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DY: Fachverband Dynamik und Statistische Physik

DY 30: Posters II

DY 30.5: Poster

Donnerstag, 25. März 2010, 16:00–18:00, Poster C

Detecting transitions in paleoclimatological time-series using recurrence networks — •Jonathan Friedemann Donges^1,2, Norbert Marwan¹, Reik Donner^1,3,4, Yong Zou¹, and Jürgen Kurths^1,2 — ¹Potsdam Institute for Climate Impact Research, P.O. Box 601203, 14412 Potsdam, Germany — ²Department of Physics, Humboldt University Berlin, Newtonstr. 15, 12489 Berlin, Germany — ³Max Planck Institute for Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany — ⁴Institute for Transport and Economics, Dresden University of Technology, Würzburger Str. 35, 01187 Dresden, Germany

We propose a novel, robust and effective approach for analysing time series using complex network theory. We identify the recurrence matrix calculated from time series with the adjacency matrix of a complex network, and apply measures for the characterisation of complex networks to the recurrence matrix. By using the logistic map, we illustrate the potentials of these complex network measures for detecting dynamical transitions. Finally we apply the proposed approach to speleothem palaeo-climate records and identify subtle changes of the past climate regime.