Two graphs compare GenCast and ENS for extreme heat and winds, showing GenCast provides higher relative economic value at 1- and 5-day lead times.

“Today, in a paper published in Nature, we present GenCast, our new high resolution (0.25°) AI ensemble model. GenCast provides better forecasts of both day-to-day weather and extreme events than the top operational system, the European Centre for Medium-Range Weather Forecasts’ (ECMWF) ENS, up to 15 days in advance. We’ll be releasing our model’s code, weights, and forecasts, to support the wider weather forecasting community.”

Source : GenCast predicts weather and the risks of extreme conditions with state-of-the-art accuracy – Google DeepMind