MPAS | MPAS-JEDI

Workshop

1. 2023-10 MPAS-A and MPAS-JEDI Tutorials and Workshop, National Central University (NCU)
2. Welcome to the MPAS-JEDI tutorial practice guide, 202310NCU
   1. This web page is intended to serve as a guide through the practice exercises of this tutorial. Exercises are split into seven main sections, each of which focuses on a particular aspect of using the MPAS-JEDI data assimilation system.
   2. 2023-09NCAR/testdata
3. 2023-09 MPAS-JEDI Tutorial Agenda
4. Welcome to the MPAS-JEDI tutorial practice guide, 202309NCAR
   1. This web page is intended to serve as a guide through the practice exercises of this tutorial. Exercises are split into seven main sections, each of which focuses on a particular aspect of using the MPAS-JEDI data assimilation system.
5. MPAS-JEDI Tutorial, Howard University | October 3-4, 2024
   1. 3-Overview.pdf
6. Study the MPAS model | Location: University of St Andrews, UK | Dates: June 23-27 2025
   1. You will be taught by staff from NSF NCAR, world-leading experts in the use of these systems.
   2. You will gain hands-on experience using MPAS-A and MPAS-JEDI in a friendly and supportive atmosphere.
   3. You will have the opportunity to network with internationally-renowned scientists.
   4. we are preparing the hands-on practice and some documentation to generate the static background error statistics in upcoming tutorial in June 2025.

Papers

• 3DEnVar
  • Liu, Zhiquan, et al. "Data assimilation for the Model for Prediction Across Scales–Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 1.0. 0): EnVar implementation and evaluation." Geoscientific Model Development Discussions 2022 (2022): 1-33.
• IAU
  • Ha, S., Guerrette, J. J., Hernandez Banos, I., Skamarock, W. C., & Duda, M. G. (2023). Incremental Analysis Update (IAU) in the Model for Prediction Across Scales coupled with the Joint Effort for Data assimilation Integration (MPAS-JEDI 2.0. 0). EGUsphere, 2023, 1-21.
• 3DVar
  • Jung, Byoung-Joo, et al. "Three-dimensional variational assimilation with a multivariate background error covariance for the Model for Prediction Across Scales–Atmosphere with the Joint Effort for data Assimilation Integration (JEDI-MPAS 2.0. 0-beta)." Geoscientific Model Development 17.9 (2024): 3879-3895.
• Ensemble/EDA
  • Guerrette, Jonathan J., et al. "Data assimilation for the Model for Prediction Across Scales–Atmosphere with the Joint Effort for Data assimilation Integration (JEDI-MPAS 2.0. 0-beta): ensemble of 3D ensemble-variational (En-3DEnVar) assimilations." Geoscientific Model Development Discussions 2023 (2023): 1-34.
• Local Ensemble Transform Kalman filter
  • Sun, T., Guerrette, J. J., Liu, Z., Ban, J., Jung, B. J., Baños, I. H., & Snyder, C. (2025). All-sky AMSU-A radiance data assimilation using the gain-form of Local Ensemble Transform Kalman filter within MPAS-JEDI-2.1. 0: implementation, tuning, and evaluation. EGUsphere, 2025, 1-29.

Github

MPAS-JEDI

Presentation

1. 2nd EarthCare Moldeling Workshop, Shuzenji, Japan, 27-29 March, 2023 Jake Liu
   • Towards global convection-permitting NWP using MPAS and MPAS-JEDI

UCAR: MPAS-JEDI Weekly Cycling

• https://www2.mmm.ucar.edu/projects/mpas-jedi/weekly-cycling/