2840	! Initialise ro_data structure variables
2841
2842	CALL ropp_io_init(data%Lev1a, n)
2843	ALLOCATE(lcf(n))
2844
2845	! Set output variables
2846
2847	IF (BTEST(data%PCD, PCD_rising)) THEN ! Rising occultation
2848
2849	DO j=1,n_cl
2850	data%lev1a%dtime(n_rs+j) = data_cl%lev1a%dtime(j)
2851	data%lev1a%r_gns(n_rs+j,:) = data_cl%lev1a%r_gns(j,:)
2852	data%lev1a%v_gns(n_rs+j,:) = data_cl%lev1a%v_gns(j,:)
2853	data%lev1a%r_leo(n_rs+j,:) = data_cl%lev1a%r_leo(j,:)
2854	data%lev1a%v_leo(n_rs+j,:) = data_cl%lev1a%v_leo(j,:)
2855	data%lev1a%snr_L1ca(n_rs+j) = data_cl%lev1a%snr_L1ca(j)
2856	data%lev1a%snr_L1p(n_rs+j) = data_cl%lev1a%snr_L1p(j)
2857	data%lev1a%snr_L2p(n_rs+j) = data_cl%lev1a%snr_L2p(j)
2858	data%lev1a%phase_L1(n_rs+j) = data_cl%lev1a%phase_L1(j)
2859	data%lev1a%phase_L2(n_rs+j) = data_cl%lev1a%phase_L2(j)
2860	lcf(n_rs+j) = cl_LCF(j)
2861	ENDDO
2862
2863	IF (n_rs /= 0) THEN
2864
2865	DO j=1,n_rs
2866	data%lev1a%dtime(j) = data_rs%lev1a%dtime(j)
2867	data%lev1a%r_gns(j,:) = data_rs%lev1a%r_gns(j,:)
2868	data%lev1a%v_gns(j,:) = data_rs%lev1a%v_gns(j,:)
2869	data%lev1a%r_leo(j,:) = data_rs%lev1a%r_leo(j,:)
2870	data%lev1a%v_leo(j,:) = data_rs%lev1a%v_leo(j,:)
2871	data%lev1a%snr_L1ca(j) = data_rs%lev1a%snr_L1ca(j)
2872	data%lev1a%snr_L1p(j) = ropp_MDFV
2873	data%lev1a%snr_L2p(j) = ropp_MDFV
2874	data%lev1a%phase_L1(j) = data_rs%lev1a%phase_L1(j)
2875	data%lev1a%phase_L2(j) = ropp_MDFV
2876	lcf(j) = rs_LCF(j)
2877	ENDDO
2878
2879	! test for gap between cl and rs records
2880	ts = MINVAL(ABS(data_cl%lev1a%dtime(2:n_cl) - data_cl%lev1a%dtime(1:n_cl-1)))
2881
2882	IF (data_rs%lev1a%dtime(n_rs) < data_cl%lev1a%dtime(1)-1.5*ts) THEN
2883	LCF(n_rs:n_rs+1) = IBSET(LCF(n_rs:n_rs+1),3)
2884	ENDIF
2885
2886	ENDIF ! n_rs /= 0
2887
2888	ELSE ! Setting occultation
2889
2890	DO j=1,n_cl
2891	data%lev1a%dtime(j) = data_cl%lev1a%dtime(j)
2892	data%lev1a%r_gns(j,:) = data_cl%lev1a%r_gns(j,:)
2893	data%lev1a%v_gns(j,:) = data_cl%lev1a%v_gns(j,:)
2894	data%lev1a%r_leo(j,:) = data_cl%lev1a%r_leo(j,:)
2895	data%lev1a%v_leo(j,:) = data_cl%lev1a%v_leo(j,:)
2896	data%lev1a%snr_L1ca(j) = data_cl%lev1a%snr_L1ca(j)
2897	data%lev1a%snr_L1p(j) = data_cl%lev1a%snr_L1p(j)
2898	data%lev1a%snr_L2p(j) = data_cl%lev1a%snr_L2p(j)
2899	data%lev1a%phase_L1(j) = data_cl%lev1a%phase_L1(j)
2900	data%lev1a%phase_L2(j) = data_cl%lev1a%phase_L2(j)
2901	lcf(j) = cl_LCF(j)
2902	ENDDO
2903
2904	IF (n_rs /= 0) THEN
2905
2906	DO j=1,n_rs
2907	data%lev1a%dtime(n_cl+j) = data_rs%lev1a%dtime(j)
2908	data%lev1a%r_gns(n_cl+j,:) = data_rs%lev1a%r_gns(j,:)
2909	data%lev1a%v_gns(n_cl+j,:) = data_rs%lev1a%v_gns(j,:)
2910	data%lev1a%r_leo(n_cl+j,:) = data_rs%lev1a%r_leo(j,:)
