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#machine learning Preprint Oct 2026

Diffusion Precipitation Generation with Medium-range Weather Forecasting

Accurate daily precipitation forecasts are important for weather-sensitive decisions. Although recent Weather Foundation Models (WFMs) have achieved significant progress, they are trained on reanalysis data, which exhibit regional and intensity-dependent biases. Since retraining WFMs on observation-based targets is cos...

Guo-Wen Li, Yang Liu, Meng-Xuan Chen et al. · 0 citations
Open access Sep 2026

STAMP-GAN: A Spatiotemporal Attention-Modulated Generative Adversarial Network for Precipitation Nowcasting

Precipitation nowcasting aims to predict short-term precipitation evolution over forecast lead times of 1–6 h and can support hydrological-risk and disaster-prevention applications when near-real-time observations are available. However, precipitation forecasting remains challenging because of rapid spatiotemporal evol...

Xiao-Xiao Ma, Zhen-Yu Lu, Fang Wang et al. · 0 citations

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