AI is revolutionizing weather forecasting. New models like Google DeepMind’s GraphCast and GenCast, ECMWF’s AIFS, and NOAA’s experimental AI-GEFS are producing faster, cheaper, and increasingly accurate forecasts, including major improvements in hurricane track prediction, ensemble forecasting, and global weather modeling.

But there is a dangerous paradox at the center of this breakthrough.

AI weather models do not replace the weather observing system. They depend on it. Satellites, weather balloons, ocean buoys, aircraft reconnaissance, radar, NOAA research, and experienced meteorologists are still the foundation of every forecast. Without high-quality data and the scientists who understand it, even the smartest AI system can start producing weaker guidance.

In this episode of Meteorology Matters ...