1. Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA 90095-1567, ykagan@ucla.edu, http://eq.ess.ucla.edu/~kagan.htmlykagan@ucla.edu http://moho.ess.ucla.edu/~kagan/Collins13.ppt Global CMT, ISC-GEM, & GEM catalogs: input to GEAR

2. Outline of the Talk Statistical analysis of earthquake occurrence – earthquake numbers, spatial scaling, size, time, space, and focal mechanism orientation statistical distributions. Current global earthquake forecasts and their testing, RELM/CSEP projects. GCMT catalog, its analysis. ISC-GEM catalog, analysis sketch.

3. World seismicity: 1976 – 2012 (GCMT)

4. GCMT catalog, earthquake numbers

8. Advantages of this distribution: Simple (only one more parameter than G-R); Has a finite integrated moment (unlike G-R) for  < 1; Fits global subcatalogs slightly better than the gamma distribution.

10. The maximum-likelihood method is used to determine the parameters of these tapered G-R distributions (and their uncertainties): An ideal case (both parameters determined) A typical case (corner magnitude unbounded from above)

11. Review of results on spectral slope,  Although there are variations, none is significant with 95%-confidence. Kagan’s [1999] hypothesis of uniform  still stands.

13. Kagan, Y. Y., 2002. Aftershock zone scaling, Bull. Seismol. Soc. Amer., 92, 641-655.

14. All earthquakes -- GCMT 1977/1/1--2001/1/1

15. All earthquakes -- GCMT 1977/1/1--2013/02

16. Active continents -- GCMT 1977/1/1--2010/9/21

19. Kagan, Y. Y., and D. D. Jackson, 1995. New seismic gap hypothesis: Five years after, J. Geophys. Res., 100, 3943-3959. N test (events number) L test (events location likelihood) R test (likelihood comparison of models)

20. Jackson, D. D., and Y. Y. Kagan, 1999. Testable earthquake forecasts for 1999, Seism. Res. Lett., 70, 393-403. Combined long- and short-term forecast for north- and south- western Pacific area

21. Forecast: Long-term earthquake rate based on GCMT catalog 1977-present. 0.1 x 0.1 degree, Magnitude M>=5.8

22. Forecast: Short-term earthquake rate based on GCMT catalog 1977- present. 0.1 x 0.1 degree, Magnitude M>=5.8

23. Earthquake forecast conclusions We present an earthquake forecast program which quantitatively predicts both long- and short-term earthquake probabilities. The program is numerically and rigorously testable both retrospectively and prospectively as done by CSEP worldwide, as well as in California, Italy, Japan, New Zealand, etc. It is ready to be implemented as a technological solution for earthquake hazard forecasting and early warning.

25. ISC-GEM magnitudes

28. Spatial moments: PDE vs GEM

30. Japanese catalog, 1925-64 vs 1965-77: Kagan & Knopoff, GJRAS, 1980

31. Fig. 3 from Kagan, GJI, 168(3), 1175-1194, 2007

32. END Thank you

33. http://bemlar.ism.ac.jp/wiki/index.php/Bird%27s_Zones

34. Kagan, Y. Y., 2000. Temporal correlations of earthquake focal mechanisms, Geophys. J. Int., 143, 881-897.

35. Error diagram tau, nu for global long- term seismicity (M > 5.0) forecast. Solid black line -- the strategy of random guess. Solid thick red diagonal line is a curve for the global forecast. Blue line is earthquake distribution from the PDE catalog in 2004-2006 (forecast); magenta line corresponds to earthquake distribution from the PDE catalog in 1969-2003

39. Statistical studies of earthquake catalogs -- time, size, space, focal mechanism Catalogs are a major source of information on earthquake occurrence. Since late 19-th century certain statistical features were established: Omori (1894) studied temporal distribution; Gutenberg & Richter (1941; 1944) -- size distribution. Quantitative investigations of spatial patterns started late (Kagan & Knopoff, 1980). Focal mechanism investigations (Kagan, 1982; 1991; 2009; 2012)

40. ISC-GEM magnitudes