2911	data%lev1a%v_leo(n_cl+j,:) = data_rs%lev1a%v_leo(j,:)
2912	data%lev1a%snr_L1ca(n_cl+j) = data_rs%lev1a%snr_L1ca(j)
2913	data%lev1a%snr_L1p(n_cl+j) = ropp_MDFV
2914	data%lev1a%snr_L2p(n_cl+j) = ropp_MDFV
2915	data%lev1a%phase_L1(n_cl+j) = data_rs%lev1a%phase_L1(j)
2916	data%lev1a%phase_L2(n_cl+j) = ropp_MDFV
2917	lcf(n_cl+j) = rs_LCF(j)
2918	ENDDO
2919
2920	ts = MINVAL(ABS(data_cl%lev1a%dtime(2:n_cl) - data_cl%lev1a%dtime(1:n_cl-1)))
2921
2922	IF (data_cl%lev1a%dtime(n_cl) < data_rs%lev1a%dtime(1)-1.5*ts) THEN
2923	LCF(n_cl:n_cl+1) = IBSET(LCF(n_cl:n_cl+1),3)
2924	ENDIF
2925
2926	ENDIF ! n_rs /= 0
2927
2928	ENDIF ! Rising occultation
2929
2930	! 9.7.4 Missing/invalid data checks
2931	! ---------------------------------
2932
2933	WHERE (ropp_io_isnan(data%Lev1a%phase_L1))
2934	data%Lev1a%phase_L1 = ropp_MDFV
2935	LCF = IBSET(LCF, 3)
2936	ENDWHERE
2937
2938	WHERE (ropp_io_isnan(data%Lev1a%phase_L2))
2939	data%Lev1a%phase_L2 = ropp_MDFV
2940	ENDWHERE
2941
2942	WHERE (ropp_io_isnan(data%Lev1a%snr_L1ca))
2943	data%Lev1a%snr_L1ca = ropp_MDFV
2944	LCF = IBSET(LCF, 3)
2945	ENDWHERE
2946
2947	WHERE (ropp_io_isnan(data%Lev1a%snr_L1p))
2948	data%Lev1a%snr_L1p = ropp_MDFV
2949	ENDWHERE
2950
2951	WHERE (ropp_io_isnan(data%Lev1a%snr_L2p))
2952	data%Lev1a%snr_L2p = ropp_MDFV
2953	ENDWHERE
2954
2955	data%Lev1a%reference_frame%r_gns = 'ECI'
2956	data%Lev1a%reference_frame%r_leo = 'ECI'
2957
2958	data%Lev1a%range%phase = (/ &
2959	MIN(MINVAL(data%Lev1a%phase_L1), data%Lev1a%range%phase(1)), &
2960	MAX(MAXVAL(data%Lev1a%phase_L1), data%Lev1a%range%phase(2)) /)
2961
2962	! Add lost carrier information to file
2963
2964	CALL ropp_io_addvar_rodataD1d(data, &
2965	name = 'open_loop_lcf', &
2966	long_name= 'Lost Carrier Flag', &
2967	units = '', &
2968	range = (/-1000000.0_wp, 1000000.0_wp/), &
2969	DATA = REAL(LCF,wp) )
2970
2971	DEALLOCATE(LCF, CL_LCF)
2972
2973	CALL ropp_io_free(data_cl)
2974
2975	IF (n_rs /= 0) THEN
2976	DEALLOCATE(RS_LCF)
2977	CALL ropp_io_free(data_rs)
2978	ENDIF
2979
2980	ENDIF ! getlevel1a is true
2981
2982
2983	! 9.8 Level1b variables (if any)
2984	! ------------------------------
2985
2986	IF (ncdf_isvar(TRIM(ddir)//'impact')) THEN
2987	CALL ncdf_getsize(TRIM(ddir)//'impact', n, dim = 1)
2988	CALL ropp_io_init(data%Lev1b, n)
2989	ELSE
2990	data%Lev1b%Npoints = 0
2991	ENDIF
2992
2993	IF (data%Lev1b%Npoints > 0) THEN
2994
2995	CALL ncdf_getvar(TRIM(ddir)//'lat_tp', data%Lev1b%lat_tp, &
2996	units=data%Lev1b%units%lat_tp)
2997	CALL ncdf_getvar(TRIM(ddir)//'lon_tp', data%Lev1b%lon_tp, &
2998	units=data%Lev1b%units%lon_tp)
2999	CALL ncdf_getvar(TRIM(ddir)//'azimuth_tp', data%Lev1b%azimuth_tp, &
