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update TEMPEST converter for uplifted data #1610

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merged 9 commits into from
Feb 6, 2025
Merged

update TEMPEST converter for uplifted data #1610

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5e25444
update converter for uplifted public released data from COWVR attempt…
BenjaminRuston Jan 25, 2025
806fc4c
add a sample of COWVR data
BenjaminRuston Jan 29, 2025
20f95b2
add some new files to CMakeLists
BenjaminRuston Jan 29, 2025
8533c87
add the ctest into the CMakeLists
BenjaminRuston Jan 29, 2025
1cb9a39
add the file to CMakeLists in src
BenjaminRuston Jan 29, 2025
986035a
update TEMPEST converter for uplifted data
BenjaminRuston Jan 30, 2025
895fa28
Merge branch 'develop' into feature/tempest4ingestsuite
BenjaminRuston Jan 30, 2025
17fce4c
fix another GeolocationAndFlags
ashley314 Jan 30, 2025
29a8df5
enable the quality control based on internal flags to reduce data
BenjaminRuston Jan 31, 2025
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33 changes: 16 additions & 17 deletions src/hdf5/cowvr_hdf5_2ioda.py
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Original file line number Diff line number Diff line change
Expand Up @@ -166,29 +166,28 @@ def get_tempest_data(f, obs_data, add_qc=True):
WMO_sat_ID = get_WMO_satellite_ID(f['Metadata']['InstrumentShortName'][0].decode("utf-8"))

# "Geolocation and flags"
sensor_altitude = np.array(f['GeolocationAndFlags']['sat_alt'], dtype='float32')
# sat_alt_flag = np.array(f['GeolocationAndFlags']['sc_att_flag'], dtype='int32')
sat_alt_flag = np.array(f['GeolocationAndFlags']['obs_qual_flag'], dtype='int32')
obs_data[('latitude', metaDataName)] = np.array(f['GeolocationAndFlags']['obs_lat'], dtype='float32')
obs_data[('longitude', metaDataName)] = np.array(f['GeolocationAndFlags']['obs_lon'], dtype='float32')

sensor_altitude = np.array(f['Geolocation']['sat_alt'], dtype='float32')
qc_flag = f['CalibratedSceneTemperatures']['obs_qual_flag']
solar_array_flag = f['CalibratedSceneTemperatures']['solar_array_flag']
obs_data[('latitude', metaDataName)] = np.array(f['Geolocation']['obs_lat'], dtype='float32')
obs_data[('longitude', metaDataName)] = np.array(f['Geolocation']['obs_lon'], dtype='float32')
obs_data[('sensorChannelNumber', metaDataName)] = np.array(np.arange(5)+1, dtype='int32')
obs_data[('sensorScanPosition', metaDataName)] = np.array(f['GeolocationAndFlags']['scan_pos'], dtype='int32')
obs_data[('solarZenithAngle', metaDataName)] = np.array(f['GeolocationAndFlags']['sat_solar_zen'], dtype='float32')
obs_data[('solarAzimuthAngle', metaDataName)] = np.array(f['GeolocationAndFlags']['sat_solar_az'], dtype='float32')
obs_data[('sensorZenithAngle', metaDataName)] = np.array(f['GeolocationAndFlags']['earth_inc_ang'], dtype='float32')
obs_data[('sensorAzimuthAngle', metaDataName)] = np.array(f['GeolocationAndFlags']['earth_az_ang'], dtype='float32')
# instr_scan_angle = np.array(f['GeolocationAndFlags']['instr_scan_ang'], dtype='float32')
obs_data[('sensorScanPosition', metaDataName)] = np.array(f['Geolocation']['scan_pos'], dtype='int32')
obs_data[('solarZenithAngle', metaDataName)] = np.array(f['Geolocation']['sat_solar_zen'], dtype='float32')
obs_data[('solarAzimuthAngle', metaDataName)] = np.array(f['Geolocation']['sat_solar_az'], dtype='float32')
obs_data[('sensorZenithAngle', metaDataName)] = np.array(f['Geolocation']['earth_inc_ang'], dtype='float32')
obs_data[('sensorAzimuthAngle', metaDataName)] = np.array(f['Geolocation']['earth_az_ang'], dtype='float32')
obs_data[('sensorViewAngle', metaDataName)] = compute_scan_angle(
np.array(f['GeolocationAndFlags']['instr_scan_ang'], dtype='float32'),
np.array(f['Geolocation']['instr_scan_ang'], dtype='float32'),
sensor_altitude,
np.array(f['GeolocationAndFlags']['earth_inc_ang'], dtype='float32'),
qc_flag=sat_alt_flag)
np.array(f['Geolocation']['earth_inc_ang'], dtype='float32'),
qc_flag=qc_flag)

nlocs = len(obs_data[('latitude', metaDataName)])
obs_data[('satelliteIdentifier', metaDataName)] = np.full((nlocs), WMO_sat_ID, dtype='int32')
obs_data[('dateTime', metaDataName)] = np.array(get_epoch_time(f['GeolocationAndFlags']['time_string']), dtype='int64')
qc_flag = f['GeolocationAndFlags']['obs_qual_flag']
solar_array_flag = f['GeolocationAndFlags']['solar_array_flag']
obs_data[('dateTime', metaDataName)] = np.array(get_epoch_time(f['Geolocation']['time_string']), dtype='int64')


nchans = len(obs_data[('sensorChannelNumber', metaDataName)])
obs_data[('brightnessTemperature', obsValName)] = np.array(
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