Machine learning based radiation emulation: development and performance evaluation in operational reforecast experiments
This study investigates the key issues for hybrid modelling: coupling compatibility and long-term 10 integration stability, and a residual convolutional neural network is employed to approximate the Rapid Radiative Transfer Model for General Circulation Models within the global operational system of China Meteorologica...