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Add thinning for ice obs when used in LETKF#153

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guillaumevernieres merged 1 commit into
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feature/letkf_thinning
Jul 25, 2025
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Add thinning for ice obs when used in LETKF#153
guillaumevernieres merged 1 commit into
developfrom
feature/letkf_thinning

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@shlyaeva shlyaeva commented Jul 24, 2025

Thin AMSR2 ice concentration obs, only for LETKF to avoid messing with gfsv17 configuration.
I ran a test and confirmed that obs are thinned in LETKF, and not thinned in Var.

Note: requires gdas PR to work correctly.

Comment thread observations/marine/icec_amsr2_south.yaml.j2
Comment thread observations/marine/icec_amsr2_north.yaml.j2
@guillaumevernieres guillaumevernieres merged commit 4e65dd7 into develop Jul 25, 2025
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@guillaumevernieres guillaumevernieres deleted the feature/letkf_thinning branch July 25, 2025 14:42
guillaumevernieres pushed a commit to NOAA-EMC/GDASApp that referenced this pull request Jul 30, 2025
# Description

Use thinning for AMSR2 ice observations in LETKF (both makes sense
scientifically, and brings down the runtime to ~8min on hera on 480 MPI
tasks).

Since thinning is done with "reduce obs space" option, we need to run it
only once. Hence the switch to using linear observer here: in this case
filters are only run on ensemble mean.

# Companion PRs

NOAA-EMC/jcb-gdas#153

# Issues

Resolves #1542

# Automated CI tests to run in Global Workflow
<!-- Which Global Workflow CI tests are required to adequately test this
PR? -->
- [ ] atm_jjob <!-- JEDI atm single cycle DA !-->
- [ ] C96C48_ufs_hybatmDA <!-- JEDI atm cycled DA !-->
- [x] C96C48_hybatmsnowDA <!-- JEDI snow cycled DA !-->
- [ ] C96_gcafs_cycled <!-- JEDI aerosol cycled DA !-->
- [x] C48mx500_3DVarAOWCDA <!-- JEDI low-res marine 3DVar cycled DA !-->
- [x] C48mx500_hybAOWCDA <!-- JEDI marine hybrid envar cycled DA !-->
- [ ] C96C48_hybatmDA <!-- GSI atm cycled DA !-->

---------

Co-authored-by: Anna Shlyaeva <anna.v.shlyaeva@noaa.gov>
DavidNew-NOAA pushed a commit to NOAA-EMC/GDASApp that referenced this pull request Jan 16, 2026
# Description

Use thinning for AMSR2 ice observations in LETKF (both makes sense
scientifically, and brings down the runtime to ~8min on hera on 480 MPI
tasks).

Since thinning is done with "reduce obs space" option, we need to run it
only once. Hence the switch to using linear observer here: in this case
filters are only run on ensemble mean.

# Companion PRs

NOAA-EMC/jcb-gdas#153

# Issues

Resolves #1542

# Automated CI tests to run in Global Workflow
<!-- Which Global Workflow CI tests are required to adequately test this
PR? -->
- [ ] atm_jjob <!-- JEDI atm single cycle DA !-->
- [ ] C96C48_ufs_hybatmDA <!-- JEDI atm cycled DA !-->
- [x] C96C48_hybatmsnowDA <!-- JEDI snow cycled DA !-->
- [ ] C96_gcafs_cycled <!-- JEDI aerosol cycled DA !-->
- [x] C48mx500_3DVarAOWCDA <!-- JEDI low-res marine 3DVar cycled DA !-->
- [x] C48mx500_hybAOWCDA <!-- JEDI marine hybrid envar cycled DA !-->
- [ ] C96C48_hybatmDA <!-- GSI atm cycled DA !-->

---------

Co-authored-by: Anna Shlyaeva <anna.v.shlyaeva@noaa.gov>
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