Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression 事件

Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression arXiv:2605.30122v1 Announce Type: cross Abstract: Deep-learning precipitation nowcasting models are often optimized using pointwise losses such as mean squared error or mean absolute error, which can lead to overly smooth forecasts and poor representation of heavy rainfall. This study investigates whether the predictive performance of an established deterministic nowcasting architecture can be improved by reformulatin