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Open access Jul 2026

Improving Extreme Precipitation Forecasts via Cascade Binary Classification With Diffusion Post‐Processing

Results establish the cascade‐diffusion framework as a practically viable approach for operational extreme precipitation forecasting and improves the distributional fidelity, with P80 and P90 aggregation both achieving strong detection skill at high thresholds.

Le-Yan Dai, H. Yuan, Yiheng Liu et al. · 0 citations
Book Open access Aug 2026

RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting Model

RainCast is proposed, a high-resolution framework for hourly precipitation forecasting over China up to 72 hours ahead at 0.05° resolution that incorporates a physics-guided feature extractor and a multi-head output design that supports both deterministic forecasts with a regression head and probabilistic multi-member...

Guanlong Ma, Weiqiu Chen, Yang Zhao et al. · 0 citations
Book Open access Aug 2026

RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting Model

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. · 0 citations

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