David Rolnick

State-of-the-art precipitation downscaling models struggle to generalize across continents, revealing a critical gap in current ML-based climate forecasting.

Kilometer-scale extreme heat downscaling accuracy scales linearly with climatological distance, not simulation volume, revealing a path to cost-effective urban adaptation.