Articles | Volume 24, issue 4
Research article
13 Oct 2017
Research article |  | 13 Oct 2017

Multi-scale event synchronization analysis for unravelling climate processes: a wavelet-based approach

Ankit Agarwal, Norbert Marwan, Maheswaran Rathinasamy, Bruno Merz, and Jürgen Kurths

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Cited articles

Addison, P. S.: Wavelet transforms and the ECG: a review, Physiol. Meas., 26, R155, 2005.
Agarwal, A., Maheswaran, R., Sehgal, V., Khosa, R., Sivakumar, B., and Bernhofer, C.: Hydrologic regionalization using wavelet-based multiscale entropy method, J. Hydrol., 538, 22–32, 2016a.
Agarwal, A., Maheswaran, R., Kurths, J., and Khosa, R.: Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization – a Case Study in the Western United States, Water Resour. Manag., 30, 4399–4413,, 2016b.
Arnhold, J., Grassberger, P., Lehnertz, K., and Elger, C. E.: A robust method for detecting interdependences: application to intracranially recorded EEG, Physica D, 134, 419–430, 1999.
Barrat, A., Barthelemy, M., and Vespignani, A.: Dynamical processes on complex networks, Cambridge university press, 2008.
Short summary
Extreme events such as floods and droughts result from synchronization of different natural processes working at multiple timescales. Investigation on an observation timescale will not reveal the inherent underlying dynamics triggering these events. This paper develops a new method based on wavelets and event synchronization to unravel the hidden dynamics responsible for such sudden events. This method is tested with synthetic and real-world cases and the results are promising.