2004
DOI: 10.1029/2004gl021457
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Modeling the rupture process of the 2003 September 25 Tokachi‐Oki (Hokkaido) earthquake using 1‐Hz GPS data

Abstract: [1] High-rate GPS has the potential to recover both dynamic and static displacements accurately. We analyze 1-Hz GPS data recorded during the 2003 Tokachi-Oki earthquake. The 1-Hz GPS displacement waveforms show good agreement with integrated accelerometer records except for low frequency noise that are inherently present in integrated seismic records. The GPS waveforms were inverted to model the spatio-temporal evolution of the fault slip during the rupture. The slip is found to propagate downdip in the subdu… Show more

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Cited by 117 publications
(75 citation statements)
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“…Hence, in order to estimate more accurate distributions of the subsurface dislocations, it is important to use the GF's calculated with realistic subsurface structures with adequate material properties such as the Young's modulus and Poisson's ratio, instead of those for the homogeneous elastic half space mostly used so far. For instance, as mentioned in the first section, there have already been some inversion studies in which the distribution of coseismic slip or afterslip associated with the 2003 Tokachi-oki (Hokkaido, northeastern Japan) earthquake (M 8.0) was derived from the displacements at many sites of GEONET in Hokkaido and northern Tohoku which are the same regions as those modeled in this work (e.g., Miyazaki et al, 2004aMiyazaki et al, , 2004bMiura et al, 2004;Ozawa et al, 2004) or from the landbased GEONET data together with those by ocean-bottom pressure gauges (Baba et al, 2006). However, most of these studies used the GF's for the surface displacements calculated with the assumptions of homogeneous elastic half space.…”
Section: Discussionmentioning
confidence: 77%
“…Hence, in order to estimate more accurate distributions of the subsurface dislocations, it is important to use the GF's calculated with realistic subsurface structures with adequate material properties such as the Young's modulus and Poisson's ratio, instead of those for the homogeneous elastic half space mostly used so far. For instance, as mentioned in the first section, there have already been some inversion studies in which the distribution of coseismic slip or afterslip associated with the 2003 Tokachi-oki (Hokkaido, northeastern Japan) earthquake (M 8.0) was derived from the displacements at many sites of GEONET in Hokkaido and northern Tohoku which are the same regions as those modeled in this work (e.g., Miyazaki et al, 2004aMiyazaki et al, , 2004bMiura et al, 2004;Ozawa et al, 2004) or from the landbased GEONET data together with those by ocean-bottom pressure gauges (Baba et al, 2006). However, most of these studies used the GF's for the surface displacements calculated with the assumptions of homogeneous elastic half space.…”
Section: Discussionmentioning
confidence: 77%
“…Broadband seismometers, however, are not sensitive enough to detect these ultra-long-period slow slips. Larson et al (2003) found good agreement between strong ground-motion records integrated to displacement and 1-Hz Global Positioning System (GPS) position estimates collected more than several hundred kilometers from the 2002 Denali earthquake epicenter. They also suggested that such observations are key for studying the rupture directivity and dynamic earthquake source processes.…”
Section: Introductionmentioning
confidence: 79%
“…They also suggested that such observations are key for studying the rupture directivity and dynamic earthquake source processes. Miyazaki et al (2004) investigated rupture process of 2003 Tokachi-Oki (Hokkaido) earthquake based on high-date kinematic GPS results. They suggested that high-rate GPS is more sensitive to cumulative slip distribution.…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, white noise position estimation has been used extensively to measure seismic waves, e.g. Larson et al (2003) and Miyazaki et al (2004b). Unfortunately, the trade-off one makes by using white noise estimation is that very large geometric/multipath signals are still present in the time series.…”
Section: Kalman Filteringmentioning
confidence: 99%