You can build accurate kilometer-scale weather forecasts by aligning global and regional model representations, allowing a single regional model to work with multiple pretrained global forecasters without retraining.
ScaleCast is a weather forecasting framework that combines global weather models with high-resolution regional predictions by aligning their representations across different grid scales. It enables kilometer-scale weather forecasts for local warnings while reusing pretrained global models, eliminating the need to retrain when switching between different global forecast sources.