Using Historical Information to Improve Seismic Data Processing Methods I

Explore cutting-edge seismic data processing methods in this comprehensive conference session from the 2012 AGU Fall Meeting. Delve into six presentations covering topics such as Bayesian approaches for global monitoring, machine learning techniques for rapid epicentral distance and magnitude estimation, large-scale processing of seismic archives, data-intensive discovery methods, improved absolute event location using combined arrival time data, and high-resolution earthquake catalogs generated through waveform cross-correlation. Gain insights from invited speakers and experts in the field as they discuss innovative approaches to leveraging historical information for enhancing seismic data analysis and monitoring capabilities.