Accurate forecasting of extreme precipitation remains a critical challenge, owing to its heavy‐tailed distribution and severe class imbalance that limit conventional deep learning approaches. This study presents a two‐stage cascade‐diffusion framework for extreme precipitation forecasting over eastern China (110°–1...
Leyan Dai, H. Yuan, Yiheng Liu et al.· Journal of Geophysical Resea...· 0 citations
Accurate short-term precipitation forecasting, which targets predictions up to 3 days ahead, has long been challenging, mainly due to extreme sample imbalance and complex multiscale physical processes. Existing regression- or classification-based deep learning methods often produce over-smoothed precipitation fields, l...
Guanlong Ma, Weiqiu Chen, Yang Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Accurate short-term precipitation forecasting, which targets predictions up to 3 days ahead, has long been challenging, mainly due to extreme sample imbalance and complex multiscale physical processes. Existing regression- or classification-based deep learning methods often produce over-smoothed precipitation fields, l...
Guanlong Ma, Weiqiu Chen, Yang Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
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