Artificial intelligence to support cross-disciplinary climate change research

2026/04/28 by Yang Ou, Carlos Rodriguez-Pardo, Alaa Al Khourdajie +9 · 2 voices · 2 citations
Environmental Science · Social Sciences · #Air Quality Monitoring and Forecasting #Climate Change Communication and Perception #Sustainability and Climate Change Governance

paper · doi:10.1038/s41558-026-02624-x

openalex publication_date 2026/04/28 · openalex created_date 2026/04/29 · openalex updated_date 2026/07/29

Citations

• Investigating the nexus of climate, energy, water, and land at decision-relevant scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA)
• Highly accurate protein structure prediction with AlphaFold
• Accurate medium-range global weather forecasting with 3D neural networks
• AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
• Using deep learning to generate key variables in global mitigation scenarios

Cited by

• TerraNova: A Foundation Model for the Anthropocene
• A harmonised dataset for Earth system foundation models

Discussions

• New in @natclimate.nature.com : "Artificial Intelligence to Support Cross-Disciplinary Climate Change Research" 🌍🤖 We argue foundation models can unify physical climate, impact assessment & socio-e [bsky, 6 points, 1 comments]
• Ou, Y., Rodriguez-Pardo, C., Khourdajie, A.A. et al. Artificial intelligence to support cross-disciplinary climate change research. Nat. Clim. Chang. (2026). doi.org/10.1038/s415... [bsky, 0 points, 0 comments]