Thread: AGU session S022. New Advances in Automatic Detection, Location and Characterization of Seismic Events

Started: 2017-07-10 16:46:03
Last activity: 2017-07-10 16:46:03
Topics: AGU Meetings
Dear Colleagues,

We wish to draw your attention to the following 2017 Fall AGU session.

Please forward this information to colleagues who may be interested in contributing to this session.

The abstract deadline is 2 August 2017.

Session S022.
*New Advances in Automatic Detection, Location and Characterization of Seismic Events***


The number of seismic instruments being installed around the world has grown exponentially in the last two decades.

The recorded data should provide much more detailed information about seismically active regions but only if seismic events can be accurately detected,

located and their sources identified.

The large amount of data collected daily by seismic networks precludes human analysts to manually process these waveforms routinely.

The constant improvement in computational capacities requests the design of new approaches to process continuous waveform data automatically.

Apart from a significant reduction in processing time, automatic analysis ensures consistency and reliability of the analysis over time.

This session’s aim is to bring to light new methods that can be applied to large datasets, either retro-actively or in near-real time,

to automatically detect, locate and characterize tectonic and non-tectonic seismic events.

We encourage contributions that demonstrate how the proposed methods help improve our understanding of seismic processes.


Christian Baillard, School of Oceanography, Seattle

Clément Hibert, IPGS, University of Strasbourg

Felix Waldhauser, Lamont-Doherty Earth Observatory, New York

Alessia Maggi, IPGP, University of Strasbourg

Web link:_

Best wishes,

Christian, Clément, Felix & Alessia

*Dr. Christian Baillard*
/Research Assistant in Seismology/
School of Oceanography | University of Washington
206-685-9250 | _baillard<at>uw.edu_

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