Monte Carlo Method for Determining Earthquake Recurrence Parameters from Short Paleoseismic Catalogs: Example Calculations for California: USGS Open-File Report (2007-1437-C)

Tom Parsons delves into the intricacies of earthquake recurrence and its statistical analysis through the Monte Carlo method in his detailed exploration of paleoseismic catalogs. This work primarily focuses on the challenges posed by short catalogs, particularly in regions like California where seismic activity is prominent. By applying sophisticated mathematical techniques, Parsons illustrates how researchers can derive significant recurrence parameters even when faced with limited data.

Through practical examples and clear calculations, he provides valuable insights into the relationships between historical seismic events and their probabilities, equipping geoscientists with essential tools for risk assessment and mitigation. The report stands as a foundational piece for those involved in seismology and earthquake preparedness, underscoring the importance of rigorous data analysis in understanding Earth’s complex geological behaviors. Parsons’ commitment to enhancing predictive models serves to advance the field of earthquake research and increase public safety efforts in seismically active areas.