Understanding CMIP6 Multi‐Model Ensemble Projected Pacific Warming Pattern Variability

Abstract Most CMIP6 climate models simulate a Pacific SST warming pattern through the 20th and 21st centuries that is “El Niño‐like,” with a weakened zonal equatorial gradient. However, observed trends are “La Niña‐like,” displaying a strengthened zonal equatorial gradient, raising concerns about the accuracy of these projections. Here we explore multi‐model ensemble variability in the projected Pacific warming pattern. This pattern variability is largely explained by two dominant patterns: one linked to hemispheric warming asymmetries, and the other to zonal equatorial gradients. Crucially, model differences in projected zonal equatorial gradients are strongly tied to the model representation of the mean state in the off‐equatorial east and west Pacific. This implies that mean state biases partly control the projected warming pattern. Moreover, models with more realistic mean states tend to produce: (a) historical trends with stronger gradients, aligning better with observations, and (b) more “El Niño‐like” future projections.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-02-04
DOI
https://doi.org/10.1029/2025gl118815
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
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article

Understanding CMIP6 Multi‐Model Ensemble Projected Pacific Warming Pattern Variability

Yann Planton, Shayne McGregor, Ellie Q. Y. Ong
Geophysical Research Letters
Climate variability and models
article

Understanding CMIP6 Multi‐Model Ensemble Projected Pacific Warming Pattern Variability

Yann Planton, Shayne McGregor, Ellie Q. Y. Ong
article en

Abstract

Abstract Most CMIP6 climate models simulate a Pacific SST warming pattern through the 20th and 21st centuries that is “El Niño‐like,” with a weakened zonal equatorial gradient. However, observed trends are “La Niña‐like,” displaying a strengthened zonal equatorial gradient, raising concerns about the accuracy of these projections. Here we explore multi‐model ensemble variability in the projected Pacific warming pattern. This pattern variability is largely explained by two dominant patterns: one linked to hemispheric warming asymmetries, and the other to zonal equatorial gradients. Crucially, model differences in projected zonal equatorial gradients are strongly tied to the model representation of the mean state in the off‐equatorial east and west Pacific. This implies that mean state biases partly control the projected warming pattern. Moreover, models with more realistic mean states tend to produce: (a) historical trends with stronger gradients, aligning better with observations, and (b) more “El Niño‐like” future projections.

Geophysical Research LettersVol. 53(3)
Centre National de la Recherche Scientifique (FR), Sorbonne Université (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Institut de Recherche pour le Développement (FR), Monash University (AU)
Climate action
Openalex Percentile: Top 74%
Climate variability and models
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