Multi‐Year Prediction of Accelerated Sea Level Rise Along the Gulf of Mexico Coast During 2010–2020

Abstract The Gulf of Mexico (GoM) coast has experienced an acceleration of sea‐level rise between about 2010 and 2020, garnering notable attention from both the scientific and coastal communities. This study investigates the underlying causes of this acceleration by comparing high‐resolution (HR) and low‐resolution (LR) ensembles of multi‐year prediction simulations and historical climate simulations. The findings demonstrate that HR outperforms LR in predicting this acceleration, although they perform comparable prediction skill caused by external forcings. As the acceleration was driven by internal dynamics rather than external climate forcings, improved prediction skill in HR is attributed to its enhanced ability to capture internal variability. Further analysis reveals a strong link between GoM sea‐level variability and a dipole‐like wind stress curl anomaly straddling the region around Cuba, generating Ekman pumping and suction, and triggering remote changes in GoM sea‐level rise through Rossby wave propagation. HR effectively captures this process likely due to its improved prediction of the multi‐year Atlantic Meridional Mode.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-10-08
DOI
https://doi.org/10.1029/2025gl116127
Citations
1
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
1.79
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Multi‐Year Prediction of Accelerated Sea Level Rise Along the Gulf of Mexico Coast During 2010–2020

Frédéric Castruccio, Stephen Yeager, Gökhan Danabasoglu, Ping Chang et al.
1 citations
Geophysical Research Letters
Oceanographic and Atmospheric Processes
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article

Multi‐Year Prediction of Accelerated Sea Level Rise Along the Gulf of Mexico Coast During 2010–2020

Frédéric Castruccio, Stephen Yeager, Gökhan Danabasoglu, Ping Chang, Gaopeng Xu, Qiuying Zhang, Jaison Kurian
article en
1 citations

Abstract

Abstract The Gulf of Mexico (GoM) coast has experienced an acceleration of sea‐level rise between about 2010 and 2020, garnering notable attention from both the scientific and coastal communities. This study investigates the underlying causes of this acceleration by comparing high‐resolution (HR) and low‐resolution (LR) ensembles of multi‐year prediction simulations and historical climate simulations. The findings demonstrate that HR outperforms LR in predicting this acceleration, although they perform comparable prediction skill caused by external forcings. As the acceleration was driven by internal dynamics rather than external climate forcings, improved prediction skill in HR is attributed to its enhanced ability to capture internal variability. Further analysis reveals a strong link between GoM sea‐level variability and a dipole‐like wind stress curl anomaly straddling the region around Cuba, generating Ekman pumping and suction, and triggering remote changes in GoM sea‐level rise through Rossby wave propagation. HR effectively captures this process likely due to its improved prediction of the multi‐year Atlantic Meridional Mode.

Geophysical Research LettersVol. 52(19)
NSF National Center for Atmospheric Research (US), U.S. National Science Foundation (US), Texas A&M University (US)
Openalex Percentile: Top 13%
Oceanographic and Atmospheric Processes
1.79
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