The Earthquake‐Source Inversion Validation (SIV) Project

Handle URI:
http://hdl.handle.net/10754/621585
Title:
The Earthquake‐Source Inversion Validation (SIV) Project
Authors:
Mai, Paul Martin ( 0000-0002-9744-4964 ) ; Schorlemmer, Danijel; Page, Morgan; Ampuero, Jean‐Paul; Asano, Kimiyuki; Causse, Mathieu; Custodio, Susana; Fan, Wenyuan; Festa, Gaetano; Galis, Martin ( 0000-0002-5375-7061 ) ; Gallovic, Frantisek; Imperatori, Walter; Käser, Martin; Malytskyy, Dmytro; Okuwaki, Ryo; Pollitz, Fred; Passone, Luca; Razafindrakoto, Hoby ( 0000-0002-7717-280X ) ; Sekiguchi, Haruko; Song, Seok Goo; Somala, Surendra N.; Thingbaijam, Kiran K. S.; Twardzik, Cedric; van Driel, Martin; Vyas, Jagdish C.; Wang, Rongjiang; Yagi, Yuji; Zielke, Olaf ( 0000-0002-4797-0034 )
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Mai PM, Schorlemmer D, Page M, Ampuero J, Asano K, et al. (2016) The Earthquake‐Source Inversion Validation (SIV) Project. Seismological Research Letters 87: 690–708. Available: http://dx.doi.org/10.1785/0220150231.
Publisher:
Seismological Society of America (SSA)
Journal:
Seismological Research Letters
Issue Date:
27-Apr-2016
DOI:
10.1785/0220150231
Type:
Article
ISSN:
0895-0695; 1938-2057
Sponsors:
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.
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorMai, Paul Martinen
dc.contributor.authorSchorlemmer, Danijelen
dc.contributor.authorPage, Morganen
dc.contributor.authorAmpuero, Jean‐Paulen
dc.contributor.authorAsano, Kimiyukien
dc.contributor.authorCausse, Mathieuen
dc.contributor.authorCustodio, Susanaen
dc.contributor.authorFan, Wenyuanen
dc.contributor.authorFesta, Gaetanoen
dc.contributor.authorGalis, Martinen
dc.contributor.authorGallovic, Frantiseken
dc.contributor.authorImperatori, Walteren
dc.contributor.authorKäser, Martinen
dc.contributor.authorMalytskyy, Dmytroen
dc.contributor.authorOkuwaki, Ryoen
dc.contributor.authorPollitz, Freden
dc.contributor.authorPassone, Lucaen
dc.contributor.authorRazafindrakoto, Hobyen
dc.contributor.authorSekiguchi, Harukoen
dc.contributor.authorSong, Seok Gooen
dc.contributor.authorSomala, Surendra N.en
dc.contributor.authorThingbaijam, Kiran K. S.en
dc.contributor.authorTwardzik, Cedricen
dc.contributor.authorvan Driel, Martinen
dc.contributor.authorVyas, Jagdish C.en
dc.contributor.authorWang, Rongjiangen
dc.contributor.authorYagi, Yujien
dc.contributor.authorZielke, Olafen
dc.date.accessioned2016-11-03T08:32:41Z-
dc.date.available2016-11-03T08:32:41Z-
dc.date.issued2016-04-27en
dc.identifier.citationMai PM, Schorlemmer D, Page M, Ampuero J, Asano K, et al. (2016) The Earthquake‐Source Inversion Validation (SIV) Project. Seismological Research Letters 87: 690–708. Available: http://dx.doi.org/10.1785/0220150231.en
dc.identifier.issn0895-0695en
dc.identifier.issn1938-2057en
dc.identifier.doi10.1785/0220150231en
dc.identifier.urihttp://hdl.handle.net/10754/621585-
dc.description.abstractFinite-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.en
dc.description.sponsorshipWe 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.en
dc.publisherSeismological Society of America (SSA)en
dc.subjectFigures of velocity-density structureen
dc.titleThe Earthquake‐Source Inversion Validation (SIV) Projecten
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalSeismological Research Lettersen
dc.contributor.institutionGeo-Forschungszentrum Potsdam, GFZ Telegrafenberg, Potsdam, Germanyen
dc.contributor.institutionU.S. Geological Survey, 525 South Wilson Avenue, Pasadena, CA, United Statesen
dc.contributor.institutionCalifornia Institute of Technology, Seismological Laboratory, MC 252-21, 1200 East California Boulevard, Pasadena, CA, United Statesen
dc.contributor.institutionDisaster Prevention Research Institute, Kyoto University, Gokasho, Uji Kyoto, Japanen
dc.contributor.institutionISTerre, Universite Grenoble Alpes, IFSTTAR, CNRS CS 40700, Grenoble Cedex 9, Franceen
dc.contributor.institutionInstituto Dom Luiz, Faculdade de Cièncias, Universidade de Lisboa, Lisboa, Portugalen
dc.contributor.institutionUniversity of California, San Diego, Scripps Institution of Oceanography, IGPP 0225, San Diego, CA, United Statesen
dc.contributor.institutionDepartment of Physics, Università di Napoli Federico II, Naples, Italyen
dc.contributor.institutionCharles University in Prague, Faculty of Mathematics and Physics, Department of Geophysics, V Holešoviškách 2, Praha 8, Czech Republicen
dc.contributor.institutionDepartment of Earth Sciences, ETH Zürich, Sonneggstrasse 5, Zurich, Switzerlanden
dc.contributor.institutionDepartment of Earth and Environmental Sciences, Ludwig-Maximilian University, Theresienstr. 41, Munich, Germanyen
dc.contributor.institutionCarpathian Branch of Subbotin, Institute of Geophysics, National Academy of Sciences of Ukraine, Lviv, Ukraineen
dc.contributor.institutionFaculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba Ibaraki, Japanen
dc.contributor.institutionEarthquake Science Center, U.S. Geological Survey, MS 977, 345 Middlefield Rd., Menlo Park, CA, United Statesen
dc.contributor.institutionDepartment of Civil and Natural Resources Engineering, University of Canterbury, Christchurch, New Zealanden
dc.contributor.institutionEarthquake Research Center, Korea Institute of Geoscience and Mineral Resources (KI-GAM), 124 Gwahang-no, Yuseong-gu Daejeon, South Koreaen
dc.contributor.institutionDepartment of Civil Engineering, Indian Institute of Technology (IIT) Hyderabad, Hyderabad, Indiaen
dc.contributor.institutionDepartment of Earth Science, 1006 Webb Hall, University of California, Santa Barbara, Santa Barbara, CA, United Statesen
kaust.authorMai, Paul Martinen
kaust.authorGalis, Martinen
kaust.authorImperatori, Walteren
kaust.authorPassone, Lucaen
kaust.authorRazafindrakoto, Hobyen
kaust.authorThingbaijam, Kiran K. S.en
kaust.authorVyas, Jagdish C.en
kaust.authorZielke, Olafen
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