Adding I/O for direct analysis of near-surface wind gust for RRFS-based 3DRTMA #726
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…ed 3DRTMA (#730) <!-- PLEASE READ --> <!-- Before opening a PR, please note these guidelines: - Each PR should only address ONE topic and have an associated issue - No hardcoded or paths to personal directories should be present - No temporary or backup files should be committed - Any code that was disabled by being commented out should be removed --> **Description** <!-- Please include relevant motivation and context. --> <!-- Please include a summary of the change and which issue is fixed. --> <!-- List any dependencies that are required for this change. --> To improve the analysis of the near-surface wind gust in 3DRTMA, the observations of near-surface wind gust would be analyzed directly in GSI (3DVar and Hybrid 3DEnVar), instead of being a derived product from the near-surface wind analysis. Since the core subroutines for direct variational assimilation of wind gust (e.g., setupgust.f90, intgust.f90, stpgust.f90, etc.) had already been implemented in GSI for 2DRTMA, so in the work the development in GSI mainly focus on adding I/O of 2-D wind gust firstguess and analysis fields for RRFS-based 3DRTMA, and some minor modifications in observation and background error for wind gust, options to control the analysis of wind gust, etc. <!-- Please provide reference to the issue this pull request is addressing. --> <!-- For e.g. Fixes #IssueNumber --> This PR is to address the issue #726 : Adding I/O for direct analysis of near-surface wind gust for RRFS-based 3DRTMA Fixes #726 **Type of change** Please delete options that are not relevant. - [x] New feature (non-breaking change which adds functionality) **How Has This Been Tested?** <!-- Please describe the tests that you ran to verify your changes and on the platforms these tests were conducted. --> <!-- Provide instructions so we can reproduce. --> <!-- Please also list any relevant details for your test configuration --> **Checklist** - [x] My code follows the style guidelines of this project - [x] I have performed a self-review of my own code - [x] I have commented my code, particularly in hard-to-understand areas - [x] New and existing tests pass with my changes tested with a real case - 2024-02-20_12:00Z, 1. dry-run (using my updated GSI code with wind gust analysis, but actually no wind gust obs is analyzed, so-called dryrun) is compared to control-run (original GSI code running without wind gust obs): the results are identical. This indicates that if without analyzing wind-gust obs, then the updated code generates the analysis identical to the analysis of original/control code. Or say, the added code does not have influence on the other part of code. 2. real case run with updated GSI code to analyze the obs of wind gust: The following figure shows the used observations of near-surface wind gust:  the following figure shows the analysis increments:  - [x] Any dependent changes have been merged and published - [x] Regression tests on WCOSS2 (Cactus) and Hera (Rocky-8) : my updated GSI commit [#f91f247d](GangZhao-NOAA@f91f247)) vs control/original GSI code (commit [#6d9ebbb7](6d9ebbb)) Here is the reports of the regression tests on WCOSS2 (Cactus): ~~~ [gang.zhao@clogin02:build] (feature/windgust_in_3dvar_for_3drtma)$ ctest -j 7 Test project /lfs/h2/emc/da/save/gang.zhao/WorkDir/ProdGSI_Dev/gsi_dev/build Start 1: global_4denvar Start 2: rtma Start 3: rrfs_3denvar_glbens Start 4: netcdf_fv3_regional Start 5: hafs_4denvar_glbens Start 6: hafs_3denvar_hybens Start 7: global_enkf 1/7 Test #4: netcdf_fv3_regional .............. Passed 483.15 sec 2/7 Test #3: rrfs_3denvar_glbens .............. Passed 486.74 sec 3/7 Test #7: global_enkf ...................... Passed 850.98 sec 4/7 Test #2: rtma ............................. Passed 970.28 sec 5/7 Test #6: hafs_3denvar_hybens .............. Passed 1152.82 sec 6/7 Test #5: hafs_4denvar_glbens .............. Passed 1213.93 sec 7/7 Test #1: global_4denvar ................... Passed 1683.16 sec 100% tests passed, 0 tests failed out of 7 Total Test time (real) = 1683.19 sec ~~~ Here is the reports of the regression tests on Hera (Rocky8): ~~~ (base) [Gang.Zhao@hfe11:build] (feature/windgust_in_3dvar_for_3drtma)$ ctest -j 7 Test project /scratch1/NCEPDEV/da/Gang.Zhao/ProdGSI_dev/gsi_dev/build Start 1: global_4denvar Start 2: rtma Start 3: rrfs_3denvar_glbens Start 4: netcdf_fv3_regional Start 5: hafs_4denvar_glbens Start 6: hafs_3denvar_hybens Start 7: global_enkf 1/7 Test #4: netcdf_fv3_regional .............. Passed 491.53 sec 2/7 Test #3: rrfs_3denvar_glbens ..............***Failed 495.27 sec 3/7 Test #2: rtma ............................. Passed 982.45 sec 4/7 Test #6: hafs_3denvar_hybens .............. Passed 1168.99 sec 5/7 Test #7: global_enkf ...................... Passed 1239.77 sec 6/7 Test #5: hafs_4denvar_glbens ..............***Failed 1347.87 sec 7/7 Test #1: global_4denvar ................... Passed 1974.45 sec 71% tests passed, 2 tests failed out of 7 Total Test time (real) = 1974.91 sec The following tests FAILED: 3 - rrfs_3denvar_glbens (Failed) 5 - hafs_4denvar_glbens (Failed) Errors while running CTest Output from these tests are in: /scratch1/NCEPDEV/da/Gang.Zhao/ProdGSI_dev/gsi_dev/build/Testing/Temporary/LastTest.log Use "--rerun-failed --output-on-failure" to re-run the failed cases verbosely. (base) [Gang.Zhao@hfe11:build] (feature/windgust_in_3dvar_for_3drtma)$ ctest -R rrfs_3denvar_glbens Test project /scratch1/NCEPDEV/da/Gang.Zhao/ProdGSI_dev/gsi_dev/build Start 3: rrfs_3denvar_glbens 1/1 Test #3: rrfs_3denvar_glbens .............. Passed 430.52 sec 100% tests passed, 0 tests failed out of 1 Total Test time (real) = 430.55 sec (base) [Gang.Zhao@hfe11:build] (feature/windgust_in_3dvar_for_3drtma)$ ctest -R hafs_4denvar_glbens Test project /scratch1/NCEPDEV/da/Gang.Zhao/ProdGSI_dev/gsi_dev/build Start 5: hafs_4denvar_glbens 1/1 Test #5: hafs_4denvar_glbens .............. Passed 1225.37 sec 100% tests passed, 0 tests failed out of 1 Total Test time (real) = 1225.39 sec ~~~ **Note**: _When I was running the regression tests, GSI code was just updated to the latest commit [#b53740a7](GangZhao-NOAA@f91f247). Considering the frequent update in EMC GSI code recently and saving the time, after this PR has been reviewed and approved by peer-reviewers, I will update the code to latest EMC GSI commit, then re-run the regression tests for final approval.
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To improve the analysis of the near-surface wind gust in 3DRTMA, the observations of near-surface wind gust would be analyzed directly in GSI (3DVar and Hybrid 3DEnVar), instead of being a derived product from the near-surface wind analysis.
Since the core subroutines for direct variational assimilation of wind gust (e.g., setupgust.f90, intgust.f90, stpgust.f90, etc.) had already been implemented in GSI for 2DRTMA, so in the work the development in GSI mainly focus on adding I/O of 2-D wind gust firstguess and analysis fields for RRFS-based 3DRTMA, and some minor modifications in observation and background error for wind gust, options to control the analysis of wind gust, etc.
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