The Earthquake-Source Inversion Validation (SIV) Project

TitleThe Earthquake-Source Inversion Validation (SIV) Project
Publication TypeJournal Article
Year of Publication2016
AuthorsMai P.M, Schorlemmer D., Page M., Ampuero J.P, Asano K., Causse M., Custodio S., Fan W.Y, Festa G., Galis M., Gallovic F., Imperatori W., Kaser M., Malytskyy D., Okuwaki R., Pollitz F., Passone L., Razafindrakoto H.NT, Sekiguchi H., Song S.G, Somala S.N, Thingbaijam K.KS, Twardzik C., van Driel M., Vyas J.C, Wang R.J, Yagi Y., Zielke O.
JournalSeismological Research Letters
Volume87
Pagination690-708
Date Published2016/05
Type of ArticleArticle
ISBN Number0895-0695
Accession NumberWOS:000375047900014
Keywords1979; 1989 loma-prieta; 2011; 3-dimensional greens-functions; discontinuous galerkin method; fault-rupture models; imperial-valley; inversions; joint inversion; slip; strong ground motion; strong-motion data; tohoku earthquake
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.

DOI10.1785/0220150231
Student Publication: 
No