Assimilation of FY-3G Precipitation Data Using a Machine Learning-Based Observation Operator in the CMA-MESO Regional Model
Accurate assimilation of satellite-derived precipitation data remains a critical challenge in regional numerical weather prediction (NWP), particularly for convective-scale rainfall. Conventional observation operators rely on radiative transfer models or simplified moist physics, introducing substantial uncertainty at...