Articles | Volume 24, issue 2
Nonlin. Processes Geophys., 24, 179–187, 2017
https://doi.org/10.5194/npg-24-179-2017
Nonlin. Processes Geophys., 24, 179–187, 2017
https://doi.org/10.5194/npg-24-179-2017

Research article 27 Apr 2017

Research article | 27 Apr 2017

Sandpile-based model for capturing magnitude distributions and spatiotemporal clustering and separation in regional earthquakes

Rene C. Batac et al.

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Interactive discussion

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 Rene Batac on behalf of the Authors (08 Sep 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Oct 2016) by Richard Gloaguen
RR by Francois Landes (07 Nov 2016)
RR by Stefan Hergarten (22 Nov 2016)
ED: Publish subject to minor revisions (further review by Editor) (04 Jan 2017) by Richard Gloaguen
AR by Rene Batac on behalf of the Authors (10 Jan 2017)  Author's response    Manuscript
ED: Publish as is (11 Jan 2017) by Richard Gloaguen
AR by Rene Batac on behalf of the Authors (17 Jan 2017)  Author's response    Manuscript
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Short summary
The sandpile-based model is the paradigm model of self-organized criticality (SOC), a mechanism believed to be responsible for the occurrence of scale-free (power-law) distributions in nature. One particular SOC system that is rife with power-law distributions is that of earthquakes, the most widely known of which is the Gutenberg–Richter (GR) law of earthquake energies. Here, we modify the sandpile to be of use in capturing the energy, space, and time statistics of earthquakes simultaneously.