AI model WeatherNext Cyclones predicts tropical cyclone tracks two weeks ahead

This digest was compiled by AI from multiple sources — links to the originals are below.
Researchers introduced WeatherNext Cyclones, an AI model that produces two-week forecasts of tropical cyclone tracks and intensity. The model, described in Nature on September 4, 2026, aims to improve early warning and reduce deaths and damage from cyclones. Its developers call for responsible global sharing of the technology.
Key Facts
- WeatherNext Cyclones (WN-C) is an AI model that produces two-week forecasts of unfolding tropical cyclones.
- The model was introduced by Alet et al. in a paper published in Nature on September 4, 2026.
- Tropical cyclones are a major cause of deaths worldwide and inflict considerable damage on property and infrastructure.
- The authors of the News and Views piece are Tom Beucler and Milton Gomez from the University of Lausanne.
The AI Model
WeatherNext Cyclones (WN-C) is an artificial-intelligence model that can produce two-week forecasts of unfolding tropical cyclones. The model was introduced by Alet et al. in a paper published in Nature. The track and intensity of tropical cyclones can be predicted with high accuracy using the AI model.
Forecast Challenges
The formation and evolution of tropical cyclones are driven by effects on a range of scales, making them incredibly challenging to forecast accurately using conventional models. Tropical cyclones, also called typhoons or hurricanes depending on where they occur, are a major cause of deaths worldwide. The new model has the potential to protect lives if shared responsibly worldwide.