IRIS Seismology Webinar: Body-wave seismic interferometry - Data mining from distant seismicity
From: Andy Frassetto <andyf@xxxxxxxx>
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The next IRIS/EarthScope Transportable Array sponsored webinar will present "Body-wave seismic interferometry - Data mining from distant seismicity" on Thursday, March 28 2013 from 2:30-3:30 pm EDT.
Register to attend, here: https://www2.gotomeeting.com/register/237576922. You will then receive a confirmation email containing information about joining the webinar. The presentation and subsequent Q&A session with the speaker will be recorded and available for viewing within a few days. More information on IRIS webinars, including links to previously recorded presentations and related materials, may be found here: http://www.iris.edu/hq/webinar/
Presenter: Dr. Elmer Ruigrok, Delft University of Technology
With the near completion of the contiguous USArray, a rich dataset is becoming available to image a large part of the North American continent in 3D. The seismic-receiver distribution is excellent for deep reflection imaging. However, the biased distribution of nearby seismicity prevents a straightforward application. Instead, distant seismicity can be used together with body-wave seismic interferometry. With seismic interferometry, reflections are extracted from the reverberations in transmission responses. This allows the creation of reflection responses as if there were large seismic sources at the positions of the USArray stations. The extracted reflections can be further processed into sharp reflectivity images.
In this presentation, we explain the basics of body-wave seismic interferometry. Using data from several arrays around the world, we give examples of field applications on global and lithospheric scale. The application of body-wave seismic interferometry to USArray data is still in its infancy. Yet, we will show recent progress and a possible way forward.
You may contact Andy Frassetto (andyf@xxxxxxxx) with any related inquiries.
System Requirements
PC-based attendees
Required: Windows® 7, 8, Vista, XP or 2003 Server
Macintosh®-based attendees
Required: Mac OS® X 10.5 or newer
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