The model is dubbed the Artificial Intelligence Forecasting System (AIFS).
Traditional weather prediction models make forecasts by solving physics equations.
A limitation of these models is that they are approximations of atmospheric dynamics.
A view of a sailing boat during cloudy weather and sunset in San Francisco, California, United States on August 17, 2024.Photo by Tayfun Coskun/Anadolu via Getty Images
GenCast outperformedENS, the ECMWFs leading weather prediction model, on 97.2% of targets across different weather variables.
With lead times greater than 36 hours, GenCast was more accurate than ENS on 99.8% of targets.
But the European Center is innovating, too.
The launch of AIFS-single is just the first operational version of the system.
The team will explore hybridizing data-driven and physics-based modeling to improve the organizations ability to predict weather with precision.
Integrating artificial intelligence methods with physics-driven weather prediction modeling is a promising venue for more precise forecasting.
News from the future, delivered to your present.
Two banks say Amazon has paused negotiations on some international data centers.
