From Alarm-Based to Rate-Based Earthquake Forecast Models

Bulletin of the Seismological Society of America

Volumn 102, Issue 1, 2012, Pages 64-72

  Shebalin, Peter ^a   Narteau, Clément ^b   Holschneider, Matthias ^c  

^a INSTITUTE OF EARTHQUAKE PREDICTION THEORY AND MATHEMATICAL GEOPHYSICS   (Russian Federation)

^b INSTITUT DE PHYSIQUE DU GLOBE DE PARIS   (France)

^c UNIVERSITY OF POTSDAM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ABSOLUTE VALUES; AMOUNT OF INFORMATION; CONVERSION METHODS; DIFFERENTIAL PROBABILITIES; EARTHQUAKE FORECAST; EARTHQUAKE MAGNITUDES; FORECAST MODEL; FUNCTION VALUES; INITIAL RATE; RATE BASED MODEL; REFERENCE MODELS; SEISMIC HAZARD MAPS; SPACE-TIME REGION; STANDARD EVALUATIONS; TESTING CENTER;

EARTHQUAKE EFFECTS; FORECASTING; MODELS;

ALARM SYSTEMS;

AFTERSHOCK; EARTHQUAKE MAGNITUDE; EARTHQUAKE PREDICTION; FORECASTING METHOD; PERFORMANCE ASSESSMENT; PROBABILITY; TESTING METHOD;

EID: 84857376676     PISSN: 00371106     EISSN: 19433573     Source Type: Journal    
DOI: 10.1785/0120110126     Document Type: Article

References (31)

