Climate emulation

Pushing the frontiers in climate modelling and analysis with machine learning

Veronika Eyring, William D. Collins, Pierre Gentine, Elizabeth A. Barnes, Marcelo Barreiro, Tom Beucler, Marc Bocquet, Christopher S. Bretherton, Hannah M. Christensen, Katherine Dagon, David John Gagne, David Hall et al.

Nature Climate Change · 23 August 2024 · Allen Institute for AI (Ai2, ACE), California Institute of Technology (Caltech), Colorado State University (incl. CIRA), Columbia University (LEAP, Lamont-Doherty), Google Research, Inria, Lawrence Berkeley National Laboratory / NERSC, NSF NCAR / UCAR, NVIDIA, New York University (M2LInES), University of California, Berkeley, University of Oxford

Paper

In one sentence. Nature Climate Change perspective on machine learning in climate modelling and analysis; abstract absent, judged from title and venue.

Labels

Topic

Climate emulation

Type

Review, survey or tutorial

Domain

Global

Status

Research

Identifiers

DOI:10.1038/s41558-024-02095-y OpenAlex:W4401806513

Added

2026-10-22

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