Upper-ocean stratification changes control ENSO amplitude shift under sustained global warming
As projected by climate models in the high emission scenarios, the El Niño-Southern Oscillation (ENSO) exhibits a non-monotonic amplitude shift. However, its key drivers remain poorly quantified. Here we introduce a framework using an intermediate coupled model (ICM) that coherently represents mean-state oceanic climatologies in the tropical Pacific, derived from eight selected climate models across three periods (1940-1990, 2040-2090 and 2240-2290). By applying vertical baroclinic mode decomposition to ocean density, we extract wind projection coefficients (p<sub>n</sub>; n is mode number) governing upper-ocean dynamical responses. The ICM with the explicitly prescribed climatological fields, including stratification and the thermocline structure, successfully reproduces the non-monotonic ENSO shifts, which is illustrated to be primarily driven by opposite changes in p<sub>1</sub> and p<sub>2</sub> post 2140. Sensitivity experiments further confirm stratification as the dominant modulator. This study establishes a coherent mechanistic framework for disentangling stratification impacts on ENSO in climate model projections under global warming.
Authors
- Siying Liu (ORCID: https://orcid.org/0000-0002-9770-4578)
- Jiaxiang Gao (ORCID: https://orcid.org/0000-0001-8560-0344)
- Maonan Chen (ORCID: https://orcid.org/0000-0002-3370-0092)
- Chuan Gao (ORCID: https://orcid.org/0000-0001-7823-8885)
- Lingjiang Tao
- Hai Zhi
- Minmin WU
- Hongna Wang
- Rong-Hua Zhang
- Lu Zhou
Institutions
- Nanjing University of Information Science and Technology (CN)
- Institute of Oceanology (CN)
- Qingdao National Laboratory for Marine Science and Technology (CN)
- University of Chinese Academy of Sciences (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1038/s41467-026-69931-x
- Primary Topic
- Oceanographic and Atmospheric Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province