Changing El Niño–Southern Oscillation in a warming climate

Wenju Cai, Agus Santoso, Matthew Collins, Boris Dewitte, Christina Karamperidou, Jong Seong Kug, Matthieu Lengaigne, Michael J. McPhaden, Malte F. Stuecker, Andréa S. Taschetto, Axel Timmermann, Lixin Wu, Sang Wook Yeh, Guojian Wang, Benjamin Ng, Fan Jia, Yun Yang, Jun Ying, Xiao Tong Zheng, Tobias BayrJosephine R. Brown, Antonietta Capotondi, Kim M. Cobb, Bolan Gan, Tao Geng, Yoo Geun Ham, Fei Fei Jin, Hyun Su Jo, Xichen Li, Xiaopei Lin, Shayne McGregor, Jae Heung Park, Karl Stein, Kai Yang, Li Zhang, Wenxiu Zhong

Research output: Contribution to journalReview ArticleResearchpeer-review

305 Citations (Scopus)

Abstract

Originating in the equatorial Pacific, the El Niño–Southern Oscillation (ENSO) has highly consequential global impacts, motivating the need to understand its responses to anthropogenic warming. In this Review, we synthesize advances in observed and projected changes of multiple aspects of ENSO, including the processes behind such changes. As in previous syntheses, there is an inter-model consensus of an increase in future ENSO rainfall variability. Now, however, it is apparent that models that best capture key ENSO dynamics also tend to project an increase in future ENSO sea surface temperature variability and, thereby, ENSO magnitude under greenhouse warming, as well as an eastward shift and intensification of ENSO-related atmospheric teleconnections — the Pacific–North American and Pacific–South American patterns. Such projected changes are consistent with palaeoclimate evidence of stronger ENSO variability since the 1950s compared with past centuries. The increase in ENSO variability, though underpinned by increased equatorial Pacific upper-ocean stratification, is strongly influenced by internal variability, raising issues about its quantifiability and detectability. Yet, ongoing coordinated community efforts and computational advances are enabling long-simulation, large-ensemble experiments and high-resolution modelling, offering encouraging prospects for alleviating model biases, incorporating fundamental dynamical processes and reducing uncertainties in projections.

Original languageEnglish
Pages (from-to)628-644
Number of pages17
JournalNature Reviews Earth and Environment
Volume2
Issue number9
DOIs
Publication statusPublished - Sept 2021

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