Tropical cyclones could be predicted with an extra day's warning, thanks to an AI model

• 成果类型: Editorial Material
• 署名作者: Beucler, Tom; Gomez, Milton
• 署名单位: University of Lausanne; University of Lausanne
• 刊物名称: NATURE
• ISSN/ISSBN: 0028-0836; 1476-4687
• DOI: 10.1038/d41586-026-02643-w
• 发表日期: 2026-09-17
• 页码: 603-604
• 关键词: Climate sciences; Mathematics and computing

摘要

The track and intensity of tropical cyclones can be predicted with high accuracy using an AI model, which has the potential to protect lives if shared responsibly worldwide.