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  Network analysis reveals strongly localized impacts of El Niño

Fan, J., Meng, J., Ashkenazy, Y., Havlin, S., Schellnhuber, H. J. (2017): Network analysis reveals strongly localized impacts of El Niño. - Proceedings of the National Academy of Sciences of the United States of America (PNAS), 114, 29, 7543-7548.
https://doi.org/10.1073/pnas.1701214114

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 Creators:
Fan, J.1, Author
Meng, J.1, Author
Ashkenazy, Y.1, Author
Havlin, S.1, Author
Schellnhuber, Hans Joachim2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Climatic conditions influence the culture and economy of societies and the performance of economies. Specifically, El Nin˜ o as an extreme climate event is known to have notable effects on health, agriculture, industry, and conflict. Here, we construct directed and weighted climate networks based on near-surface air temperature to investigate the global impacts of El Nin˜ o and La Nin˜ a. We find that regions that are characterized by higher positive/negative network “in”-weighted links are exhibiting stronger correlations with the El Nin˜ o basin and are warmer/cooler during El Nin˜ o/La Nin˜ a periods. In contrast to non-El Nin˜ o periods, these stronger inweighted activities are found to be concentrated in very localized areas, whereas a large fraction of the globe is not influenced by the events. The regions of localized activity vary from one El Nin˜ o (La Nin˜ a) event to another; still, some El Nin˜ o (La Nin˜ a) events are more similar to each other. We quantify this similarity using network community structure. The results and methodology reported here may be used to improve the understanding and prediction of El Nin˜ o/La Nin˜ a events and also may be applied in the investigation of other climate variables.

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 Dates: 2017
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1073/pnas.1701214114
PIKDOMAIN: Director / Executive Staff / Science & Society
eDoc: 7695
Research topic keyword: Monsoon
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Weather
Research topic keyword: Climate impacts
Research topic keyword: Extremes
Model / method: Nonlinear Data Analysis
Regional keyword: South America
Regional keyword: Africa
Regional keyword: Asia
Organisational keyword: Director Emeritus Schellnhuber
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America (PNAS)
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 114 (29) Sequence Number: - Start / End Page: 7543 - 7548 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals410