WeatherDiagFlow: Evidence-Grounded Radar Nowcasting with Diagnostic Flow Refinement

WeatherDiagFlow is a new radar nowcasting system that frames forecasting as an evidence‑grounded task, producing both future radar fields and structured diagnostic evidence. It predicts motion, growth, decay, heavy‑echo risk, and uncertainty to refine flow, while a frozen‑scaffold residual calibration preserves strong‑echo events over longer leads. A multi‑agent layer transforms this evidence into operational bulletins and separate verification audits, achieving competitive performance and improved strong‑echo skill on the FJRADAR dataset.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

• agents