3000	units=data%Lev1b%units%azimuth_tp)
3001	CALL ncdf_getvar(TRIM(ddir)//'impact', data%Lev1b%impact, &
3002	units=data%Lev1b%units%impact)
3003	CALL ncdf_getvar(TRIM(ddir)//'impact', data%Lev1b%impact_L1, &
3004	units=data%Lev1b%units%impact)
3005	CALL ncdf_getvar(TRIM(ddir)//'impact', data%Lev1b%impact_L2, &
3006	units=data%Lev1b%units%impact)
3007	CALL ncdf_getvar(TRIM(ddir)//'bangle', data%Lev1b%bangle, &
3008	units=data%Lev1b%units%bangle)
3009	CALL ncdf_getvar(TRIM(ddir)//'bangle_ca', data%Lev1b%bangle_L1, &
3010	units=data%Lev1b%units%bangle)
3011	CALL ncdf_getvar(TRIM(ddir)//'bangle_p2', data%Lev1b%bangle_L2, &
3012	units=data%Lev1b%units%bangle)
3013
3014	! remove all NaN from EUM fields
3015	! FIXME: maybe do this in ncdf_getvar?
3016
3017	WHERE( .NOT. ropp_io_isnan(data%Lev1b%bangle) ) data%Lev1b%bangle_qual = 100.0_wp
3018
3019	WHERE( ropp_io_isnan(data%Lev1b%lat_tp) ) data%Lev1b%lat_tp = ropp_MDFV
3020	WHERE( ropp_io_isnan(data%Lev1b%lon_tp) ) data%Lev1b%lon_tp = ropp_MDFV
3021	WHERE( ropp_io_isnan(data%Lev1b%azimuth_tp) ) data%Lev1b%azimuth_tp = ropp_MDFV
3022	WHERE( ropp_io_isnan(data%Lev1b%bangle) ) data%Lev1b%bangle = ropp_MDFV
3023	WHERE( ropp_io_isnan(data%Lev1b%bangle_L1) ) data%Lev1b%bangle_L1 = ropp_MDFV
3024	WHERE( ropp_io_isnan(data%Lev1b%bangle_L2) ) data%Lev1b%bangle_L2 = ropp_MDFV
3025
3026	! set the quality for bangle, EUMETSAT data uses NaN for missing
3027
3028	data%Lev1b%Missing = .FALSE.
3029
3030	ENDIF ! data%Lev1b%Npoints > 0
3031
3032
3033	! 9.9 (Global) Attributes
3034	! -----------------------
3035
3036	data%FmtVersion = ThisFmtVer
3037
3038	data%processing_centre = ' '
3039	CALL ncdf_getatt('institution', data%processing_centre)
3040
3041	data%pod_method = ' '
3042	CALL ncdf_getatt(TRIM(sdir)//'occultation/pod_method', data%pod_method)
3043
3044	data%phase_method = ' '
3045	CALL ncdf_getatt(TRIM(sdir)//'occultation/phase_method', data%phase_method)
3046
3047	data%bangle_method = ' '
3048	CALL ncdf_getatt(TRIM(sdir)//'occultation/retrieval_method', data%bangle_method)
3049
3050	data%refrac_method = 'UNKNOWN'
3051
3052	data%meteo_method = 'UNKNOWN'
3053
3054	IF (TRIM(resolution) == 'high_resolution') THEN
3055	data%thin_method = 'Unthinned data'
3056	ELSE
3057	data%thin_method = ' '
3058	CALL ncdf_getatt(TRIM(ddir)//'thinner_method', data%thin_method)
3059	ENDIF
3060
3061	! Software version is the ROPP software version, in the format 'vnn.mmm'.
3062	! At ROPP8.0, a new variable, 'processing_software', has been introduced,
3063	! which can hold information about other software - in this case, the EUM
3064	! processing code that generated the data in the first place.
