---
title: WeatherNext AI boosts cyclone forecast accuracy
description: "Via Google DeepMind Blog: Google DeepMind and Google Research have developed WeatherNext, an AI model that significantly improves cyclone forecasting. Publis..."
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### WeatherNext AI boosts cyclone forecast accuracy

Google DeepMind Blog • August 8, 2026 at 5:18 AM ET

[×](/id/dev?tab=deepmind)

Google DeepMind and Google Research have developed WeatherNext, an AI model that significantly improves cyclone forecasting. Published in Nature, the model achieves state-of-the-art accuracy in predicting cyclone track, intensity, and wind structure, providing forecasters with an average of **one extra day** of predictive accuracy.

This advancement is equivalent to a decade of meteorological progress. The model was developed in collaboration with agencies like the **National Hurricane Center (NHC)** and the UK Met Office. During the 2025 hurricane season, WeatherNext aided the NHC in forecasting Hurricane Melissa, enabling crucial advance warnings. The models, WeatherNext 2 and WeatherNext Cyclones, are now being open-sourced to empower the research community and enhance disaster preparedness.

WeatherNext bridges the gap between global and local forecasting models by using a single AI system. It can predict a cyclone's path and strength up to **15 days** in advance, generating localized probability maps. The model was trained on vast datasets of global atmospheric data and historical cyclone observations, enabling it to learn complex patterns and extreme weather behavior.

[Read original article](https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/)

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