Update feature/gdas-validation with develop #860
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…te obsfile for satwnd.abi_goes-16
Two updates for GOES AMV 1. BUFR Converter: - remove wind direction and speed - change sensorZenithAngle to satelliteZenithAngle 2. UFO Filters: - change `sensorZenithAngle` to `satelliteZenithAngle` - add `linear obs operator` section The declaration of `linear obs operator" is necessary for GOES AMV since there is no linearized component for applying the 10-meter factor. The increments look reasonable: ``` 0: ---------------------------------------------------------------------------------------------------- 0: Increment print | number of fields = 8 | cube sphere face size: C768 0: eastward_wind | Min:-1.642335e-01 Max:+1.660654e-01 RMS:+2.746685e-04 0: northward_wind | Min:-2.120068e-01 Max:+1.663539e-01 RMS:+2.631295e-04 0: air_temperature | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: surface_pressure | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: specific_humidity | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: cloud_liquid_ice | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: cloud_liquid_water | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: ozone_mass_mixing_ratio | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: ---------------------------------------------------------------------------------------------------- ``` The UFO filter results vs. GSI -- looks good  
Rather than each new ob type being manually added to the list, we can use `glob.glob` to get the list of available observation types.
) Two updates for MetOp SCATWIND; one minor updates for GOES AMV 1. BUFR Converter: - remove wind direction and speed - add `stationElevation` as zero 2. UFO Filters: - add linear obs operator section The declaration of `linear obs operator" is necessary for GOES AMV since there is no linearized component for applying the 10-meter factor. - add `Gaussian Thinning` filter to thin data with 75 km box (equal box size, prefer data close to central of the box) 3. For GOES AMV YAML files, change output data extension from `nc4` to `nc` UFO vs. GSI O-F and QC comparison: O-F and data count passed look close   3Dvar increments are reasonable with MetOp-B SCATWIND alone. ``` 0: ---------------------------------------------------------------------------------------------------- 0: Increment print | number of fields = 8 | cube sphere face size: C768 0: eastward_wind | Min:-1.741092e+00 Max:+1.712287e+00 RMS:+2.282584e-03 0: northward_wind | Min:-1.825957e+00 Max:+1.930385e+00 RMS:+2.496075e-03 0: air_temperature | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: surface_pressure | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: specific_humidity | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: cloud_liquid_ice | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: cloud_liquid_water | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: ozone_mass_mixing_ratio | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: ---------------------------------------------------------------------------------------------------- ``` 3DVar increments are also reasonable with MetOp-B + MetOp-A assimilated
…oda.x (NOAA-EMC#730) This PR allows for all obtypes to be processed in two loops. We still need to figure out a way to process these in parallel (somewhat).
Using python multiprocessing to generate obs in parallel. The current list of obs goes from 10+ minutes to completing in ~5.5 minutes.
@RussTreadon-NOAA noted that `obs linear operator` should be `linear obs operator` in the GOES-17 satwind YAML. This fixes that.
This reduces runtime further to run everything in one parallel pool. Now, things complete in under 4 minutes (as of now).
