2019
DOI: 10.1007/s00024-019-02252-x
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Automated GNSS and Teleseismic Earthquake Inversion (AutoQuake Inversion) for Tsunami Early Warning: Retrospective and Real-Time Results

Abstract: Rapid finite fault source determination is critical for reliable and robust tsunami early warnings. Near-field Global Navigation Satellite System (GNSS) observations have shown value to constrain the source inversion, but real-time GNSS stations are sparse along most of the active faults. Here we propose an automatic earthquake finite source inversion (AutoQuake Inversion) algorithm jointly using near-field (epicentral distance \ 1000 km) GNSS data and mid-range (epicentral distance from 30°to 45°) teleseismic… Show more

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Cited by 20 publications
(11 citation statements)
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References 74 publications
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“…Over time, GNSS networks were upgraded with higher sample rate receivers and robust telemetry, allowing a faster computation of the earthquake magnitude using peak ground displacement scaling and earthquake source characteristics, such as focal mechanism and slip distribution, with a centroid moment tensor-driven finite fault inversion utilizing coseismic offsets. Connecting such rapid source models to tsunami codes could allow producing a local forecast in the first 3-5 min after an earthquake (e.g., Crowell et al 2018;Kawamoto et al 2019;Chen et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Over time, GNSS networks were upgraded with higher sample rate receivers and robust telemetry, allowing a faster computation of the earthquake magnitude using peak ground displacement scaling and earthquake source characteristics, such as focal mechanism and slip distribution, with a centroid moment tensor-driven finite fault inversion utilizing coseismic offsets. Connecting such rapid source models to tsunami codes could allow producing a local forecast in the first 3-5 min after an earthquake (e.g., Crowell et al 2018;Kawamoto et al 2019;Chen et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Over time, GNSS networks were upgraded with higher sample rate receivers and robust telemetry, allowing a faster computation of the earthquake magnitude using peak ground displacement scaling and earthquake source characteristics, such as focal mechanism and slip distribution, with a centroid moment tensor driven finite fault inversion utilizing coseismic offsets. Connecting such rapid source models to tsunami codes could allow producing a local forecast in the first 3-5 minutes after an earthquake (e.g., Crowell, et al, 2018;Kawamoto et al, 2019;Chen et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Relative positioning (RP) and precise point positioning (PPP) are mainly adopted to retrieve coseismic displacements [ 10 ]. RP technique is able to achieve 1–2 cm positioning accuracy and it is widely applied to record strong ground motion for further centroid moment tensor determination [ 11 ], fault model estimation [ 12 ] and early warning [ 13 , 14 , 15 ]. However, it only derives relative coseismic displacements with respect to a reference station, which might be subject to quaking during a large seismic event.…”
Section: Introductionmentioning
confidence: 99%