Liang-Hong Mo

GraphCast-Mamba: Learning Non-Markovian Corrections for Weather Forecasting

Unresolved atmospheric processes can introduce history dependence beyond the short input windows used by many weather forecasting models. We introduce GraphCast--Mamba, which augments a frozen, pretrained $1^\circ$ GraphCast backbone with a trainable Mamba correction branch combining graph message passing and Mamba lay...