The occurrence of earthquakes is characterized by great spatio-temporal variability arising from the complex interactions between them. In recent years, significant progress has been made towards understanding scaling laws, spatiotemporal correlations and clustering, and the emergence of seismicity patterns.
Widespread applications and development of new models in statistical seismology have provided new insights, with direct implications for time-dependent seismic hazard assessment. In addition, the large amount of available data on a global scale provides new opportunities for model testing.
This session focuses both on emerging systematic methods aimed to improve our understanding of the physical processes responsible for the distribution of earthquakes in space and time, and new models, technologies, and tools for quantifying both the seismotectonic process and its evolution. Particular emphasis will be placed on:
- physical and statistical models of earthquake occurrence;
- analysis of earthquake clustering;
- space-time properties of earthquake statistics;
- quantitative testing of earthquake occurrence models;
- implications for time-dependent hazard assessment;
- methods for earthquake forecasting;
- data analysis and requirements for model testing.

Solicited speaker:
Sebastian Hainzl, hainzl@gfz-potsdam.de