Regensburg 2010 – scientific programme
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DY: Fachverband Dynamik und Statistische Physik
DY 30: Posters II
DY 30.5: Poster
Thursday, March 25, 2010, 16:00–18:00, Poster C
Detecting transitions in paleoclimatological time-series using recurrence networks — •Jonathan Friedemann Donges1,2, Norbert Marwan1, Reik Donner1,3,4, Yong Zou1, and Jürgen Kurths1,2 — 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.