Correcting Underestimated Internal Variability Fails to Reconcile Models With Observed Pacific SST Gradient Strengthening

Abstract The equatorial Pacific zonal sea surface temperature (SST) gradient has strengthened since 1980, yet fewer than 1% of CMIP6 simulations reproduce this trend. We test whether underestimated internal variability explains this mismatch. Extreme El Niño events enhance interdecadal variability of the gradient, but CMIP6 models simulate them too infrequently, producing low Niño3 SST skewness that correlates (∼0.65) with interdecadal gradient variability. Applying this observational constraint to statistically correct modeled interdecadal gradient variability increases the fraction of simulations exceeding the observed trend to only ∼6%, indicating that enhancing variability alone cannot resolve the discrepancy. One‐third of models with large ensembles display a weak but forced recent strengthening that later reverses. Beyond +1.7°C of global warming, over 95% of simulations project a ∼15% weakening. Together, these results suggest that the recent strengthening includes a substantial externally forced transient component poorly simulated by models, while the projected long‐term weakening is robust.

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Publication Details

Journal
Geophysical Research Letters
Published
2026-06-13
DOI
https://doi.org/10.1029/2025gl120001
Primary Topic
Climate variability and models
Type
article
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article

Correcting Underestimated Internal Variability Fails to Reconcile Models With Observed Pacific SST Gradient Strengthening

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article

Correcting Underestimated Internal Variability Fails to Reconcile Models With Observed Pacific SST Gradient Strengthening

Malte F. Stuecker, Jérôme Vialard, Shayne McGregor, Alexey V. Fedorov, Yann Planton, Matthieu Lengaigne
article en

Abstract

Abstract The equatorial Pacific zonal sea surface temperature (SST) gradient has strengthened since 1980, yet fewer than 1% of CMIP6 simulations reproduce this trend. We test whether underestimated internal variability explains this mismatch. Extreme El Niño events enhance interdecadal variability of the gradient, but CMIP6 models simulate them too infrequently, producing low Niño3 SST skewness that correlates (∼0.65) with interdecadal gradient variability. Applying this observational constraint to statistically correct modeled interdecadal gradient variability increases the fraction of simulations exceeding the observed trend to only ∼6%, indicating that enhancing variability alone cannot resolve the discrepancy. One‐third of models with large ensembles display a weak but forced recent strengthening that later reverses. Beyond +1.7°C of global warming, over 95% of simulations project a ∼15% weakening. Together, these results suggest that the recent strengthening includes a substantial externally forced transient component poorly simulated by models, while the projected long‐term weakening is robust.

Geophysical Research LettersVol. 53(12)
University of Hawaiʻi at Mānoa (US), Centre National de la Recherche Scientifique (FR), Planetary Science Institute (US), Ifremer (FR), Yale University (US), Sorbonne Université (FR), Pacific International Center for High Technology Research (US), Marine Biodiversity Exploitation and Conservation (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Institut de Recherche pour le Développement (FR), Monash University (AU)
Life below water
Openalex Percentile: Top 6%
Climate variability and models
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