Beyond MSE: Improving Precipitation Nowcasting with Multi-Quantile Regression
Researchers have developed new deep learning approaches for precipitation nowcasting. One study reformulates training as a multi-quantile regression problem, improving deterministic forecasts and enabling better prediction of heavy rainfall. Another paper introduces FREUD, a rectified flow transformer model that enhances probabilistic forecasting by preserving uncertainty and allowing continuous updates. AI
IMPACT These advancements offer more accurate and reliable short-term weather predictions, crucial for risk management and operational planning.