Successes and Failures of Current AI Climate Models

Abstract AI climate model simulations are in their infancy and the paper by Baxter et al. (this issue) reports the results of a new set of tests for how well AI weather and climate models represent aspects of atmospheric dynamics, including low frequency variability. They shine a light on previously untested aspects of AI models and highlight their very mixed performance, illustrating some stunning successes and some disappointing failures. This kind of work is an important prerequisite for reliable longer term climate prediction with AI models and there are implications for training future AI models.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-04-25
DOI
https://doi.org/10.1029/2026gl122615
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Successes and Failures of Current AI Climate Models

Adam A. Scaife
Geophysical Research Letters
Meteorological Phenomena and Simulations
article

Successes and Failures of Current AI Climate Models

Adam A. Scaife
article en

Abstract

Abstract AI climate model simulations are in their infancy and the paper by Baxter et al. (this issue) reports the results of a new set of tests for how well AI weather and climate models represent aspects of atmospheric dynamics, including low frequency variability. They shine a light on previously untested aspects of AI models and highlight their very mixed performance, illustrating some stunning successes and some disappointing failures. This kind of work is an important prerequisite for reliable longer term climate prediction with AI models and there are implications for training future AI models.

Geophysical Research LettersVol. 53(8)
Met Office (GB), University of Exeter (GB)
Met Office
Climate action
Openalex Percentile: Top 9%
Meteorological Phenomena and Simulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.