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Published May 2016 | Published
Journal Article Open

Standards for Documenting Finite-Fault Earthquake Rupture Models

Abstract

In this article, we propose standards for documenting and disseminating finite‐fault earthquake rupture models, and related data and metadata. A comprehensive documentation of the rupture models, a detailed description of the data processing steps, and facilitating the access to the actual data that went into the earthquake source inversion are required to promote follow‐up research and to ensure interoperability, transparency, and reproducibility of the published slip‐inversion solutions. We suggest a formatting scheme that describes the kinematic rupture process in an unambiguous way to support subsequent research. We also provide guidelines on how to document the data, metadata, and data processing. The proposed standards and formats represent a first step to establishing best practices for comprehensively documenting input and output of finite‐fault earthquake source studies.

Additional Information

© 2016 Seismological Society of America. Published Online 6 April 2016. We are grateful to Rob Graves (U.S. Geological Survey [USGS]) for supporting our efforts by making his standard-rupture-format (.srf ) openly available. Comments by M. van Driel, F. Pollitz, R. Okuwaki, Y. Yagi, and O. Zielke helped to refine and clarify the formatting requirements when using the .srf convention for computing synthetic seismograms at teleseismic distances. S. Jónsson helped to define Interferometric Synthetic Aperture Radar (InSAR) data requirements. We thank the two reviewers, J. Murray and T. Iwata, for their valuable comments and constructive criticism. Their feedback helped to improve not only the manuscript, but also the proposed data and metadata documentation. This research was supported by the Southern California Earthquake Center (SCEC). SCEC is funded by National Science Foundation (NSF) Cooperative Agreement EAR-1033462 and USGS Cooperative Agreement G12AC20038. The SCEC Contribution Number for this article is 2107. The research presented in this article is supported by the Division of Physical Sciences and Engineering, King Abdullah University of Science and Technology (KAUST).

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August 20, 2023
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