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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Upper-ocean stratification changes control ENSO amplitude shift under sustained global warming

Siying Liu, Jiaxiang Gao, Maonan Chen, Chuan Gao et al.
Nature Communications
Oceanographic and Atmospheric Processes
article

Upper-ocean stratification changes control ENSO amplitude shift under sustained global warming

Siying Liu, Jiaxiang Gao, Maonan Chen, Chuan Gao, Lingjiang Tao, Hai Zhi, Minmin WU, Hongna Wang, Rong-Hua Zhang, Lu Zhou
article en

Abstract

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.

Nature Communications
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)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province
Climate action
Openalex Percentile: Top 53%
Oceanographic and Atmospheric Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.