Revised Test of Precipitation Forecasting Product of RMAPS-ST System Based on U-Net

Abstract

Using the U-Net algorithm idea in the field of artificial intelligence, a deep learning framework is designed and the loss function is redefined. This learning framework revised the precipitation forecast results of RMAPS-ST after training on two summer samples. Approved the revised precipitation forecast for June-July 2022 and precipitation on August 18, 2022, The test results show that the revised forecast level is significantly improved, especially for magnitude greater than 0.1mm/3 hours, and the CSI score is increased by an average of 30% compared with before revision.