1. Aki, K. (1996). Scale dependence in earthquake phenomena and its relevance to earthquake prediction, Proc. Natl. Acad. Sci. Unit. States Am. 93, 3740-3747.
2. Gerstenberger, M. C., L. M. Jones, and S. Wiemer (2007). Short-term aftershock probabilities: Case studies in California, Seismol. Res. Lett. 78, 66-77.
3. Gusev, A. (1976). Indicator earthquakes and prediction, in Seismicity and Deep Structure of Siberia and Far East V. I. Keilis-Borok and A. A. Soloviev, Nauka, Novosibirsk, Russia, 241-247 (in Russian).
4. Helmstetter, A., Y. Y. Kagan, and D. D. Jackson (2006). Comparison of short-term and time-independent earthquake forecast models for southern California, Bull. Seismol. Soc. Am. 96, 90-106.
5. Jordan, T. H. (2006). Earthquake predictability, brick by brick, Seismol. Res. Lett. 77, 3-6.
6. Jordan, T., and L. Jones (2010). Operational earthquake forecasting: Some thoughts on why and how, Seismol. Res. Lett. 81, 571-574.
7. Keilis-Borok, V., and V. Kossobokov (1990). Premonitory activation of earthquake flow-algorithm M8, Phys. Earth Planet. In. 61, 73-83.
8. Keilis-Borok, V., and I. Rotwain (1990). Diagnosis of time of increased probability of strong earthquakes in different regions of the worldalgorithm CN, Phys. Earth Planet. In. 61, 57-72.
9. Knopoff, L. (2000). The magnitude distribution of declustered earthquakes in southern California, Proc. Natl. Acad. Sci. Unit. States Am. 97, 11,880-11,884.
10. Kossobokov, V., and P. Shebalin (2003). Earthquake prediction, chapter 4 in Nonlinear Dynamics of the Lithosphere and Earthquake Prediction, V. I. Keilis-Borok and A. A. Soloviev, Springer-Verlag, Berlin-Heidelberg, 141-205.
11. Molchan, G. (1990). Strategies in strong earthquake prediction, Phys. Earth Planet. In. 61, 84-98.
12. Molchan, G. (1991). Structure of optimal strategies in earthquake prediction, Tectonophysics. 193, 267-276.
13. Molchan, G., and V. Keilis-Borok (2008). Earthquake prediction: Probabilistic aspect, Geophys. J. Int. 173, 1012-1017.
14. Narteau, C., S. Byrdina, P. Shebalin, and D. Schorlemmer (2009). Common dependence on stress for the two fundamental laws of statistical seismology, Nature 462, 642-645, doi 10.1038/nature08553.
15. Narteau, C., P. Shebalin, and M. Holschneider (2002). Temporal limits of the power law aftershock decay rate, J. Geophys. Res. 107, doi 10.1029/2002JB001868.
16. Narteau, C., P. Shebalin, and M. Holschneider (2005). Onset of power law aftershock decay rates in southern California, Geophys. Res. Lett. 32, doi 10.1029/2005GL023951.
17. Narteau, C., P. Shebalin, and M. Holschneider (2008). Loading rates in California inferred from aftershocks, Nonlinear Process. Geophys. 15, 245-263.
18. Narteau, C., P. Shebalin, G. Zöller, S. Hainzl, and M. Holschneider (2003). Emergence of a band-limited power law in the aftershock decay rate of a slider-block model of seismicity, Geophys. Res. Lett. 30, doi 10.1029/2003GL017110.
19. Peresan, A., G. Costa, and G. Panza (1999). Seismotectonic model and CN earthquake prediction in italy, Pure Appl. Geophys. 154, 281-306.
20. Rhoades, D. A., and M. C. Gerstenberger (2009). Mixture models for improved short-term earthquake forecasting, Bull. Seismol. Soc. Am. 154, no. 2A, 636-646, doi 10.1785/0120080063.
21. Romashkova, L., and V. Kossobokov (2004). Intermediate-term earthquake prediction based on spatially stable clusters of alarms, Dokl. Earth Sci. 398, 947-949.
22. Shebalin, P. (2004). Aftershocks as indicators of the state of stress in a fault system, Dokl. Earth Sci. 398, 978-982.
23. Shebalin, P., V. Keilis-Borok, I. Zaliapin, S. Uyeda, T. Nagao, and N. Tsybin (2004). Advance short-term prediction of the large Tokachi-Oki earthquake, September 25, 2003, m = 8:1-a case history, Earth Planets Space 56, 715-724.
24. Shebalin, P., C. Narteau, M. Holschneider, and D. Schorlemmer (2011). Short-term earthquake forecasting using early aftershock statistics, Bull. Seimol. Soc. Am. 101, no. 1, 297-312, doi 10.1785/0120100119
25. Wessel, P., and W. Smith (1998). New, improved version of Generic Mapping Tools released, Eos Trans. AGU 79, no. 47, 579.
26. Zechar, J. (2010). Evaluating earthquake predictions and earthquake forecasts: A guide for students and new researchers, Community Online Resource for Statistical Seismicity Analysis 1-26, doi 10.5078/corssa-77337879.
27. Zechar, J., and T. Jordan (2008). Testing alarm-based earthquake predictions, Geophys. J. Int. 172, 715-724, doi 10.1111/j.1365-246X.2007.03676.x.
28. Zechar, J., and T. Jordan (2010). The area skill score statistic for evaluating earthquake predictability experiments, Pure Appl. Geophys. 167, 893-906.
29. Zechar, J. D., M. C. Gerstenberger, and D. A. Rhoades (2010). Likelihoodbased tests for evaluating space-rate-magnitude earthquake forecasts, Bull. Seismol. Soc. Am. 100, no. 3, 1184-1195, doi 10.1785/0120090192.
30. Zechar, J. D., T. H. Jordan, D. Schorlemmer, and M. Liukis (2007). Comparison of two earthquake predictability evaluation approaches, Molchan error trajectory and likelihood, Seismol. Res. Lett. 78, 250.
31. Zechar, J., D. Schorlemmer, M. Liukis, J. Yu, F. Euchner, P. J. Maechling, and T. H. Jordan (2010). The Collaboratory for the Study of Earthquake Predictability perspective on computational earthquake science, Concurrency Comput. Pract. Ex. 22, 1836-1847.