Qiuying Zhang, Ping Chang, Gaopeng Xu, Stephen G. Yeager, Gokhan Danabasoglu, Jaison Kurian, Frederic Castruccio
{"title":"Multi-Year Prediction of Accelerated Sea Level Rise Along the Gulf of Mexico Coast During 2010–2020","authors":"Qiuying Zhang, Ping Chang, Gaopeng Xu, Stephen G. Yeager, Gokhan Danabasoglu, Jaison Kurian, Frederic Castruccio","doi":"10.1029/2025gl116127","DOIUrl":null,"url":null,"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.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"59 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysical Research Letters","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2025gl116127","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.