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Journal Article

Bridging the weather and climate divide with artificial intelligence

Authors

Camps-Valls,  Gustau
External Organizations;

Carrassi,  Alberto
External Organizations;

de Melo Viríssimo,  Francisco
External Organizations;

Debeire,  Kevin
External Organizations;

Fernández-Torres,  Miguel-Ángel
External Organizations;

/persons/resource/philipp.hess

Hess,  Philipp       
Potsdam Institute for Climate Impact Research;

Heuer,  Helge
External Organizations;

Mankovich,  Nathan
External Organizations;

Montero,  David
External Organizations;

Rodrigo-Bonet,  Esther
External Organizations;

Serva,  Federico
External Organizations;

Sitokonstantinou,  Vasileios
External Organizations;

/persons/resource/alistair.white

White,  Alistair       
Potsdam Institute for Climate Impact Research;

Cohrs,  Kai-Hendrik
External Organizations;

Wider,  Jonathan
External Organizations;

Reimers,  Christian
External Organizations;

Bountos,  Nikolaos Ioannis
External Organizations;

Papoutsis,  Ioannis
External Organizations;

Gentine,  Pierre
External Organizations;

Eyring,  Veronika
External Organizations;

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Citation

Camps-Valls, G., Carrassi, A., de Melo Viríssimo, F., Debeire, K., Fernández-Torres, M.-Á., Hess, P., Heuer, H., Mankovich, N., Montero, D., Rodrigo-Bonet, E., Serva, F., Sitokonstantinou, V., White, A., Cohrs, K.-H., Wider, J., Reimers, C., Bountos, N. I., Papoutsis, I., Gentine, P., Eyring, V. (2026): Bridging the weather and climate divide with artificial intelligence. - Nature Communications, 17, 8578.
https://doi.org/10.1038/s41467-026-75787-y


Cite as: https://publications.pik-potsdam.de/pubman/item/item_35273
Abstract
Weather and climate shape every aspect of our lives, yet for decades they have been studied as separate worlds—one concerned with what happens tomorrow, the other with what awaits us over the coming decades. This long-standing divide has slowed progress in both fields. Here, we argue that artificial intelligence (AI) is helping to dissolve the boundary between them. By learning directly from vast streams of Earth observations, AI is starting to predict both tomorrow’s storm and next century’s climate within a single, unified framework. We show how this convergence is already underway, why weather and climate science have much to gain from each other, and what still stands in the way—from trust, transparency, and fairness to the energy cost of computation and the risk of widening global inequalities. Realizing this vision will demand not only better algorithms but a new culture of collaboration across scientific communities, operational centers, fields and disciplines. Done well, a unified, AI-driven Earth science could deliver faster, more reliable, and more actionable predictions—helping societies anticipate and adapt to a rapidly warming planet.