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Test BUFR converted IODA obs input to H(x) + initial error assignment + read routine QC
Test BUFR converted IODA obs input to H(x) + initial error assignment + read routine QC + setup routine QC
Issues found in the existing data filtering yaml (omi_aura.yaml) are documented here:
No observation error assignment (all filled with missing values)
Scan position + latitude check is not accurate
Gross check was not implemented correctly
Quality control variable types do not comply with IODA convention --- they need to be integers
Quality control variable names do not comply with IODA convention --- should be camel case
Updates made and tested
Added observation error assignment and fixed scan position/latitude and gross check
The quality control flags (toqc, toqf, and afbo) are integers. Modified the filters accordingly in the YAML
The quality control flags names do not comply IODA convention (should be camel case).
TOQC - total ozone error flag (0, 1 are good) ---> totalOzoneQualityCode
AFBO - algorithm flag ( exclude 3, 13 indicating data retrieved with c-pair algorithm using 331 and 360 nm) ---> bestOzoneAlgorithmFlag
End-to-End Tests for OMPS TC processing
Issues found in the existing data filtering yaml (omi_aura.yaml) are documented here:
Updates made and tested
TOQC - total ozone error flag (0, 1 are good) ---> totalOzoneQualityCode
AFBO - algorithm flag ( exclude 3, 13 indicating data retrieved with c-pair algorithm using 331 and 360 nm) ---> bestOzoneAlgorithmFlag
QC Procedures: (Data thinning not applied)
read routine QC
setup routine QC
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