Artificial intelligence to support cross-disciplinary climate change research

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Yang Ou, Carlos Rodriguez-Pardo, Alaa Al Khourdajie, Joeri Rogelj, Peijie Zhou, S. Karthik Mukkavilli, Massimo Tavoni, Leon Clarke, Yong Liu, Tengjiao Wang, Alice Oh, Haewon McJeon

Published: 28 Apr 2026, Last Modified: 09 May 2026Nature Climate ChangeEveryoneRevisionsCC BY-SA 4.0
Abstract: Integrating knowledge across climate risks, societal responses and their interactions is a critical yet persistently challenging goal. We argue that advanced artificial intelligence frameworks, specifically foundation models, offer a new opportunity to unify these domains and support climate decision-making.