globalchange  > 影响、适应和脆弱性
DOI: 10.1007/s00382-017-4013-2
Scopus记录号: 2-s2.0-85034236917
论文题名:
Nonlinear reconstruction of global climate leading modes on decadal scales
作者: Mukhin D.; Gavrilov A.; Loskutov E.; Feigin A.; Kurths J.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 51, 期:2018-05-06
起始页码: 2301
结束页码: 2310
语种: 英语
英文关键词: Climate modes ; Climate shifts ; Nonlinear data decomposition ; Pacific decadal oscillation ; Teleconnection patterns
Scopus关键词: data set ; decadal variation ; global climate ; nonlinearity ; Pacific Decadal Oscillation ; reconstruction ; teleconnection
英文摘要: A nonlinear decomposition method is applied to the analysis of global sea surface temperature (SST) time series in different epochs related to the Pacific Decadal Oscillation (PDO) since the end of 19th century to present time. This method allows one to extract an optimal (small) number of global nonlinear teleconnection patterns associated with distinct dominant time scales from the original high-dimensional spatially extended data set. In particular, it enables us to reveal ENSO teleconnection patterns corresponding to different PDO cycles during the last 145 years, to uncover four climate shifts connected with PDO phase changes and to reconstruct the corresponding global PDO patterns. We find that SST teleconnections between the ENSO region, extra-tropical Pacific regions and the Indian ocean became fundamentally nonlinear since the second half of 20th century. © 2017, Springer-Verlag GmbH Germany, part of Springer Nature.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109145
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Institute of Applied Physics of RAS, 46 Ulyanov St., Nizhny Novgorod, 603950, Russian Federation; Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, Potsdam, 14473, Germany

Recommended Citation:
Mukhin D.,Gavrilov A.,Loskutov E.,et al. Nonlinear reconstruction of global climate leading modes on decadal scales[J]. Climate Dynamics,2018-01-01,51(2018-05-06)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Mukhin D.]'s Articles
[Gavrilov A.]'s Articles
[Loskutov E.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Mukhin D.]'s Articles
[Gavrilov A.]'s Articles
[Loskutov E.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Mukhin D.]‘s Articles
[Gavrilov A.]‘s Articles
[Loskutov E.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.