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A New Ground Truth Data Set For Seismic Studies
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2009
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EngineeringSeismic WaveEarthquake HazardsEarth ScienceGeophysicsSeismic StudiesEarthquake SourceJoint Source LocationGround MotionEarthquake EngineeringInduced SeismicitySeismic ImagingBenchmark NetworkSource LocationTectonicsSeismologySeismic Reflection ProfilingCivil EngineeringEarth SciencesSeismic Hazard
Research Article| May 01, 2009 A New Ground Truth Data Set For Seismic Studies I. Bondár; I. Bondár International Seismological Centre Pipers Lane, Thatcham Berkshire RG19 4NS United Kingdom istvan@isc.ac.uk (I. B.) Search for other works by this author on: GSW Google Scholar K. L. McLaughlin K. L. McLaughlin Search for other works by this author on: GSW Google Scholar Seismological Research Letters (2009) 80 (3): 465–472. https://doi.org/10.1785/gssrl.80.3.465 Article history first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation I. Bondár, K. L. McLaughlin; A New Ground Truth Data Set For Seismic Studies. Seismological Research Letters 2009;; 80 (3): 465–472. doi: https://doi.org/10.1785/gssrl.80.3.465 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search Ground truth seismic sources and receivers are the seismologist's equivalent of the geodesist's "benchmark." Geodesists measure distances between benchmarks on the surface of the Earth to infer the Earth's shape. Seismologists measure seismic travel-times between sources and receivers to image the Earth's interior velocities. However, unlike geodesists who precisely locate both ends of their benchmark network in a well-defined coordinate system, seismologists rarely know the precise location (or origin time) of their source "benchmark." Consequently, source location biases fold into tomographic images of the Earth's interior. Joint source location and velocity inversion mitigates but does not remove these fundamental biases... You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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