DOI: 10.1002/2016GL069119
论文题名: A climate network-based index to discriminate different types of El Niño and La Niña
作者: Wiedermann M. ; Radebach A. ; Donges J.F. ; Kurths J. ; Donner R.V.
刊名: Geophysical Research Letters
ISSN: 0094-8955
EISSN: 1944-8686
出版年: 2016
卷: 43, 期: 13 起始页码: 7176
结束页码: 7185
语种: 英语
英文关键词: Central Pacific El Niño
; complex networks
; East Pacific El Niño
; El Niño
; La Niña
Scopus关键词: Complex networks
; Dispersions
; Classification scheme
; East Pacific
; Eastern pacific
; Equatorial climate
; Global impacts
; Spatial localization
; Surface air temperatures
; Teleconnections
; Nickel
; air temperature
; atmosphere-ocean coupling
; climate classification
; climate effect
; climate variation
; El Nino
; La Nina
; teleconnection
; Pacific Ocean
; Pacific Ocean (Central)
; Pacific Ocean (East)
英文摘要: El Niño exhibits distinct Eastern Pacific (EP) and Central Pacific (CP) types which are commonly, but not always consistently, distinguished from each other by different signatures in equatorial climate variability. Here we propose an index based on evolving climate networks to objectively discriminate between both flavors by utilizing a scalar-valued measure that quantifies spatial localization and dispersion in global teleconnections of surface air temperature. Our index displays a sharp peak (high localization) during EP events, whereas during CP events (larger dispersion) it remains close to the values observed during normal periods. In contrast to previous classification schemes, our approach specifically accounts for El Niño's global impacts. We confirm recent El Niño classifications for the years 1951 to 2014 and assign types to those cases where former works yielded ambiguous results. Ultimately, we demonstrate that our index provides a similar discrimination of La Niña episodes into two distinct types. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978484156&doi=10.1002%2f2016GL069119&partnerID=40&md5=4fd611be64a889c3e5bd7656354ded0b
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9918
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Potsdam Institute for Climate Impact Research, Potsdam, Germany
Recommended Citation:
Wiedermann M.,Radebach A.,Donges J.F.,et al. A climate network-based index to discriminate different types of El Niño and La Niña[J]. Geophysical Research Letters,2016-01-01,43(13).