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GitHub Issue NOAA-EMC/GSI#538 Add options to tune weights of mixed ensemble for FV3-LAM EnVar #541
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Mar 17, 2023
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Here, the namelist parameters like l_both_fv3sar_gfs_ens had been readin as well as weight_ens_gfs and weight_ens_fv3sar, right? then those assignments of the later two parameters (weight_ens??) will override the readin values for them. So, they will always be one.
Do I misunderstand something here?
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In the case of l_both_fv3sar_gfs_ens=.false., only either global or regional ensemble is used, so weight_ens_gfs and weight_ens_fv3sar should be one (only either is used). To force that, I added this part. (If ensemble B should be tuned in this case, please don't set weight_ens_gfs or weight_ens_fv3sar but set beta_e0.) In the case of l_both_fv3sar_gfs_ens=.true., weight_ens_gfs and weight_ens_fv3sar are not overwritten and the parameters in the namelist are used.
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@shoyokota Thanks for your explanation . That does make sense.
This question is resolved
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@shoyokota Could you please run a regression test and document the test result here.
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@ShunLiu-NOAA I tried regression tests on Orion, but global 3dvar/4denvar/4dvar tests were failed because accesses to some files belonging to group "rstprod" are not permitted. I requested access to the NOAA RDHPCS Program, but it has not been accepted yet after two weeks. Even after it is accepted, I can run tests only on Orion. Could I ask someone to run the regression tests on my behalf?
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@TingLei-NOAA Could you please run a regression test on HERA or WCOSS2?
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@ShunLiu-NOAA Sure, I will give an update here when I have finished the regression tests.