3065
3066	data%software_version = ' ' ; readstr = ' ' ; readstr2 = ' '
3067
3068	CALL ncdf_getatt('/status/processing/processor_name' , readstr)
3069
3070	CALL ncdf_getatt('/status/processing/processor_version' ,readstr2)
3071
3072	data%processing_software = TRIM(readstr) // ' ' // TRIM(readstr2)
3073
3074	! Processing time, split up string
3075	! FIXME: Is there a library function for this that does some more format checks?
3076	CALL ncdf_getatt('/status/processing/creation_time', readstr)
3077
3078	SELECT CASE (LEN(TRIM(readstr)))
3079	CASE (14)
3080	READ(readstr, '(i4,i2,i2,i2,i2,i2)') &
3081	data%DTpro%Year, data%DTpro%Month, data%DTpro%Day, &
3082	data%DTpro%Hour, data%DTpro%Minute, data%DTpro%Second
3083	CASE (17)
3084	READ(readstr, '(i4,i2,i2,i2,i2,i2,i3)') &
3085	data%DTpro%Year, data%DTpro%Month, data%DTpro%Day, &
3086	data%DTpro%Hour, data%DTpro%Minute, data%DTpro%Second, data%DTpro%Msec
3087	CASE (19)
3088	READ(readstr, '(i4,1x,i2,1x,i2,1x,i2,1x,i2,1x,i2)') &
3089	data%DTpro%Year, data%DTpro%Month, data%DTpro%Day, &
3090	data%DTpro%Hour, data%DTpro%Minute, data%DTpro%Second
3091	CASE (23)
3092	READ(readstr, '(i4,1x,i2,1x,i2,1x,i2,1x,i2,1x,i2,1x,i3)') &
3093	data%DTpro%Year, data%DTpro%Month, data%DTpro%Day, &
3094	data%DTpro%Hour, data%DTpro%Minute, data%DTpro%Second, data%DTpro%Msec
3095	CASE DEFAULT
3096	CALL message( msg_warn, &
3097	'Invalid /status/processing/creation_time of ' // &
3098	TRIM(readstr) // ' ... defaulting DTpro%year etc.' )
3099	END SELECT
3100
3101
3102	! 9.10 Occultation ID
3103	! -------------------
3104
3105	CALL ropp_io_occid(DATA)
3106
3107
3108	! 9.11 Clean up
3109	! -------------
3110
3111	! IF (ASSOCIATED(idx)) DEALLOCATE(idx)
3112
3113	END SUBROUTINE ropp_io_read_eumdata
3114
3115
3116	!-------------------------------------------------------------------------------
3117	! 10. Accumulate phase
3118	!-------------------------------------------------------------------------------
3119
3120	SUBROUTINE Accumulate_Phase(Ph, Sign) ! (Array of (accumulated) phase, dir)
3121
3122	! Method:
3123	! Sign = 0 or no Sign:
3124	! Adding +-2*Pi where phase jumps from
3125	! +-Pi to -+Pi,
3126	! Sign > 0:
3127	! Adding +2*Pi where phase jumps from
3128	! - to +
3129	! Sign < 0
3130	! Adding -2*Pi where phase jumps from
3131	! + to -
3132
3133	! 10.1 Declarations
3134
3135	USE typesizes, ONLY: wp => EightByteReal
3136
3137	IMPLICIT NONE
3138
3139	REAL(wp), DIMENSION(:), INTENT(inout) :: Ph ! Phase --> accumulated phase
3140	INTEGER, OPTIONAL, INTENT(in) :: Sign ! Phase change sign
3141	! Pi already defined as parameter in coordinates module. Confuses pgf95.
3142	REAL(wp), PARAMETER :: pi1 = 3.141592653589793238_wp
3143	INTEGER :: i ! Array index
3144	INTEGER :: PSign ! Phase change sign
3145
3146	! 10.2 Determine phase change sign
3147
3148	IF (.NOT. PRESENT(Sign)) THEN
3149	PSign = 0
3150	ELSE
3151	PSign = Sign
3152	ENDIF
3153
3154	! 10.3 Accumulate phase
3155
3156	IF (PSign == 0) THEN
3157	DO i=2,SIZE(Ph)
3158	Ph(i) = Ph(i-1) + MODULO(Ph(i)-Ph(i-1)+pi1, 2.0_wp*pi1) - pi1
3159	ENDDO
3160	ELSEIF (PSign > 0) THEN
3161	DO i=2,SIZE(Ph)
3162	Ph(i) = Ph(i-1) + MODULO(Ph(i)-Ph(i-1), 2.0_wp*pi1)
3163	ENDDO
3164	ELSEIF (PSign < 0) THEN
3165	DO i=2,SIZE(Ph)
3166	Ph(i) = Ph(i-1) + MODULO(Ph(i)-Ph(i-1)+2.0_wppi1, 2.0_wppi1) - 2.0_wp*pi1
3167	ENDDO
3168	ENDIF
3169
3170	END SUBROUTINE Accumulate_Phase
3171
3172	!-------------------------------------------------------------------------------
3173	! 11. Handle time format of EUM files
3174	!-------------------------------------------------------------------------------
3175
3176	SUBROUTINE abstimetoDT(i, r, DTocc)
3177
3178	! Based on 'Practical Ephemeris Calculations' by Oliver Montenbruck
3179	! (Springer-Verlag, 1989). Added handling of hour, seconds as well.
