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AI and mitigation scenarios

Exploring climate futures with deep learning

Nature Climate Change volume 15, pages 692–693 (2025)Cite this article

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Glancing forward to view alternative futures for limiting global warming requires understanding complex societal–environmental systems that drive future emissions. Now a study explores the potential, and limits, of deep learning to generate core characteristics of these futures.

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Acknowledgements

A.A.K. was supported by the European Union’s Horizon Europe research and innovation programme under grant agreement no. 101056306 (IAM COMPACT).

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Authors and Affiliations

  1. Department of Chemical Engineering, Faculty of Engineering, Imperial College London, London, UK

    Alaa Al Khourdajie

  2. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

    Alaa Al Khourdajie

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  1. Alaa Al Khourdajie
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Correspondence to Alaa Al Khourdajie.

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The author declares no competing interests.

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Al Khourdajie, A. Exploring climate futures with deep learning. Nat. Clim. Chang. 15, 692–693 (2025). https://doi.org/10.1038/s41558-025-02350-w

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