The Earth Prediction Innovation Center (EPIC) and the Unified Forecast System (UFS) community are proud to announce the inaugural public release of the UFS Land Data Assimilation (DA) System v1.0.0.
The Land DA System is an offline version of the Noah Multi-Physics (Noah-MP) land surface model (LSM) used in the UFS Weather Model via the Common Community Physics Package CCPP. Its data assimilation framework uses the Joint Effort for Data assimilation Integration (JEDI) software stack to assimilate snow depth data via the Local Ensemble Transform Kalman Filter-Optimal Interpolation (LETKF-OI) algorithm.
A newly-created User’s Guide is available here to provide further information about the Land DA System and instructions for running and testing the system. Data files required to run Land DA are available to the public in the Land DA data bucket. Interested users can get support by submitting a question through GitHub Discussions Q & A page.