arXiv cs.LGPaper
Skillful and realistic precipitation forecasting with reinforced diffusion
This is the first system to crack a hard problem: weather forecasting that is both accurate and physically coherent, which matters because blurry ML forecasts systematically miss extremes. The RL-refined diffusion approach is clever, and real-time latency means operational deployment is possible now. For weather-dependent decision-making, this is a capability shift worth testing.