Regensburg 2013 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 4: Focus Session: Atmospheric and Climate Complexity
DY 4.6: Vortrag
Montag, 11. März 2013, 17:15–17:30, H47
Disentangling different types of El Niño episodes by evolving climate network analysis — Alexander Radebach1,2,3, •Reik V. Donner1, Jonathan F. Donges1,2, Jakob G.B. Runge1,2, and Jürgen Kurths1,2 — 1Potsdam Institute for Climate Impact Research, Germany — 2Department of Physics, Humboldt University, Berlin, Germany — 3Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
Complex network theory provides a powerful toolbox for studying the backbone 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 of surface air temperatures. We provide a detailed study on the temporal variability of several global climate network characteristics, which allows deriving results that go significantly beyond recent findings. Based on a simple conceptual view on sparse climate networks, we are able to give a thorough interpretation of our evolving climate network characteristics, which allows a functional discrimination between recently recognized different types of El Niño episodes (so-called cold-tongue and warm pool events). In this respect, our analysis provides deep insights into the Earth’s climate system, particularly its response to strong volcanic eruptions and large-scale impacts of different types of El Niño episodes, and thus contributes to the understanding of the global signatures of distinct phases of the El Niño Southern Oscillation (ENSO).