Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

update TEMPEST converter for uplifted data #1610

Merged
merged 9 commits into from
Feb 6, 2025
Merged

update TEMPEST converter for uplifted data #1610

Changes from 7 commits
Commits
Show all changes
9 commits
Select commit Hold shift + click to select a range
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
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
33 changes: 16 additions & 17 deletions src/hdf5/cowvr_hdf5_2ioda.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -161,34 +161,33 @@ def get_data_from_files(zfiles):
return obs_data


def get_tempest_data(f, obs_data, add_qc=True):
def get_tempest_data(f, obs_data, add_qc=False):

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'),
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Does this need to be updated to np.array(f['Geolocation']['instr_scan_ang'], dtype='float32'),?

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I updated this line and got the converter to successfully run for TEMPEST and COWVR. Thanks!

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(
Expand Down