{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1362825894385987456.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1002/grl.50590"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgrl.50590"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/grl.50590"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/full-xml/10.1002/grl.50590"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/grl.50590"}}],"dc:title":[{"@value":"Rapid modeling of the 2011 Mw 9.0 Tohoku‐oki earthquake with seismogeodesy"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>Rapid characterization of finite fault geometry and slip for large earthquakes is important for mitigation of seismic and tsunamigenic hazards. Saturation of near‐source weak motion and problematic integration of strong‐motion data into displacements make this difficult in real time. Combining GPS and accelerometer data to estimate seismogeodetic displacement waveforms overcomes these limitations by providing mm‐level three‐dimensional accuracy and improved estimation of coseismic deformation compared to GPS‐only methods. We leverage collocated GPS and accelerometer data from the 2011 Mw 9.0 Tohoku‐oki, Japan earthquake by replaying them in simulated real‐time mode. Using a novel approach to account for fault finiteness, we generate an accurate centroid moment tensor solution independently of any constraint on the slab geometry followed by a finite fault slip model. The replay of GPS and seismic data demonstrates that robust models could have been made available within 3 min of earthquake initiation.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1382825894385987458","@type":"Researcher","foaf:name":[{"@value":"Diego Melgar"}],"jpcoar:affiliationName":[{"@value":"Cecil H. and Ida M. Green Institute of Geophysics and Planetary Physics Scripps Institution of Oceanography University of California, San Diego  La Jolla California USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894385987328","@type":"Researcher","foaf:name":[{"@value":"Brendan W. Crowell"}],"jpcoar:affiliationName":[{"@value":"Cecil H. and Ida M. Green Institute of Geophysics and Planetary Physics Scripps Institution of Oceanography University of California, San Diego  La Jolla California USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894385987456","@type":"Researcher","foaf:name":[{"@value":"Yehuda Bock"}],"jpcoar:affiliationName":[{"@value":"Cecil H. and Ida M. Green Institute of Geophysics and Planetary Physics Scripps Institution of Oceanography University of California, San Diego  La Jolla California USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1382825894385987457","@type":"Researcher","foaf:name":[{"@value":"Jennifer S. Haase"}],"jpcoar:affiliationName":[{"@value":"Cecil H. and Ida M. Green Institute of Geophysics and Planetary Physics Scripps Institution of Oceanography University of California, San Diego  La Jolla California USA"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"00948276"},{"@type":"EISSN","@value":"19448007"}],"prism:publicationName":[{"@value":"Geophysical Research Letters"}],"dc:publisher":[{"@value":"American Geophysical Union (AGU)"}],"prism:publicationDate":"2013-06-18","prism:volume":"40","prism:number":"12","prism:startingPage":"2963","prism:endingPage":"2968"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgrl.50590"},{"@id":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/grl.50590"},{"@id":"https://onlinelibrary.wiley.com/doi/full-xml/10.1002/grl.50590"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/grl.50590"}],"createdAt":"2013-05-27","modifiedAt":"2023-10-16","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050564285794630272","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"First result from the GEONET real-time analysis system (REGARD): the case of the 2016 Kumamoto earthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285705339442944","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Development and Assessment of Real-Time Fault Model Estimation Routines in the GEONET Real-Time Processing System"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282763022369664","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Role of Real-Time GNSS in Near-Field Tsunami Forecasting"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282763128053120","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Review on Near-Field Tsunami Forecasting from Offshore Tsunami Data and Onshore GNSS Data for Tsunami Early Warning"}]},{"@id":"https://cir.nii.ac.jp/crid/1390564237998440704","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Real-Time GNSS Analysis System REGARD: An Overview and Recent Results"}]},{"@id":"https://cir.nii.ac.jp/crid/2050307416982638848","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Spatial and temporal characteristics of optimum process noise values of tropospheric parameters for kinematic analysis of Global Navigation Satellite System (GNSS) sites in Japan"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1002/grl.50590"},{"@type":"CROSSREF","@value":"10.1186/s40623-016-0564-4_references_DOI_Cu3vkmPLk4PfKIQ48x3PsINHiQ7"},{"@type":"CROSSREF","@value":"10.1186/s40623-016-0578-y_references_DOI_Cu3vkmPLk4PfKIQ48x3PsINHiQ7"},{"@type":"CROSSREF","@value":"10.20965/jdr.2018.p0440_references_DOI_Cu3vkmPLk4PfKIQ48x3PsINHiQ7"},{"@type":"CROSSREF","@value":"10.20965/jdr.2014.p0339_references_DOI_Cu3vkmPLk4PfKIQ48x3PsINHiQ7"},{"@type":"CROSSREF","@value":"10.1007/1345_2015_49_references_DOI_Cu3vkmPLk4PfKIQ48x3PsINHiQ7"},{"@type":"CROSSREF","@value":"10.20965/jdr.2018.p0453_references_DOI_Cu3vkmPLk4PfKIQ48x3PsINHiQ7"}]}