{"@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/1363670320078719616.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1029/2018gc007585"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2018GC007585"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018GC007585"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/full-xml/10.1029/2018GC007585"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018GC007585"}}],"dc:title":[{"@value":"Inversion of Surface Deformation Data for Rapid Estimates of Source Parameters and Uncertainties: A Bayesian Approach"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>New satellite missions (e.g., the European Space Agency's Sentinel‐1 constellation), advances in data downlinking, and rapid product generation now provide us with the ability to access space‐geodetic data within hours of their acquisition. To truly take advantage of this opportunity, we need to be able to interpret geodetic data in a prompt and robust manner. Here we present a Bayesian approach for the inversion of multiple geodetic data sets that allows a rapid characterization of posterior probability density functions (PDFs) of source model parameters. The inversion algorithm efficiently samples posterior PDFs through a Markov chain Monte Carlo method, incorporating the Metropolis‐Hastings algorithm, with automatic step size selection. We apply our approach to synthetic geodetic data simulating deformation of magmatic origin and demonstrate its ability to retrieve known source parameters. We also apply the inversion algorithm to interferometric synthetic aperture radar data measuring co‐seismic displacements for a thrust‐faulting earthquake (2015 <jats:italic>M</jats:italic><jats:sub><jats:italic>w</jats:italic></jats:sub> 6.4 Pishan earthquake, China) and retrieve optimal source parameters and associated uncertainties. Given its robustness and rapidity in estimating deformation source parameters and uncertainties, our Bayesian framework is capable of taking advantage of real‐time geodetic measurements. Thus, our approach can be applied to geodetic data to study magmatic, tectonic, and other geophysical processes, especially in rapid‐response operational settings (e.g., volcano observatories). Our algorithm is fully implemented in a MATLAB®‐based software package (Geodetic Bayesian Inversion Software) that we make freely available to the scientific community.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1383670320078719616","@type":"Researcher","foaf:name":[{"@value":"Marco Bagnardi"}],"jpcoar:affiliationName":[{"@value":"COMET, School of Earth and Environment University of Leeds  Leeds UK"},{"@value":"Now at Jet Propulsion Laboratory California Institute of Technology  Pasadena CA USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670320078719617","@type":"Researcher","foaf:name":[{"@value":"Andrew Hooper"}],"jpcoar:affiliationName":[{"@value":"COMET, School of Earth and Environment University of Leeds  Leeds UK"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"15252027"},{"@type":"EISSN","@value":"15252027"}],"prism:publicationName":[{"@value":"Geochemistry, Geophysics, Geosystems"}],"dc:publisher":[{"@value":"American Geophysical Union (AGU)"}],"prism:publicationDate":"2018-07","prism:volume":"19","prism:number":"7","prism:startingPage":"2194","prism:endingPage":"2211"},"reviewed":"false","dc:rights":["http://creativecommons.org/licenses/by/4.0/"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1029%2F2018GC007585"},{"@id":"https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018GC007585"},{"@id":"https://onlinelibrary.wiley.com/doi/full-xml/10.1029/2018GC007585"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2018GC007585"}],"createdAt":"2018-06-28","modifiedAt":"2023-08-29","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360021389827275264","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"The 2023 Mw 7.8 and 7.6 Earthquake Doublet in Southeast Türkiye: Coseismic and Early Postseismic Deformation, Faulting Model, and Potential Seismic Hazard"}]},{"@id":"https://cir.nii.ac.jp/crid/1360021390568860800","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Geostatistical multitemporal InSAR method and elastic deformation model for detailed characterizations of topographic change and magma reservoirs: Application to the Tangkuban Parahu Volcano, Indonesia"}]},{"@id":"https://cir.nii.ac.jp/crid/1360294643736032512","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Bayesian Inversion for a Stress‐Driven Model of Afterslip and Viscoelastic Relaxation: Method and Application to Postseismic Deformation Following the 2011 <i>M</i><sub><i>W</i></sub> 9.0 Tohoku‐Oki Earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1360853567354121216","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"The Relationship Between Seismic and Aseismic Slip on the Philippine Fault on Leyte Island: Bayesian Modeling of Fault Slip and Geothermal Subsidence"}]},{"@id":"https://cir.nii.ac.jp/crid/1360861705609368832","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Appropriate reduction of the posterior distribution in fully Bayesian inversions"}]},{"@id":"https://cir.nii.ac.jp/crid/2050307417121621504","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Precursory ground deformation of the 2018 phreatic eruption on Iwo-Yama volcano, revealed by four-dimensional joint analysis of airborne and spaceborne InSAR"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1029/2018gc007585"},{"@type":"CROSSREF","@value":"10.1785/0220230146_references_DOI_LSDfH2XeouSPGBBTFDFNFJ0jeXV"},{"@type":"CROSSREF","@value":"10.1016/j.jvolgeores.2023.107964_references_DOI_LSDfH2XeouSPGBBTFDFNFJ0jeXV"},{"@type":"CROSSREF","@value":"10.1186/s40623-020-01280-5_references_DOI_LSDfH2XeouSPGBBTFDFNFJ0jeXV"},{"@type":"CROSSREF","@value":"10.1029/2020jb021620_references_DOI_LSDfH2XeouSPGBBTFDFNFJ0jeXV"},{"@type":"CROSSREF","@value":"10.1029/2020jb020052_references_DOI_LSDfH2XeouSPGBBTFDFNFJ0jeXV"},{"@type":"CROSSREF","@value":"10.1093/gji/ggac231_references_DOI_LSDfH2XeouSPGBBTFDFNFJ0jeXV"}]}