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  Early Warning of the Pacific Decadal Oscillation Phase Transition Using Complex Network Analysis

Lu, Z., Yuan, N., Yang, Q., Ma, Z., Kurths, J. (2021): Early Warning of the Pacific Decadal Oscillation Phase Transition Using Complex Network Analysis. - Geophysical Research Letters, 48, 7, e2020GL091674.
https://doi.org/10.1029/2020GL091674

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 Creators:
Lu, Zhenghui1, Author
Yuan, Naiming1, Author
Yang, Qing1, Author
Ma, Zhuguo1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Obtaining an efficient prediction of the Pacific Decadal Oscillation (PDO) phase transition is a worldwide challenge. Here, we employed the climate network analysis to uncover early warning signals prior to a PDO phase transition. This way an examination of cooperative behavior in the PDO region revealed an enhanced signal that propagated from the western Pacific to the northwest coast of North America. The detection of this signal corresponds very well to the time when the upper ocean heat content in the off-equatorial northwestern tropical Pacific reaches a threshold, in which case a PDO phase transition may be expected with the arising of the next El Ni urn:x-wiley:00948276:media:grl61986:grl61986-math-0001o/La Niurn:x-wiley:00948276:media:grl61986:grl61986-math-0002 a event. The objectively detected early warning signal successfully forewarned all the six PDO phase transitions from the 1890–2000, and also underpinned the possible PDO phase transition around 2015, which may be triggered by the strong El Niurn:x-wiley:00948276:media:grl61986:grl61986-math-0003o event in 2015–2016.

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 Dates: 2021-01-312021-04-142021-04-14
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2020GL091674
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Oceans
Research topic keyword: Tipping Elements
OATYPE: Hybrid Open Access
Organisational keyword: RD4 - Complexity Science
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Title: Geophysical Research Letters
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 48 (7) Sequence Number: e2020GL091674 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals182
Publisher: American Geophysical Union (AGU)