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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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Volume 22, issue 5
Nonlin. Processes Geophys., 22, 589–599, 2015
https://doi.org/10.5194/npg-22-589-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Nonlin. Processes Geophys., 22, 589–599, 2015
https://doi.org/10.5194/npg-22-589-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Brief communication 09 Oct 2015

Brief communication | 09 Oct 2015

Brief Communication: Earthquake sequencing: analysis of time series constructed from the Markov chain model

M. S. Cavers and K. Vasudevan

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Michael S. Cavers on behalf of the Authors (20 Jun 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Jun 2015) by Ilya Zaliapin
RR by Anonymous Referee #1 (29 Jun 2015)
RR by Reik Donner (30 Jul 2015)
ED: Publish subject to minor revisions (further review by Editor) (30 Jul 2015) by Ilya Zaliapin
AR by Michael S. Cavers on behalf of the Authors (19 Aug 2015)  Author's response    Manuscript
ED: Publish as is (05 Sep 2015) by Ilya Zaliapin
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Short summary
We introduced a new modified Markov chain model to generate a time series of the earthquake sequences from a global catalogue with an optimum time sampling of 9 days. Here, we subject the time series to a known analysis method namely an ensemble empirical mode decomposition to study the state-to-state fluctuations in each of the intrinsic mode functions. Also, we establish the power-law behaviour of the time series with the Fano factor and Allan factor used in time-correlative behaviour studies
We introduced a new modified Markov chain model to generate a time series of the earthquake...
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