Paul Earle
Enjoy earthquake monitoring and associated research? Then please consider
submitting an SSA abstract to the session...
*New Frontiers in Global Seismic Monitoring and Earthquake Research*
Driven by the societal expectation for timely, accurate information, the
past decade has seen dramatic improvements as a result of increased
computational efficiency, seismic data coverage and improved communication
technology. While aspects of earthquake research have taken advantage of
this evolution, the adoption of improvements in earthquake monitoring has
not been fully leveraged. In real-time monitoring, earthquakes are
characterized in a vacuum, without leveraging knowledge of past events. New
data types may help characterize earthquakes more quickly and accurately.
New opportunities exist for rapidly communicating information. With these
advances, global seismic monitoring can improve the quality and timeliness
of information shared with the public.
A U.S. Geological Survey Powell Center Working Group explored these issues
at a recent meeting, attempting to prioritize future opportunities in
earthquake monitoring and research. Areas of focus identified by the group
included improved agency communication during earthquake response;
leveraging insights from the nuclear monitoring community in processing
array data for earthquake detection and association; use of machine
learning techniques to improve the reliability of source characterization;
compressing the timeline of rapid source characterization; and improving
our use of social media and crowd-sourced data. We solicit contributions
that further explore these and related issues. We seek to more clearly
identify priorities of future monitoring efforts, what new technologies can
improve the speed and accuracy of monitoring and how to improve
communication and coordination between groups involved in earthquake
response and research.
Conveners:
Gavin Hayes, U.S. Geological Survey (ghayes<at>usgs.gov);
Paul Earle, U.S. Geological Survey (pearle<at>usgs.gov);
Kristine Pankow, University of Utah (pankow<at>seis.utah.edu);
Alberto Michelini, Istituto Nazionale Geofisica e Vulcanologia (
alberto.michelini<at>ingv.it)
submitting an SSA abstract to the session...
*New Frontiers in Global Seismic Monitoring and Earthquake Research*
Driven by the societal expectation for timely, accurate information, the
past decade has seen dramatic improvements as a result of increased
computational efficiency, seismic data coverage and improved communication
technology. While aspects of earthquake research have taken advantage of
this evolution, the adoption of improvements in earthquake monitoring has
not been fully leveraged. In real-time monitoring, earthquakes are
characterized in a vacuum, without leveraging knowledge of past events. New
data types may help characterize earthquakes more quickly and accurately.
New opportunities exist for rapidly communicating information. With these
advances, global seismic monitoring can improve the quality and timeliness
of information shared with the public.
A U.S. Geological Survey Powell Center Working Group explored these issues
at a recent meeting, attempting to prioritize future opportunities in
earthquake monitoring and research. Areas of focus identified by the group
included improved agency communication during earthquake response;
leveraging insights from the nuclear monitoring community in processing
array data for earthquake detection and association; use of machine
learning techniques to improve the reliability of source characterization;
compressing the timeline of rapid source characterization; and improving
our use of social media and crowd-sourced data. We solicit contributions
that further explore these and related issues. We seek to more clearly
identify priorities of future monitoring efforts, what new technologies can
improve the speed and accuracy of monitoring and how to improve
communication and coordination between groups involved in earthquake
response and research.
Conveners:
Gavin Hayes, U.S. Geological Survey (ghayes<at>usgs.gov);
Paul Earle, U.S. Geological Survey (pearle<at>usgs.gov);
Kristine Pankow, University of Utah (pankow<at>seis.utah.edu);
Alberto Michelini, Istituto Nazionale Geofisica e Vulcanologia (
alberto.michelini<at>ingv.it)
