Natural Time and Nowcasting Earthquakes: Are Large Global Earthquakes Temporally Clustered?

@article{Luginbuhl2018NaturalTA,
  title={Natural Time and Nowcasting Earthquakes: Are Large Global Earthquakes Temporally Clustered?},
  author={M. Luginbuhl and J. Rundle and D. Turcotte},
  journal={Pure and Applied Geophysics},
  year={2018},
  volume={175},
  pages={661-670}
}
The objective of this paper is to analyze the temporal clustering of large global earthquakes with respect to natural time, or interevent count, as opposed to regular clock time. To do this, we use two techniques: (1) nowcasting, a new method of statistically classifying seismicity and seismic risk, and (2) time series analysis of interevent counts. We chose the sequences of $$M_{\lambda } \ge 7.0$$Mλ≥7.0 and $$M_{\lambda } \ge 8.0$$Mλ≥8.0 earthquakes from the global centroid moment tensor (CMT… Expand

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References

SHOWING 1-10 OF 30 REFERENCES
Nowcasting Earthquakes: A Comparison of Induced Earthquakes in Oklahoma and at the Geysers, California
Nowcasting is a new method of statistically classifying seismicity and seismic risk (Rundle et al. 2016). In this paper, the method is applied to the induced seismicity at the Geysers geothermalExpand
Recurrence Statistics of Great Earthquakes
[1] We investigate the sequence of great earthquakes over the past century. To examine whether the earthquake record includes temporal clustering, we identify aftershocks and remove those from theExpand
Were Global M ≥8:3 Earthquake Time Intervals Random between 1900 and 2011?
The pattern of great earthquakes during the past ∼100 yr raises questions whether large earthquake occurrence is linked across global distances, or whether temporal clustering can be attributed toExpand
Evidence for a global seismic-moment release sequence
Temporal clustering of the larger earthquakes (foreshock-mainshock-aftershock) followed by relative quiescence (stress shadow) are characteristic of seismic cycles along plate boundaries. A globalExpand
Global risk of big earthquakes has not recently increased
  • P. Shearer, P. Stark
  • Engineering, Medicine
  • Proceedings of the National Academy of Sciences
  • 2011
TLDR
The timing of large (magnitude M≥7) earthquakes from 1900 to the present is examined, after removing local clustering related to aftershocks to suggest that the global risk of large earthquakes is no higher today than it has been in the past. Expand
Are megaquakes clustered
[1] We study statistical properties of the number of large earthquakes over the past century. We analyze the cumulative distribution of the number of earthquakes with magnitude larger than thresholdExpand
Computing Earthquake Probabilities on Global Scales
Large devastating events in systems such as earthquakes, typhoons, market crashes, electricity grid blackouts, floods, droughts, wars and conflicts, and landslides can be unexpected and devastating.Expand
The 2010–2014.3 global earthquake rate increase
In light of a heightened global earthquake rate during the first quarter of 2014 and recent studies concluding that large earthquakes affect global seismicity for extended periods, we revisit theExpand
Earthquake forecasting and its verification
Abstract. No proven method is currently available for the reliable short time prediction of earthquakes (minutes to months). However, it is possible to make probabilistic hazard assessments forExpand
Random variability explains apparent global clustering of large earthquakes
[1] The occurrence of 5 Mw ≥ 8.5 earthquakes since 2004 has created a debate over whether or not we are in a global cluster of large earthquakes, temporarily raising risks above long-term levels. IExpand
...
1
2
3
...