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Disentangling different types of El Nino episodes by evolving climate network analysis
Stockholm University, Faculty of Science, Stockholm Resilience Centre. University of Berlin, Germany.
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2013 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, E-ISSN 1550-2376, Vol. 88, no 5, 052807- p.Article in journal (Refereed) Published
Abstract [en]

Complex network theory provides a powerful toolbox for studying the structure of statistical interrelationships between multiple time series in various scientific disciplines. In this work, we apply the recently proposed climate network approach for characterizing the evolving correlation structure of the Earth's climate system based on reanalysis data for surface air temperatures. We provide a detailed study of the temporal variability of several global climate network characteristics. Based on a simple conceptual view of red climate networks (i.e., networks with a comparably low number of edges), we give a thorough interpretation of our evolving climate network characteristics, which allows a functional discrimination between recently recognized different types of El Nino episodes. Our analysis provides deep insights into the Earth's climate system, particularly its global response to strong volcanic eruptions and large-scale impacts of different phases of the El Nino Southern Oscillation.

Place, publisher, year, edition, pages
2013. Vol. 88, no 5, 052807- p.
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Physical Sciences
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URN: urn:nbn:se:su:diva-97652DOI: 10.1103/PhysRevE.88.052807ISI: 000326883700004OAI: oai:DiVA.org:su-97652DiVA: diva2:680566
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AuthorCount:5;

Available from: 2013-12-18 Created: 2013-12-16 Last updated: 2017-12-06Bibliographically approved

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