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The earthquake-source inversion Validation (SIV) project
- Source :
- Seismological Research Letters, Seismological Research Letters, Seismological Society of America, 2016, 87 (3), pp.690-708. ⟨10.1785/0220150231⟩
- Publication Year :
- 2016
-
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.
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 08950695
- Database :
- OpenAIRE
- Journal :
- Seismological Research Letters, Seismological Research Letters, Seismological Society of America, 2016, 87 (3), pp.690-708. ⟨10.1785/0220150231⟩
- Accession number :
- edsair.doi.dedup.....7df3a215d4365d355cf3ca10030975af