Peng, Zhigang
2020-01-06 19:42:02
Dear Colleagues,
We would like to invite you to submit an abstract to the following session of the 2020 Seismological Society of America (SSA) Annual Meeting (27–30 April, Albuquerque, New Mexico https://www.seismosoc.org/annual-meeting/). The abstract deadline is 14 January 2020 5 p.m PST. Thank you very much.
Session Title: Waveform Cross-Correlation-Based Methods in Observational Seismology
Description: Recent developments in observational seismology rely heavily on the mining of increasingly large datasets through waveform cross-correlation-based techniques to improve signal to noise ratios and extract useful information from continuous seismograms. These include obtaining accurate differential arrival times with waveform correlation analysis for accurate earthquake relocation and 3D seismic tomography, detecting low-magnitude events using array-based waveform matching, extracting empirical Green’s functions (e.g., surface and body waves) from cross-correlation of continuous ambient noise waveform and creating virtual sources or receivers from cross-correlating earthquake coda waveforms. In this session, we welcome both methodologically and observationally focused contributions that utilize correlation-based methods to detect repeating earthquakes near creeping faults and volcanoes, relocate microearthquakes and low-frequency earthquakes around seismically active regions and image subsurface structures and monitor their temporal changes with ambient noise and earthquake coda correlation techniques. We hope to provide a platform for discussing how to efficiently apply correlation-based methods to ultra-dense arrays and long-duration continuous waveforms to better extract useful seismic events and image subsurface structures.
Invited Speakers:
Alicia Hotovec-Ellis (U.S. Geological Survey, California Volcano Observatory)
Daniel Trugman (Los Alamos National Laboratory)
Conveners:
Esteban J. Chaves, Volcanological and Seismological Observatory of Costa Rica, Universidad Nacional (esteban.j.chaves<at>una.cr)
Marine Denolle, Harvard University (mdenolle<at>g.harvard.edu)
William Frank, University of Southern California (wbfrank<at>usc.edu)
Zhigang Peng, Georgia Institute of Technology (zpeng<at>gatech.edu)
Taka'aki Taira, University of California, Berkeley (taira<at>berkeley.edu)
Haijiang Zhang, University of Science and Technology of China (zhang11<at>ustc.edu.cn)
Zhigang Peng
--
Professor of Geophysics
School of Earth and Atmospheric Sciences
Georgia Institute of Technology
Address: ES&T Building, Rm. 2256
311 Ferst Drive, Atlanta, GA, 30332-0340
Office: 404-894-0231, Lab: 404-385-2050
Fax: 404-894-5638
Email: zpeng<at>gatech.edu<zpeng<at>gatech.edu>
Web: http://geophysics.eas.gatech.edu/people/zpeng
We would like to invite you to submit an abstract to the following session of the 2020 Seismological Society of America (SSA) Annual Meeting (27–30 April, Albuquerque, New Mexico https://www.seismosoc.org/annual-meeting/). The abstract deadline is 14 January 2020 5 p.m PST. Thank you very much.
Session Title: Waveform Cross-Correlation-Based Methods in Observational Seismology
Description: Recent developments in observational seismology rely heavily on the mining of increasingly large datasets through waveform cross-correlation-based techniques to improve signal to noise ratios and extract useful information from continuous seismograms. These include obtaining accurate differential arrival times with waveform correlation analysis for accurate earthquake relocation and 3D seismic tomography, detecting low-magnitude events using array-based waveform matching, extracting empirical Green’s functions (e.g., surface and body waves) from cross-correlation of continuous ambient noise waveform and creating virtual sources or receivers from cross-correlating earthquake coda waveforms. In this session, we welcome both methodologically and observationally focused contributions that utilize correlation-based methods to detect repeating earthquakes near creeping faults and volcanoes, relocate microearthquakes and low-frequency earthquakes around seismically active regions and image subsurface structures and monitor their temporal changes with ambient noise and earthquake coda correlation techniques. We hope to provide a platform for discussing how to efficiently apply correlation-based methods to ultra-dense arrays and long-duration continuous waveforms to better extract useful seismic events and image subsurface structures.
Invited Speakers:
Alicia Hotovec-Ellis (U.S. Geological Survey, California Volcano Observatory)
Daniel Trugman (Los Alamos National Laboratory)
Conveners:
Esteban J. Chaves, Volcanological and Seismological Observatory of Costa Rica, Universidad Nacional (esteban.j.chaves<at>una.cr)
Marine Denolle, Harvard University (mdenolle<at>g.harvard.edu)
William Frank, University of Southern California (wbfrank<at>usc.edu)
Zhigang Peng, Georgia Institute of Technology (zpeng<at>gatech.edu)
Taka'aki Taira, University of California, Berkeley (taira<at>berkeley.edu)
Haijiang Zhang, University of Science and Technology of China (zhang11<at>ustc.edu.cn)
Zhigang Peng
--
Professor of Geophysics
School of Earth and Atmospheric Sciences
Georgia Institute of Technology
Address: ES&T Building, Rm. 2256
311 Ferst Drive, Atlanta, GA, 30332-0340
Office: 404-894-0231, Lab: 404-385-2050
Fax: 404-894-5638
Email: zpeng<at>gatech.edu<zpeng<at>gatech.edu>
Web: http://geophysics.eas.gatech.edu/people/zpeng
