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The Earthquake-Source Inversion Validation (SIV) Project

Mai, P. Martin and Page, Morgan and Ampuero, Jean-Paul (2016) The Earthquake-Source Inversion Validation (SIV) Project. Seismological Research Letters, 87 (3). pp. 690-708. ISSN 0895-0695. http://resolver.caltech.edu/CaltechAUTHORS:20160413-085241351

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Abstract

Finite-fault earthquake source inversions infer the (time-dependent) displacement on the rupture surface from geophysical data. The resulting earthquake source models document the complexity of the rupture process. However, multiple source models for the same earthquake, obtained by different research teams, often exhibit remarkable dissimilarities. To address the uncertainties in earthquake-source inversion methods and to understand strengths and weaknesses of the various approaches used, the Source Inversion Validation (SIV) project conducts a set of forward-modeling exercises and inversion benchmarks. In this article, we describe the SIV strategy, the initial benchmarks, and current SIV results. Furthermore, we apply statistical tools for quantitative waveform comparison and for investigating source-model (dis)similarities that enable us to rank the solutions, and to identify particularly promising source inversion approaches. All SIV exercises (with related data and descriptions) and statistical comparison tools are available via an online collaboration platform, and we encourage source modelers to use the SIV benchmarks for developing and testing new methods. We envision that the SIV efforts will lead to new developments for tackling the earthquake-source imaging problem.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1785/0220150231DOIArticle
http://srl.geoscienceworld.org/content/87/3/690PublisherArticle
http://www.seismosoc.org/Publications/SRL/SRL_87/srl_87-3_mai_et_al-esupp/PublisherElectronic Supplement
ORCID:
AuthorORCID
Ampuero, Jean-Paul0000-0002-4827-7987
Additional Information:© 2016 Seismological Society of America. Published Online 6 April 2016. We thank Juerg Hauser for developing the initial Source Inversion Validation (SIV) benchmark platform. Constructive criticism by and inspiring discussion with Ralph Archuleta, Greg Beroza, Bill Ellsworth, Chen Ji, Ruth Harris, Thorne Lay, Lingsen Meng, Peter Shearer, and others helped to steer the SIV initiative. Constructive criticism by three anonymous reviewers helped to improve the manuscript. We are grateful to the SRL editorial staff for their support and guidance. This research was supported by the Southern California Earthquake Center (Contribution Number 6159). Southern California Earthquake Center (SCEC) is funded by National Science Foundation (NSF) Cooperative Agreement EAR‐1033462 and U.S. Geological Survey (USGS) Cooperative Agreement G12AC20038. F. G. was supported by the Czech Science Foundation project 14‐04372S. This study is also funded by King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. Earthquake‐rupture simulations were carried out using the KAUST Supercomputing Laboratory (KSL), and we acknowledge support by KSL staff.
Group:Seismological Laboratory
Funders:
Funding AgencyGrant Number
Southern California Earthquake Center (SCEC)UNSPECIFIED
NSFEAR-1033462
USGSG12AC20038
Czech Science Foundation14-04372S
King Abdullah University of Science and Technology (KAUST)UNSPECIFIED
Record Number:CaltechAUTHORS:20160413-085241351
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20160413-085241351
Official Citation:The Earthquake‐Source Inversion Validation (SIV) Project P. Martin Mai, Danijel Schorlemmer, Morgan Page, Jean‐Paul Ampuero, Kimiyuki Asano, Mathieu Causse, Susana Custodio, Wenyuan Fan, Gaetano Festa, Martin Galis, Frantisek Gallovic, Walter Imperatori, Martin Käser, Dmytro Malytskyy, Ryo Okuwaki, Fred Pollitz, Luca Passone, Hoby N. T. Razafindrakoto, Haruko Sekiguchi, Seok Goo Song, Surendra N. Somala, Kiran K. S. Thingbaijam, Cedric Twardzik, Martin van Driel, Jagdish C. Vyas, Rongjiang Wang, Yuji Yagi, Olaf Zielke Seismological Research Letters May 2016, 87 (3) 690-708; DOI: 10.1785/0220150231
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:66101
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Apr 2016 17:08
Last Modified:27 May 2016 17:35

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