Extreme rainfall event study demonstrates improved forecasting via physics-guided machine learning

A research team focused on the extreme rainfall event of "21·7" in Henan in 2021. By analyzing anomalous physical characteristics and understanding multi-model forecast biases, they significantly enhanced the accuracy of precipitation intensity forecasts. This improvement was achieved by incorporating optimization metrics and constraints better suited to the physical and data characteristics of precipitation into the neural network loss function.