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AI-enhanced subseasonal forecasting of extreme temperature risks

November 2026

Jia Xing | Siwei Li | Shuxin Zheng | Ge Song | Jiaxin Dong | Gonzalo A. Ferrada | Tie-Yan Liu | Joshua S. Fu

Sub-seasonal weather prediction remains a significant scientific challenge due to the chaotic nature of the atmosphere, with current numerical and AI-driven models exhibiting limited skill, particularly...

Inaugural editorial: Bridging AI and planetary sustainability — A new era for climate and eco-environmental research

November 2026

Hongliang Zhang | Yuwei Dai | Guotao Peng | Drew Shindell | Renhe Zhang