MPAS Data Assimilation

MPAS-JEDI offers a versatile data-assimilation system for MPAS and is the focus of development within NSF NCAR/MMM. MPAS-JEDI provides interfaces for MPAS to the Joint Effort for Data assimilation Integration (JEDI), whose development is led by the Joint Center for Satellite Data Assimilation (JCSDA). MPAS-JEDI benefits from collaboration with the JCSDA core team and leverages contributions to JEDI from other partners, including NOAA, NASA, UK Met Office, and US Navy. MPAS-JEDI’s capabilities include the use of regional, global, quasi-uniform, and variable-resolution MPAS meshes, the direct assimilation of remotely sensed observations, such as satellite radiances, and both variational and ensemble DA techniques.

Resources

• Download the latest tagged version of MPAS-JEDI code

• MPAS-JEDI Tutorial Practice Guide based on latest tagged code

• MPAS-JEDI papers:

  • Implementation and initial 3DEnVar results, Liu et al. 2022

  • Ensemble of data assimilations (EDA), Guerrette et al. 2023

  • Static background-error covariances and 3DVar results, Jung et al. 2024

An implementation of a serial ensemble Kalman filter for MPAS, through the Data Assimilation Research Testbed (DART), is also available. MPAS/DART was developed in collaboration with the Data Assimilation Research Section within NSF NCAR’s Computational and Information Systems Lab. For further information, see Ha et al. 2017 or the DART pages.