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dc.contributor.authorOhtani, Ryu  Concept link
dc.contributor.authorMcGuire, Jeffrey J.  Concept link
dc.contributor.authorSegall, Paul  Concept link
dc.date.accessioned2011-01-31T19:28:00Z
dc.date.available2011-06-22T08:25:20Z
dc.date.issued2010-12-22
dc.identifier.citationJournal of Geophysical Research 115 (2010): B12418en_US
dc.identifier.urihttps://hdl.handle.net/1912/4324
dc.descriptionAuthor Posting. © American Geophysical Union, 2010. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 115 (2010): B12418, doi:10.1029/2010JB007442.en_US
dc.description.abstractWe have developed a tool to detect transient deformation signals from large-scale (principally GPS) geodetic arrays, referred to as a Network Strain Filter (NSF). The strategy is to extract spatially and temporally coherent signals by analyzing data from entire geodetic networks simultaneously. The NSF models GPS displacement time series as a sum of contributions from secular motion, transient displacements, site-specific local benchmark motion, reference frame errors, and white noise. Transient displacements are represented by a spatial wavelet basis with temporally varying coefficients that are estimated with a Kalman filter. A temporal smoothing parameter is also estimated online by the filter. The problem is regularized in the spatial domain by minimizing a smoothing (Laplacian) norm of the transient strain rate field. To test the performance of the NSF, we carried out numerical tests using the Southern California Integrated GPS Network station distribution and a 3 year long synthetic transient in a 6 year time series. We demonstrate that the NSF can identify the transient signal, even when the colored noise amplitude is comparable to that of transient signal. Application of the method to actual GPS data from the Japanese GPS network (GEONET) on the Boso Peninsula also shows that the NSF can detect transient motions resulting from aseismic fault slip.en_US
dc.description.sponsorshipWe thank the Grant‐in‐Aid for Young Scientists [KAKENHI(18740283)] of the Ministry of Education, Culture, Sports, Science and Technology of Japan and the postdoctoral fellowships for research abroad of the Japan Society for the Promotion of Science. We also acknowledge support from NASA grant NNG04GC93G. This research was supported by the Southern California Earthquake Center. SCEC is funded by NSF Cooperative Agreement EAR‐0529922 and USGS Cooperative Agreement 07HQAG0008.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherAmerican Geophysical Unionen_US
dc.relation.urihttps://doi.org/10.1029/2010JB007442
dc.subjectStrain transientsen_US
dc.titleNetwork strain filter : a new tool for monitoring and detecting transient deformation signals in GPS arraysen_US
dc.typeArticleen_US
dc.identifier.doi10.1029/2010JB007442


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