Use thinning for ice obs in LETKF#1814
Conversation
|
Automated GW-GDASApp Testing Results: |
|
Automated GW-GDASApp Testing Results: |
|
@shlyaeva and @guillaumevernieres Orion and Hercules are suffering sluggish |
JohnSteffen-NOAA
left a comment
There was a problem hiding this comment.
We get the split altimeters with this too!
|
I just merged jcb-gdas @shlyaeva , can you update the #? |
663fbd1
|
I think we probably don't need all the tests: jcb-gdas hash was recently updated on develop, and now the only updates are ocean-related. What do you think? |
|
Automated GW-GDASApp Testing Results: |
|
Automated GW-GDASApp Testing Results: |
|
@guillaumevernieres and @shlyaeva A check of Hera A check of It looks like this GDASApp PR needs to be run inside @DavidNew-NOAA's g-w PR #3882. Item 2 in the description for g-w PR #3882 states I think we are dealing with a case of GDASApp being ahead of g-w |
|
@RussTreadon-NOAA Indeed, GDASApp is ahead of GW. I tested my NOAA-EMC/global-workflow#3882 PR for some standard cases which passed and I then I merged its companion, #1803. However the |
|
No problem, this PR isn't urgent, and is not needed for v17. |
|
Automated GW-GDASApp Testing Results: |
# 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>
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