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Create a new yaml for CrIS-FSR data based on the above sample yaml files and the bufr table of CrIS-FSR data
Test and revise the yaml file using bufr2ioda utility, have a working yaml file to generate ioda nc file for CrIS-FSR data
Extract radiance data from ioda nc file and convert radiance data to brightness temperature using the inverse of Planck Function (a function in the CRTM library), and plot the brightness temperature/radiance
Read the radiance data from bufr file and convert them to brightness temperature, plot the brightness temperature/radiance
Compare the BT/radiance from step 3) and 4), if have difference, find the problem and go back to step 2)
If needed in the future, would make appropriate changes to the yaml file when testing the CrIS-FSR ioda file in JEDI
Things to pay special attention:
variable in yaml file: spectralRadiance vs. scaledSpectralRadiance
unit of radiance: The unit in bufr file for radiance is W M-2 SR-1 CM, in GSI, when calling inverse of the Planck Function to convert radiance to brightness temperature, GSI converts W to mW (x 1000.). Would need to make sure the right unit is used in the ioda file and the later conversion in JEDI.
Convert CrIS-FSR bufr files to ioda format using bufr2ioda.x (non-python version) utility, working on yaml file for CrIS-FSR data.
reference yaml files from GDASApp an JCSDA/ioda-converters:
bufr2ioda_iasi.yaml: https://github.com/NOAA-EMC/GDASApp/blob/develop/parm/ioda/bufr2ioda/bufr2ioda_iasi.yaml
bufr2ioda_atms.yaml: https://github.com/NOAA-EMC/GDASApp/blob/develop/parm/ioda/bufr2ioda/bufr2ioda_atms.yaml
bufr_cris.yaml: https://github.com/JCSDA-internal/ioda-converters/blob/da03e61950cd522c2ca3afa3c45ebebd0ebb380b/test/testinput/bufr_cris.yaml
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