Articles | Volume 24, issue 4
https://doi.org/10.5194/npg-24-599-2017
https://doi.org/10.5194/npg-24-599-2017
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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ankit Agarwal on behalf of the Authors (01 Sep 2017)  Author's response   Manuscript 
ED: Publish as is (09 Sep 2017) by Stéphane Vannitsem
AR by Ankit Agarwal on behalf of the Authors (11 Sep 2017)
Download
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.