Learning Prognostic Variables for AI Convective Parameterizations via Symbolic Distillation

Jurij Schönfeld, Tom Beucler, Julien Savre +2

Hybrid AI-physics climate modeling aims to improve coarse (~100km-resolution) Earth system models by learning to parameterize subgrid processes from high-fidelity data. However, th…