…A-EMC#746) Adding satwinds from the Advanced Himawari Imager (AHI) from Himawari-8 to GDASApp end-to-end testing new files include: parm/atm/obs/config/satwind_ahi_h8.yaml: QC filter YAML for AHI Himawari-8 satwinds parm/ioda/bufr2ioda/bufr2ioda_satwind_amv_ahi.json: JSON containing data format, sensor, and satellite information for AHI Himawari-8 satwinds ush/ioda/bufr2ioda/bufr2ioda_satwind_amv_ahi.py: bufr2ioda code for extracting AHI Himawari-8 satwinds from BUFR modified files include: ush/ioda/bufr2ioda/run_bufr2ioda.py: added `"satwind_amv_ahi"` to list `BUFR_py` See NOAA-EMC#741 for details on testing. JEDI/GSI comparisons look good with GSI thinning turned off, but there are large ob-count disparities both before and after QC when comparing GSI+thinning to JEDI+thinning. The tested `Gaussian Thinning` filter is included in the YAML but commented out with a note. --------- Co-authored-by: Brett Hoover <[email protected]> Co-authored-by: Cory Martin <[email protected]>
Instead of writing the filled out `.json` and `.yaml` files to `$COM_OBS`, we write them to `$DATA` so that they get purged unless `KEEPDATA="YES"`
…#753) Updating GNSSRO converter and adding the yaml file to GDASApp end-to-end testing based on [NOAA-EMC#712](NOAA-EMC#712). New file: parm/atm/obs/config/gnssro.yaml: Added QC filters in the YAML Updated files: parm/ioda/bufr2ioda/bufr2ioda_gnssro_bufr.json: Updated the satellite information ush/ioda/bufr2ioda/bufr2ioda_gnssro_bufr.py: Updated pccf, qfro, and satelliteAscending flag Refer to [issue NOAA-EMC#750](NOAA-EMC#750) for testing details. JEDI/GSI comparisons revealed a cutoff near obs=0.03 Rad due to super refraction 2. The number of observations after QC in JEDI is also inconsistent with GSI.
List of items to be added in this PR: - BUFR Converter: Add YAML for converting ATMS BUFR to IODA - The ObsValue is antenna temperature - Input BUFR is normal feel - Testing YAML: re-evaluation results due to update CRTM from v2.3.0 to v2.4.1-jedi.1 - atms_npp_noqc.yaml --- 100% replication - atms_npp.yaml --- 100 % replication - atms_n20_noqc.yaml --- 100 % replication - atms_n20.yaml --- ~ 1100% replication: two channel 7 observations difference - Config YAML: * add two read routine QC: data thinning and removal of data from scan edge - atms_npp.yaml - atms_n20.yaml - Paring PR in JCSDA UFO repository - This PR also has a [paring PR in JCSDA UFO repository](JCSDA-internal/ufo#3094). - It is OK to merge this one into GDASApp before the paring UFO PR - The related test data (obs and geoval files from GSI) for UFO Evaluation have been updated (due to CRTM-2.4.1 update) on ORION and HERA. Notes: - End-to-end testing completed without problem. - However, the filter results show one of the filters, 88-165 GHz scattering index check, tossed more data compared to GSI. - The excess screening from the 88-165 GHz scattering index check is under investigation and will be reported separately. - Please check comments below for validation results
…o-end testing (NOAA-EMC#764) Adding satwinds from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) from METEOSAT-8 to GDASApp end-to-end testing new files include: parm/atm/obs/config/satwind_seviri_m8.yaml: QC filter YAML for SEVIRI METEOSAT-8 satwinds parm/ioda/bufr2ioda/bufr2ioda_satwind_amv_seviri.json: JSON containing data format, sensor, and satellite information for SEVIRI METEOSAT-8 satwinds ush/ioda/bufr2ioda/bufr2ioda_satwind_amv_seviri.py: bufr2ioda code for extracting SEVIRI METEOSAT-8 satwinds from BUFR End-to-end testing results are provided in NOAA-EMC#758 - Note: Thinning filter is provided in YAML but turned off due to irreconcilable differences with GSI in testing. --------- Co-authored-by: Brett Hoover <[email protected]>
