create a 13km conus domain 3dVar run using static background error covariance from Bump #5
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Ting,
Can you tell me how to start this work? Thanks.
hui
…On Thu, Nov 9, 2023 at 2:28 PM TingLei-NOAA ***@***.***> wrote:
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Hui,
I am trying to to sort out how to do this. We can discuss this on the
issue webpage, that is one benefit opening an issue.
Regards,
Ting
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Ting Lei
Physical Scientist, Contractor with Lynker in support of
EMC/NCEP/NWS/NOAA
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On Mon, Nov 13, 2023 at 11:57 AM Hui Liu ***@***.***> wrote:
Ting,
Can you tell me how to start this work? Thanks.
hui
On Thu, Nov 9, 2023 at 2:28 PM TingLei-NOAA ***@***.***>
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Bump official documentation from JCSDA: https://jointcenterforsatellitedataassimilation-jedi-docs.readthedocs-hosted.com/en/latest/inside/jedi-components/saber/BUMP.html. |
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I think what you are looking for is the yaml that computes stddev, right? I use the following: /scratch1/NCEPDEV/da/Andrew.Tangborn/JEDI/gdas_app_july28_2023/work_aero_c96/staticb_var_aero.yaml for aerosols fv3-jedi (so it might be a bit different from what you need). This step is after the staticb_prep_YYYYMMDD.yaml step. I have examples of staticb_prep in the same directory. It is a bit confusing, but it creates two kinds of files: var and m4 (probably moment files), that are needed for computing the stddev files. The hardest part is that you need to have 1. An ensemble of background files at each time and 2. Three different times. I'm not running an ensemble, so I got around this by using 3-4 different experiments that have different physics or emissions, etc and call that my ensemble. Have a look at my staticb_prep yaml files in that directory, and also notice the Data directories below them. You'll need to construct something very similar. |
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thanks.
…On Tue, Nov 14, 2023 at 1:56 PM Andy Tangborn ***@***.***> wrote:
I think what you are looking for is the yaml that computes stddev, right?
I use the following:
/scratch1/NCEPDEV/da/Andrew.Tangborn/JEDI/gdas_app_july28_2023/work_aero_c96/staticb_var_aero.yaml
for aerosols fv3-jedi (so it might be a bit different from what you need).
This step is after the staticb_prep_YYYYMMDD.yaml step.
I have examples of staticb_prep in the same directory. It is a bit
confusing, but it creates two kinds of files: var and m4 (probably moment
files), that are needed for computing the stddev files. The hardest part is
that you need to have 1. An ensemble of background files at each time and
2. Three different times. I'm not running an ensemble, so I got around this
by using 3-4 different experiments that have different physics or
emissions, etc and call that my ensemble.
Have a look at my staticb_prep yaml files in that directory, and also
notice the Data directories below them. You'll need to construct something
very similar.
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Another helpful link on the static B training with bump https://drive.google.com/file/d/1jiflsG-p5g-_g-AsBuvhIxdKQTkJPX-9/view?usp=sharing. |
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Following the regional aero 's procedure as @andytangborn listed/explained (Thanks again), I have finished a set of runs for our 13km conus test case . Those runs succeed to completion and without apparent problems. Further verification /validation , especially by comparison with GSI is to be done in the future.
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Awesome!
It will be great if we can do this for the 00Z cycle as well.
…On Wed, Nov 15, 2023 at 10:43 AM TingLei-NOAA ***@***.***> wrote:
Following the regional aero 's procedure as @andytangborn
<https://github.com/andytangborn> listed/explained (Thanks again), I have
finished a set of runs for our 13km conus run . Those runs succeed to
completion and without apparent problems. Further verification /validation
, especially by comparison with GSI is to be done in the future.
In the following , scripts to run each step are listed, all information
needed to repeat those runs could be found through tracing those scripts
(and yaml pointed in them).
On hera in
/scratch2/NCEPDEV/fv3-cam/Ting.Lei/dr-emc-regional_jedi/dr-rrfs_rundir/hyb-jedianl_tm05_00_gsidiag_obs_new_jedi,
1. d-static-prep.sh ( to run the prep step to get raw estimates of
stddev and other moments).
2. d-static-sdtdev.sh ( to get the calibrated estimates of stddev (
only one cycle raw data (generated in the previous step ) is used).
3)d-3dvar.sh ( 3dvar run)
3. d-hyb3dvar.sh ( hybrid 3dvar run) .
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It is completed and, a rrfs ctest for the final hybrid analysis has been added to RDAS rrfs-test |
On top of existing 13km conus domain pure Ens3Dvar run, we want to add in the bump based static background covariance component.
Hence, we will first create a static 3Dvar.
This issue will document how it is done and provide a place for comments/discussions.
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