Research AI Minute Newsroom 2026-08-09

An extra day of warning: DeepMind opens its cyclone model, and the Hurricane Center is already using it

Google DeepMind published research in Nature on August 6 showing that its WeatherNext model predicts a tropical cyclone's track, intensity and wind structure more accurately than existing methods: its three-day forecasts are about as accurate as two-day forecasts used to be, a jump the team compares to a decade of ordinary progress. The model was trained on roughly 20 terabytes of weather data and the IBTrACS archive of past storms, and produces 1,000 possible futures per forecast; a 15-day run takes under a minute on a single TPU chip. The US National Hurricane Center used it operationally through the 2025 season, including on Hurricane Melissa's rapid intensification before it hit Jamaica. DeepMind has now released code and model weights for WeatherNext Cyclones, WeatherNext 2 and a small WeatherNext 2-mini on GitHub under the Apache 2.0 licence; the mini version runs in a free Colab notebook.

Why it mattersOne extra day of warning is the difference between an evacuation that works and one that does not, and it is being handed to any weather service that wants it, weights included. The countries where cyclones kill the most people are generally the ones with the smallest forecasting budgets — and a model that runs in a free notebook is within reach of every one of them. It is also the rare frontier-AI result that is not a demo: a national forecasting agency already used it on a real hurricane, in front of real decisions.

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An extra day of warning: DeepMind opens its cyclone model, and the Hurricane Center is already using it

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