UFS Land Data Assimilation (DA) System v1.1.0 Released on 2023-05-25 #19
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The Earth Prediction Innovation Center (EPIC) and the Unified Forecast System (UFS) community are proud to announce the public release of the UFS Land Data Assimilation (DA) System version 1.1.0. This release is an update to the inaugural public release version 1.0.0 from March 2023 and reflects changes currently available at the head of the UFS land-DA_workflow development branch. In the Land DA System, the Noah-MP land surface model (LSM) in the UFS Weather Model and the Joint Effort for Data assimilation Integration (JEDI) software stack are used to assimilate snow depth data via the Local Ensemble Transform Kalman Filter-Optimal Interpolation (LETKF-OI) algorithm. The new release includes the following updates:
Migrated the original land-offline_workflow and land-DA_update GitHub repositories to the land-DA_workfow (https://github.com/ufs-community/land-DA_workflow) and land-DA (https://github.com/ufs-community/land-DA) repositories, respectively
Replaced fv3-bundle and ioda-bundle with jedi-bundle release/skylab-v3: https://github.com/JCSDA/jedi-bundle
Updated spack-stack and module files to support UFS Weather Model (WM) build
Updated CMakeLists.txt to add the option to build the UFS WM land component as an external project
Added new CTest to check the UFS WM DATM
-DAPP=LND
baseline:test_ufs_datm_land
Updated Singularity container to support the changes described above: ubuntu20.04-intel-ue-landda-v1.1.0.img
The User's Guide, available here, has been updated to reflect these improvements to the Land DA System, and test cases with all associated data files are also available to the public here. Interested users can get support by submitting a question through the GitHub Discussions Q&A Category.
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