Room: Tubughnenq’ 5
Date: 5/2/2024
Session Time: 8:00 AM to 9:15 AM (local time)
Seismic monitoring is not only an essential component of earthquake response but also forms the backbone of a substantial amount of research into seismic hazards, the earthquake process and seismotectonics. To ensure networks best serve the public, media, government and academic communities, it is important to continue to develop monitoring networks' abilities to accurately and rapidly catalog earthquakes. Due to the operational environment of seismic monitoring, seismic networks encounter many unique challenges not seen by the research community. In this session, we highlight the unique observations and challenges of monitoring agencies and look to developments that may improve networks' ability to fulfill their missions. Seismic operation centers play a crucial role in collecting seismic data, and generating earthquake products including catalogs, warnings and maps of ground shaking. The purpose of the session is to foster collaboration between network operators, inform the wider seismological community of the interesting and challenging problems within network seismology and look to the future on how to improve monitoring capabilities. This session is not only an opportunity for monitoring agencies to highlight new developments in their capabilities, but we also encourage submissions describing new instrumentation, methods and techniques that would benefit network operations for detecting, locating and characterizing earthquakes, particularly in a near real-time environment.
Conveners:
Blaine Bockholt, Idaho National Laboratory (blaine.bockholt@inl.gov)
Renate Hartog, University of Washington (jhartog@uw.edu)
Kristine L. Pankow, University of Utah (pankowseis2@gmail.com)
Adam Ringler, U.S. Geological Survey (aringler@usgs.gov)
Dmitry Storchak, International Seismological Centre (dmitry@isc.ac.uk)
Oral Presentations
Participant Role | Details | Start Time | Minutes | Action |
---|---|---|---|---|
Submission | Making Phase-Picking Neural Networks More Consistent and Interpretable | 08:00 AM | 15 | View |
Submission | Evaluation of Deep Learning Phase Picking Models | 08:15 AM | 15 | View |
Submission | A Comparison of Machine Learning Methods of Association | 08:30 AM | 15 | View |
Submission | A Comprehensive Earthquake Focal Mechanism Catalog for Nevada Obtained Through Deep Learning Algorithms | 08:45 AM | 15 | View |
Submission | Deep Learning Enhanced Earthquake Catalog for Northern California | 09:00 AM | 15 | View |
Total: | 75 Minute(s) |
Network Seismology: Recent Developments, Challenges and Lessons Learned - III
Description