PI: Licheng Li, Earth and Biological Sciences Directorate 

GAMMA will advance subseasonal-to-seasonal (S2S) prediction of DOE's Energy Exascale Earth System Model (E3SM) by implementing an innovative generative AI-based soil moisture data assimilation for E3SM's land component. This project will develop a generative AI framework (i.e., diffusion model) for soil moisture data assimilation for the E3SM land modeling.