Articles | Volume 27, issue 1
https://doi.org/10.5194/npg-27-1-2020
https://doi.org/10.5194/npg-27-1-2020
Research article
 | 
30 Jan 2020
Research article |  | 30 Jan 2020

Magnitude correlations in a self-similar aftershock rates model of seismicity

Andres F. Zambrano Moreno and Jörn Davidsen

Related subject area

Subject: Predictability, probabilistic forecasts, data assimilation, inverse problems | Topic: Solid earth, continental surface, biogeochemistry | Techniques: Simulation
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Cited articles

Baiesi, M. and Paczuski, M.: Scale-Free Networks of Earthquakes and Aftershocks, Phys. Rev. E, 69, 066106, https://doi.org/10.1103/PhysRevE.69.066106, 2004. a
Davidsen, J. and Baiesi, M.: Self-Similar Aftershock Rates, Phys. Rev. E, 94, 022314, https://doi.org/10.1103/PhysRevE.94.022314, 2016. a, b, c, d, e, f, g, h, i, j, k, l, m, n
Davidsen, J. and Green, A.: Are Earthquake Magnitudes Clustered?, Phys. Rev. Lett., 106, 108502, https://doi.org/10.1103/PhysRevLett.106.108502, 2011. a, b, c, d, e
Davidsen, J., Kwiatek, G., and Dresen, G.: No Evidence of Magnitude Clustering in an Aftershock Sequence of Nano- and Picoseismicity, Phys. Rev. Lett., 108, 038501, https://doi.org/10.1103/PhysRevLett.108.038501, 2012. a, b, c
Davidsen, J., Gu, C., and Baiesi, M.: Generalized Omori-Utsu Law for Aftershock Sequences in Southern California, Geophys. J. Int., 201, 965–978, https://doi.org/10.1093/gji/ggv061, 2015. a
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We study a model containing the characteristic of self-similarity (invariance under scale) which allows for scaling between lab experiments and geographical-scale seismicity. Particular to this model is the dependency of the earthquake rates on the magnitude difference between events that are causally connected. We present results of a statistical analysis of magnitude correlations for the model along with its implications for the ongoing efforts in earthquake forecasting.