多元ENSO指数
气候学
厄尔尼诺南方涛动
遥相关
太平洋十年振荡
环境科学
气候模式
全球变暖
海面温度
气候变化
南方涛动
海洋学
地质学
作者
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 Bayr
标识
DOI:10.1038/s43017-021-00199-z
摘要
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. The El Niño–Southern Oscillation (ENSO) has global climatic implications, necessitating understanding of its observed and projected changes. This Review brings together knowledge of ENSO in a warming climate, revealing projected increases in ENSO magnitude, as well as ENSO-related rainfall and sea surface temperature variability.
科研通智能强力驱动
Strongly Powered by AbleSci AI