One Regional Forecaster Took Guidance From Three Global Models

ScaleCast couples a high-resolution regional model to pretrained global forecasts through modules that align representations with regional locations and combine guidance with neighborhood interactions. Experiments used ERA5 global analyses on a 0.25-degree grid and CERRA regional reanalysis at 5.5-kilometer spacing. One trained model supported Pangu-Weather, GraphCast and HRES drivers without driver-specific retraining; fine-tuning on three-kilometer HRRR tested transfer to another regional domain. Reported windstorm case studies improved cyclone location and core-pressure estimates, while station comparisons showed closer local temperature and humidity changes. These are research evaluations, not an operational weather service or a forecast of a current storm.