3 papers
physics.ao-ph2026
A plug-and-play generative framework for multi-satellite precipitation estimation
Yunfan Yang, Haofei Sun, Xiuyu Sun +7
Reliable precipitation monitoring is essential for disaster risk reduction, water resources management, and agricultural decision-making. Multi-source satellite observations, parti…
physics.ao-ph2026
StormDiT: A generative AI model bridges the 2-6 hour 'gray zone' in precipitation nowcasting
Haofei Sun, Yunfan Yang, Wei Han +6
Accurate short-term warnings for extreme precipitation are critical for global disaster mitigation but are hindered by a persistent predictability barrier at the 2-6 hour horizon -…
cs.LG2026
Nowcast3D: Reliable precipitation nowcasting via gray-box learning
Huaguan Chen, Wei Han, Haofei Sun +9
Reliable nowcasting of extreme precipitation remains difficult because convective systems are strongly nonlinear, multiscale, and nonstationary in 3D. Radar is the backbone of nowc…