) Small code-change to include SEVIRI/METEOSAT-11 satwinds in end-to-end validation. This uses the hook-ins already provided by the SEVIRI/METEOSAT-8 satwinds code that was merged in NOAA-EMC#764. New file: parm/atm/obs/config/satwind_seviri_m11.yaml - this is nearly a direct copy of parm/atm/obs/config/satwind_seviri_m8.yaml, since they utilize the same filters. Only the header information has changed. Modified file: parm/ioda/bufr2ioda/bufr2ioda_satwind_amv_seviri.json - METEOSAT-11 was added to the `satellite_info` group End-to-end testing looks very similar to what was seen for SEVIRI/METEOSAT-8 satwinds, detailed in NOAA-EMC#758. A brief run-down: (LW)IR winds are in QC agreement down to a 0.02% difference (cloud-top)WV winds are in QC agreement down to a 0.20% difference VIS winds differ by 4.5%, but there are only 22 accepted winds in GSI and 23 in JEDI, the difference is a single satwind All ob, HofX, and ob-minus-HofX differences look good Increment summary, from gdasatmanlrun.log: ``` 0: ---------------------------------------------------------------------------------------------------- 0: Increment print | number of fields = 8 | cube sphere face size: C768 0: eastward_wind | Min:-3.479765e-01 Max:+3.430433e-01 RMS:+4.990993e-04 0: northward_wind | Min:-4.226316e-01 Max:+3.376561e-01 RMS:+4.889429e-04 0: air_temperature | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: surface_pressure | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: specific_humidity | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: cloud_liquid_ice | Min:+0.000000e+00 Max:+1.618770e-20 RMS:+1.293217e-23 0: cloud_liquid_water | Min:+0.000000e+00 Max:+1.474788e-19 RMS:+2.167418e-22 0: ozone_mass_mixing_ratio | Min:+0.000000e+00 Max:+0.000000e+00 RMS:+0.000000e+00 0: ---------------------------------------------------------------------------------------------------- ``` Co-authored-by: Brett Hoover <[email protected]>
In [ previous PR](NOAA-EMC#757) for ATMS, the end-to-end testing was done without data thinning. And the excessive QC filtering in clear-sky areas, compared to GSI, was found. (See [plots](NOAA-EMC#757 (comment))) This PR includes two fixes for ATMS in the end-to-end testing and one new feature: 1. fix the excess QC filtering in clear-sky areas. ---> This has a paring [UFO PR #3122](JCSDA-internal/ufo#3122) 2. add data thinning 3. add the diagnostic flags (QC) --- **This can [reproduce QC flags](NOAA-EMC#768 (comment)) from GSI in UFO** **To test updates in this PR, please check out the UFO branch: [feature/satrad](https://github.com/JCSDA-internal/ufo/tree/feature/satrad) from JCSDA-internal in gdas-validation. This branch consolidates all proposed code changes to UFO for gdas validation: UFO PR #JCSDA-internal/ufo#3122 UFO PR #JCSDA-internal/ufo#3121 UFO PR #JCSDA-internal/ufo#3094 --------- Co-authored-by: Cory Martin <[email protected]>
…MC#789) This PR includes the following: 1. YAML name change - add sensor (ABI) to the filename of observation YAML for SATWIND from GOES platforms 2. YAML name change - add sensor (ASCAT) to the filename of observation YAML for SCATWIND from MetOp platforms 3. update the YAML name changes in the list for 3dvar 4. Add `CO2` in obs forward operator and add `linear obs operator` without CO2 for ATMS These changes have no impact on 3DVar results.
) This PR includes the following updates for conventional surface pressure 1. Add observation YAML under configuration 2. Update observation YAML under testing 3. Add conv_ps to 3dvar obs list 4. Set window shift to true (time boundary is inclusive) 5. Validate 3dvar for surface (station) pressure (end-to-end) - [QC validation](NOAA-EMC#803 (comment)) - [Increments](NOAA-EMC#803 (comment)) See [PR NOAA-EMC#792 ](NOAA-EMC#792) for the BUFR converter work to convert the following surface pressure observation into IODA: - SFC - 181, 187 - SFCSHIP - 180, 183 - SONDE - 120 The related UFO evaluation (using GSI obs and geovals) results for surface pressure are documented [here](https://docs.google.com/presentation/d/1OvVMYOutxVyk0GE93Jzoh3hQVoj-dCgrwsVWDDlPT1s/edit?usp=sharing).
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feature/gdas-validationis 24 commits behinddevelop. This PR bringsfeature/gdas-validationup to date withdevelop.Resolves #859