Google DeepMind’s GenCast predicts weather more accurately using AI

Google DeepMind has unveiled its latest weather forecasting AI, GenCast, which it claims delivers predictions both faster and more accurately than traditional physics-based simulations. The details of this breakthrough model have been published in the journal Nature, which shows that the ongoing research project is aiming to improve weather forecasting with artificial intelligence.

GenCast was trained using four decades of historical data from the European Centre for Medium-Range Weather Forecasts’ (ECMWF) ERA5 archive. This dataset includes comprehensive measurements of temperature, wind speed, and atmospheric pressure at various altitudes across the globe.

Today in @Nature, we’re presenting GenCast: our new AI weather model which gives us the probabilities of different weather conditions up to 15 days ahead with state-of-the-art accuracy.

Here’s how the technology works.