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Multiple SSA 2020 Session Announcements

Date: 01/10/2020

Dear SCEC Community,

Please see below for the following SSA 2020 session announcements:

1. Early Results from the 2020 M6.4 Indios, Puerto Rico Earthquake Sequence:
2. What Can We Infer About the Earthquake Source Through Analyses of Strong Ground Motion?
3. Waveform Cross-Correlation-Based Methods in Observational Seismology


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1. Early Results from the 2020 M6.4 Indios, Puerto Rico Earthquake Sequence:

Session Chairs: Daniel McNamara, Elizabeth Vanacore, Alberto Lopez and Emily Wolin

On January 7, 2020 a magnitude 6.4 earthquake occurred 8 km south of Indios, Puerto Rico. This earthquake is part of an ongoing sequence that started on Dec 28, 2019. The sequence includes 11 foreshocks M 4.0 and larger and numerous M 4-5 aftershocks. In the days following the mainshock, seismologists, geologists and engineers mobilized to gather data on the rapidly evolving earthquake sequence. In this session, we hope to bring together experts to discuss early results from the field. We especially encourage presentation of new results that contribute to improved understanding of the hazard posed by the poorly known and potentially tsunamigenic Muertos Trough subduction zone. Potential topics include: 1) high-quality earthquake catalogs, 2) region specific ground motion models, 3) local site amplification, 4) ground failure observations, 5) structural damage observations, 6) fault slip rates and 7) novel and creative methods and parameters that contribute to advancing probabilistic seismic hazard models for Puerto Rico.

Extended deadline for abstracts to this session: 21 January 2020
Deadline for all other abstracts: 14 January 2020 at 5 p.m. Pacific.

Submit your abstract here: seismosoc.org/meetings/submission-system

2. What Can We Infer About the Earthquake Source Through Analyses of Strong Ground Motion?:

Because the earthquake source cannot be directly observed, we rely on multiple analyses to infer knowledge of the parameters used to describe an earthquake. In this session we would invite presentations that describe methods and results for inferring the properties of the earthquake source, such as, rupture velocity, fracture energy, stress drop (stress parameter), slip-rate functions, critical slip weakening distance, friction, scaling laws, duration, moment rate, spatial heterogeneity, directivity, etc. We encourage presentations that discuss uncertainties in the inferred parameters. We look forward to presentations that link earthquake simulations, both kinematic and dynamic, to generation of near-source ground motions. In particular, analysis of near-source data sets using inversion, arrays or other novel methods are most welcome.

The deadline to submit an abstract is January 14, 2020.
Full meeting information: www.seismosoc.org/annual-meeting/
To submit your abstracts: www.seismosoc.org/meetings/submission-system/

Ralph J. Archuleta, University of California, Santa Barbara (ralph.archuleta@ucsb.edu)
Greg Beroza, Stanford University (beroza@stanford.edu)
Massimo Cocco, Istituto Nazionale di Geofisica e Vulcanologia (massimo.cocco@ingv.it)
Joe Fletcher, U.S. Geological Survey (jfletcher@usgs.gov)

3. Waveform Cross-Correlation-Based Methods in Observational Seismology:

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)

Esteban J. Chaves, Volcanological and Seismological Observatory of Costa Rica, Universidad Nacional (esteban.j.chaves@una.cr)
Marine Denolle, Harvard University (mdenolle@fas.harvard.edu)
William Frank, University of Southern California (wbfrank@usc.edu)
Zhigang Peng, Georgia Institute of Technology (zpeng@gatech.edu)
Taka'aki Taira, University of California, Berkeley (taira@berkeley.edu)
Haijiang Zhang, University of Science and Technology of China (zhang11@ustc.edu.cn)


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