3180	!
3181	USE ropp_io_types, ONLY: DT7type
3182
3183	IMPLICIT NONE
3184
3185	INTEGER, INTENT(in) :: i ! number of days since 2000-01-01 00:00:00
3186	REAL(KIND(1.0D0)), INTENT(in) :: r ! seconds since start of day
3187	TYPE(DT7type), INTENT(inout) :: DTocc
3188	REAL(KIND(1.0D0)) :: h, mi, s, ms
3189	INTEGER :: a, b, c, d, e, f, y, m, dd, jd
3190
3191	! calculate JD from input, 2451545 is JD of 2000-01-01
3192	jd = i + 2451545
3193	a = INT(jd+0.5D0)
3194
3195	IF (a < 2299161) THEN
3196	c = a + 1524
3197	ELSE
3198	b = INT( (a - 1867216.25D0) / 36524.25D0 )
3199	c = a + b - INT(b/4D0) + 1525
3200	ENDIF
3201
3202	d = INT( ( c-122.1D0 ) / 365.25D0 )
3203	e = INT( 365.25D0*d)
3204	f = INT( (c-e) / 30.6001D0 )
3205	dd = c - e - INT( 30.6001*f ) + MOD( ( jd+0.5D0 ), DBLE(a) )
3206	m = f - 1 - 12*INT( f/14D0 )
3207	y = d - 4715 - INT( ( 7+m )/10.D0 )
3208
3209
3210	DTocc%Year = y
3211	DTocc%Month = m
3212	DTocc%Day = dd
3213	h = FLOOR(r/3600.D0)
3214	DTocc%Hour = INT(h)
3215	mi = FLOOR( (r - h*3600.D0) / 60.D0 )
3216	s = FLOOR( (r - h3600.D0 - mi60.D0 ) )
3217	ms = (r - h3600.D0 - mi60.D0 - s) * 1000.D0
3218	DTocc%Hour = INT(h)
3219	DTocc%Minute = INT(mi)
3220	DTocc%Second = INT(s)
3221	DTocc%Msec = INT(ms)
3222
3223	END SUBROUTINE abstimetoDT
3224
3225	!-------------------------------------------------------------------------------
3226	! 12. Find where reals are NaN (used by EUMETSAT to indicate missing data)
3227	!-------------------------------------------------------------------------------
3228
3229	FUNCTION ropp_io_isnan(x) RESULT(lnan) ! Says where reals are NaNs.
3230
3231	USE typesizes, ONLY: wp => EightByteReal
3232
3233	IMPLICIT NONE
3234
3235	REAL(wp), DIMENSION(:), INTENT(IN) :: x
3236	LOGICAL, DIMENSION(SIZE(x)) :: lnan
3237	INTEGER :: k
3238
3239	lnan(:) = .FALSE.
3240
3241	! g95 doesn't like this.
3242	! WHERE ( &
3243	! (x /= x) .OR. &
3244	! (x + 1.0_wp == x) .OR. &
3245	! ((x > 0) .EQV. (x <= 0)) &
3246	! ) lnan = .TRUE.
3247
3248	DO k=1,SIZE(x)
3249	IF ( &
3250	(x(k) /= x(k)) .OR. &
3251	(x(k) + 1.0_wp == x(k)) .OR. &
3252	((x(k) > 0) .EQV. (x(k) <= 0)) &
3253	) lnan(k) = .TRUE.
3254	END DO
3255
3256	END FUNCTION ropp_io_isnan
3257
3258
3259	END SUBROUTINE ropp_io_read_ncdf_get_eumdata

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