Satellite-to-radar (S2R) retrieval refers to estimating ground-based radar precipitation from geostationary satellite observations, enabling precipitation monitoring in regions with limited radar coverage. While recent generative flow matching models have greatly advanced retrieval quality, they face a critical trade-o...
Chun-Lei Shi, Yecheng Zhang, Yu-Feng Zhu et al.· 0 citations
The proposed PrecipJEPA couples a structured forecasting path with an auxiliary path that enriches its encoder from observed radar history, which improves highest-threshold CSI over the strongest baselines, while maintaining the highest mean CSI throughout the 3-hour forecast.
Yu-Feng Zhu, Dan Niu, Qi-Liang Wu et al.· 0 citations
WeatherDiagFlow connects numerical prediction, evidence-grounded reporting, and auditable verification under a leakage-controlled protocol to formulate radar nowcasting as an evidence-grounded forecast--bulletin--audit task, in which a numerical forecaster produces both future radar fields and structured diagnostic evi...
Chun-Lei Shi, Yu-Feng Zhu, Yi-Xiao Liang et al.· 0 citations
The Continuous Spatiotemporal Temperature Forecaster (CSTF) is proposed, a neural field that turns forecast lead time and output resolution into explicit queries when evaluating 2-m temperature (T2M) and achieves the best aggregate deterministic skill.
Chun-Lei Shi, Jiong Wang, Yilin Wei et al.· 0 citations
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