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ENSO and greenhouse warming

Authors
Cai, WenjuSantoso, AgusWang, GuojianYeh, Sang-WookAn, Soon-IlCobb, Kim M.Collins, MatGuilyardi, EricJin, Fei-FeiKug, Jong-SeongLengaigne, MatthieuMcPhaden, Michael J.Takahashi, KenTimmermann, AxelVecchi, GabrielWatanabe, MasahiroWu, Lixin
Issue Date
Sep-2015
Publisher
Nature Publishing Group
Keywords
NINO-SOUTHERN-OSCILLATION; SEA-SURFACE TEMPERATURE; INDIAN-OCEAN DIPOLE; EL-NINO; LA-NINA; WALKER CIRCULATION; TROPICAL PACIFIC; NORTH PACIFIC; INDO-PACIFIC; ATMOSPHERIC RESPONSE
Citation
Nature Climate Change, v.5, no.9, pp.849 - 859
Indexed
SCIE
SSCI
SCOPUS
Journal Title
Nature Climate Change
Volume
5
Number
9
Start Page
849
End Page
859
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/17400
DOI
10.1038/NCLIMATE2743
ISSN
1758-678X
Abstract
The El Nino/Southern Oscillation (ENSO) is the dominant climate phenomenon affecting extreme weather conditions worldwide. Its response to greenhouse warming has challenged scientists for decades, despite model agreement on projected changes in mean state. Recent studies have provided new insights into the elusive links between changes in ENSO and in the mean state of the Pacific climate. The projected slow-down in Walker circulation is expected to weaken equatorial Pacific Ocean currents, boosting the occurrences of eastward-propagating warm surface anomalies that characterize observed extreme El Nino events. Accelerated equatorial Pacific warming, particularly in the east, is expected to induce extreme rainfall in the eastern equatorial Pacific and extreme equatorward swings of the Pacific convergence zones, both of which are features of extreme El Nino. The frequency of extreme La Nina is also expected to increase in response to more extreme El Ninos, an accelerated maritime continent warming and surface-intensified ocean warming. ENSO-related catastrophic weather events are thus likely to occur more frequently with unabated greenhouse-gas emissions. But model biases and recent observed strengthening of the Walker circulation highlight the need for further testing as new models, observations and insights become available.
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