3 papers
cs.LG2026
Scale-Recursive Rectified Flows for Few-Step Precipitation Ensembles
Shunya Nagashima, Takumi Bannai
Fine-resolution precipitation estimates support flood risk assessment and water management, but coarse satellite products cannot resolve rainfall within each grid cell. Generative…
cs.CV2026
Physics-Guided Flow-Map Matching for Precipitation Nowcasting
Shunya Nagashima, Takumi Bannai, Makoto Misaizu +3
Precipitation nowcasting, generating future radar fields from past observations, is critical for flood warning and disaster response. It is also a demanding benchmark for spatiotem…
cs.CV2026
Neural Stochastic Processes for Satellite Precipitation Refinement
Shunya Nagashima, Takumi Bannai, Shuitsu Koyama +2
Accurate precipitation estimation is critical for flood forecasting, water resource management, and disaster preparedness. Satellite products provide global hourly coverage but con…