><Publications

In: Advances in Nonlinear Geosciences, Eds.: A. A. Tsonis, Springer International, Cham, Switzerland, ISBN: 978-3-319-58895-7, 357–368 (2018) DOI:10.1007/978-3-319-58895-7_18

Regime Change Detection in Irregularly Sampled Time Series

N. Marwan, D. Eroglu, I. Ozken, T. Stemler, K.-H. Wyrwoll, J. Kurths

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Irregular sampling is a common problem in palaeoclimate studies. We propose a method that provides regularly sampled time series and at the same time a difference filtering of the data. The differences between successive time instances are derived by a transformation costs procedure. A subsequent recurrence analysis is used to investigate regime transitions. This approach is applied on speleothem-based palaeoclimate proxy data from the Indonesian-Australian monsoon region. We can clearly identify Heinrich events in the palaeoclimate as characteristic changes in dynamics.

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