1. The earthquake-source inversion Validation (SIV) project
- Author
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Wenyuan Fan, Haruko Sekiguchi, Luca Passone, Jagdish Chandra Vyas, Cedric Twardzik, Martin Käser, K. K. S. Thingbaijam, Mathieu Causse, Fred F. Pollitz, Martin Galis, Gaetano Festa, Jean-Paul Ampuero, Martin van Driel, Walter Imperatori, Danijel Schorlemmer, Dmytro Malytskyy, Olaf Zielke, Surendra Nadh Somala, Seok Goo Song, Kimiyuki Asano, Yuji Yagi, Morgan T. Page, Ryo Okuwaki, František Gallovič, Hoby N. T. Razafindrakoto, Rongjiang Wang, P. Martin Mai, Susana Custódio, Mai, P. Martin, Schorlemmer, Danijel, Page, Morgan, Ampuero, Jean Paul, Asano, Kimiyuki, Causse, Mathieu, Custodio, Susana, Fan, Wenyuan, Festa, Gaetano, Galis, Martin, Gallovic, Frantisek, Imperatori, Walter, Käser, Martin, Malytskyy, Dmytro, Okuwaki, Ryo, Pollitz, Fred, Passone, Luca, Razafindrakoto, Hoby N. T., 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, GeoForschungsZentrum - Helmholtz-Zentrum Potsdam (GFZ), Institut des Sciences de la Terre (ISTerre), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Département Géotechnique, Environnement, Risques naturels et Sciences de la terre (IFSTTAR/GERS), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université de Lyon-PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Paris-Est-PRES Université de Grenoble, Institut de Physique du Globe de Paris (IPGP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), Faculty of Mathematics, Physics and Informatics [Bratislava] (FMPH/UNIBA), Comenius University in Bratislava, Department für Geo-und Umweltwissenschaften [München], Ludwig-Maximilians-Universität München (LMU), US Geological Survey [Menlo Park], United States Geological Survey [Reston] (USGS), Disaster Prevention Research Institute (DPRI), Kyoto University [Kyoto], and German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ)
- Subjects
Engineering ,010504 meteorology & atmospheric sciences ,Inversion methods ,[SDU.STU]Sciences of the Universe [physics]/Earth Sciences ,Imaging problem ,010502 geochemistry & geophysics ,Source inversion ,computer.software_genre ,01 natural sciences ,Slip-rate function ,Soil structure interaction ,ComputingMilieux_MISCELLANEOUS ,0105 earth and related environmental sciences ,Collaborative software ,Sourcereceiver geometrie ,business.industry ,Inversion (meteorology) ,Multiple source ,Quantitative waveform comparisons. tables of scalar source parameters and dissimilarity value ,Geophysics ,Input and inverted rupture model ,Figures of velocity-density structure ,Data mining ,Artificial intelligence ,business ,computer ,Strengths and weaknesses - 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.
- Published
- 2016