Replacing Tunable Parameters in Weather and Climate Models with State-Dependent Functions using Reinforcement Learning
arXiv:2601.04268v2 Announce Type: replace
Abstract: Weather and climate models rely on parametrisations to represent unresolved sub-grid processes. Traditional schemes rely on fixed coefficients that are weakly constrained and tuned offline, contribut…