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Interpolating the GDAS ensemble onto the HAFS grid #3
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@XuLu-NOAA As we discussed, chgres can be used to generate cold start IC for HAFS domain. If you have to use restart file, you can start an one-timestep forecast to get restart file. The method used in RRFS-EnKF initialization. |
Thanks, in that case, one-time step GDAS-interpolated HAFS ensemble can be generated using existing functions in HAFS workflow with some modifications. |
Only tested with the coupled UFS and the marine DA tasks: ``` Test project /scratch1/NCEPDEV/stmp2/Guillaume.Vernieres/runs/prs/global-workflow/sorc/gdas.cd/build/gdas/test/gw-ci Test #1: C48mx500_3DVarAOWCDA Test #2: C96_atmaerosnowDA Test #3: C96C48_ufs_hybatmDA Test #4: C48mx500_3DVarAOWCDA_gdasfcst_202103241200 Test #5: C48mx500_3DVarAOWCDA_gdasprepoceanobs_202103241800 Test #6: C48mx500_3DVarAOWCDA_gdasocnanalprep_202103241800 Test #7: C48mx500_3DVarAOWCDA_gdasocnanalbmat_202103241800 Test #8: C48mx500_3DVarAOWCDA_gdasocnanalrun_202103241800 Test #9: C48mx500_3DVarAOWCDA_gdasocnanalchkpt_202103241800 Test #10: C48mx500_3DVarAOWCDA_gdasocnanalpost_202103241800 Total Tests: 10 ```
**What was done:** - reorganization/code tidy to facilitate the addition of a GFSv17 prototype ctest - exclude the new ctest by default, the user will have to run ```cmake -DRUNGWCI=ON .``` on an old build to configure the new ctest He're the current list: ``` Test project /scratch1/NCEPDEV/stmp2/Guillaume.Vernieres/runs/prs/global-workflow/sorc/gdas.cd/build/gdas/test/gw-ci Test #1: WCDA-3DVAR-C48mx500 Test #2: WCDA-3DVAR-C48mx500_gdasfcst_202103241200 Test #3: WCDA-3DVAR-C48mx500_gdasprepoceanobs_202103241800 Test #4: WCDA-3DVAR-C48mx500_gdasocnanalprep_202103241800 Test #5: WCDA-3DVAR-C48mx500_gdasocnanalbmat_202103241800 Test #6: WCDA-3DVAR-C48mx500_gdasocnanalrun_202103241800 Test #7: WCDA-3DVAR-C48mx500_gdasocnanalchkpt_202103241800 Test #8: WCDA-3DVAR-C48mx500_gdasocnanalpost_202103241800 Test #9: Aero-Snow-3DVAR-C96 Test #10: Aero-Snow-3DVAR-C96_gdasfcst_202112201200 Test #11: Atm-hyb-C96C48 Test #12: Atm-hyb-C96C48_gdasfcst_202402231800 Test #13: GFSv17-3DVAR-C384mx025 Test #14: GFSv17-3DVAR-C384mx025_gdasfcst_202106300000 Test #15: GFSv17-3DVAR-C384mx025_gdasprepoceanobs_202106300600 Test #16: GFSv17-3DVAR-C384mx025_gdasocnanalprep_202106300600 Test #17: GFSv17-3DVAR-C384mx025_gdasocnanalbmat_202106300600 Test #18: GFSv17-3DVAR-C384mx025_gdasocnanalrun_202106300600 Test #19: GFSv17-3DVAR-C384mx025_gdasocnanalchkpt_202106300600 Test #20: GFSv17-3DVAR-C384mx025_gdasocnanalpost_202106300600 Test #21: GFSv17-3DVAR-C384mx025_gdasocnanalvrfy_202106300600 Test #22: GFSv17-3DVAR-C384mx025_gdasprep_202106300600 Test #23: GFSv17-3DVAR-C384mx025_gdasanal_202106300600 Total Tests: 23 ``` --------- Co-authored-by: Cory Martin <[email protected]>
Description
Ensemble covariance is needed for EnVar DA. Since we cannot currently afford an HAFS ensemble, using the GDAS ensemble is a substitute option. However, JEDI requires the ensemble to be on the model grid during DA. Therefore, we need to develop an efficient method to interpolate the GDAS ensemble onto the HAFS grid for DA.
Proposed solution
It is better if we can do it using existing JEDI functions.
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