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IAMC

Publication

AI and mitigation scenarios. Exploring climate futures with deep learning

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. Al Khourdajie, A.

AI and mitigation scenarios. Exploring climate futures with deep learning

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.

Al Khourdajie, A. Exploring climate futures with deep learning. Nature Climate Change (2025).
https://doi.org/10.1038/s41558-025-02350-w
https://rdcu.be/eqPpk

More publications

A harmonised dataset for Earth system foundation models

Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and respond to environmental change. The lack of a unified global training resource that combines climate, land, ocean, cryosphere, infrastructure, hazards, and socioeconomic