{"@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/1361699996269087744.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1002/2016jb013314"}},{"identifier":{"@type":"URI","@value":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2F2016JB013314"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016JB013314"}},{"identifier":{"@type":"URI","@value":"https://onlinelibrary.wiley.com/doi/full-xml/10.1002/2016JB013314"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/am-pdf/10.1002/2016JB013314"}},{"identifier":{"@type":"URI","@value":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JB013314"}}],"dc:title":[{"@value":"Kinematic rupture scenarios and synthetic displacement data: An example application to the Cascadia subduction zone"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:title>Abstract</jats:title><jats:p>Scenario ruptures and ground motion simulation are important tools for studies of expected earthquake and tsunami hazards during future events. This is particularly important for large (<jats:italic>M<jats:sub>w</jats:sub></jats:italic>8+) and very large (<jats:italic>M<jats:sub>w</jats:sub></jats:italic>8.5+) events for which observations are still limited. In particular, synthetic waveforms are important to test the response of earthquake and tsunami warning systems to large events. These systems are not often exercised in this manner. We will show an application of the Karhunen‐Loève (K‐L) expansion to generate stochastic slip distributions of large events with an example application to the Cascadia subduction zone. We will discuss how to extend the static slip distributions obtained from the K‐L expansion to produce kinematic rupture models and generate synthetic long‐period displacement data at the sampling rates of traditional Global Navigation Satellite Systems (GNSS) stations. We will validate the waveforms produced by this method by comparison to a displacement‐based ground motion prediction equation obtained from GNSS measurements of large earthquakes worldwide.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381699996269087746","@type":"Researcher","foaf:name":[{"@value":"Diego Melgar"}],"jpcoar:affiliationName":[{"@value":"Seismological Laboratory University of California  Berkeley California USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699996269087747","@type":"Researcher","foaf:name":[{"@value":"Randall J. LeVeque"}],"jpcoar:affiliationName":[{"@value":"Department of Applied Math University of Washington  Seattle Washington USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699996269087744","@type":"Researcher","foaf:name":[{"@value":"Douglas S. Dreger"}],"jpcoar:affiliationName":[{"@value":"Seismological Laboratory University of California  Berkeley California USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699996269087745","@type":"Researcher","foaf:name":[{"@value":"Richard M. Allen"}],"jpcoar:affiliationName":[{"@value":"Seismological Laboratory University of California  Berkeley California USA"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"21699313"},{"@type":"EISSN","@value":"21699356"}],"prism:publicationName":[{"@value":"Journal of Geophysical Research: Solid Earth"}],"dc:publisher":[{"@value":"American Geophysical Union (AGU)"}],"prism:publicationDate":"2016-09","prism:volume":"121","prism:number":"9","prism:startingPage":"6658","prism:endingPage":"6674"},"reviewed":"false","dc:rights":["http://onlinelibrary.wiley.com/termsAndConditions#am","http://onlinelibrary.wiley.com/termsAndConditions#vor"],"url":[{"@id":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2F2016JB013314"},{"@id":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016JB013314"},{"@id":"https://onlinelibrary.wiley.com/doi/full-xml/10.1002/2016JB013314"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/am-pdf/10.1002/2016JB013314"},{"@id":"https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2016JB013314"}],"createdAt":"2016-08-31","modifiedAt":"2023-09-09","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050304183894830336","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Probabilistic tsunami hazard assessment based on the Gutenberg–Richter law in eastern Shikoku, Nankai subduction zone, Japan"}]},{"@id":"https://cir.nii.ac.jp/crid/1360013168760776448","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Time‐Dependent Probabilistic Tsunami Inundation Assessment Using Mode Decomposition to Assess Uncertainty for an Earthquake Scenario"}]},{"@id":"https://cir.nii.ac.jp/crid/1360283689327422592","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"REGARD: A new GNSS‐based real‐time finite fault modeling system for GEONET"}]},{"@id":"https://cir.nii.ac.jp/crid/1360290617507527936","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Energy‐Based Scenarios for Great Thrust‐Type Earthquakes in the Nankai Trough Subduction Zone, Southwest Japan, Using an Interseismic Slip‐Deficit Model"}]},{"@id":"https://cir.nii.ac.jp/crid/1360861714567751936","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Mechanically Coupled Areas on the Plate Interface in the Nankai Trough, Japan and a Possible Seismic and Aseismic Rupture Scenario for Megathrust Earthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1362544419224151808","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"An Optimized Array Configuration of Tsunami Observation Network Off Southern Java, Indonesia"}]},{"@id":"https://cir.nii.ac.jp/crid/1390302459079777664","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Comparative Performance of Scenario Superposition by Sequential Bayesian Update for Tsunami Risk Evaluation"}]},{"@id":"https://cir.nii.ac.jp/crid/1390564238037713408","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"ja","@value":"地震観測波形とシミュレーション波形の適合度評価"},{"@language":"en","@value":"THE GOODNESS-OF-FIT BETWEEN OBSERVED AND SIMULATED WAVES"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1002/2016jb013314"},{"@type":"CROSSREF","@value":"10.3130/aijs.83.1435_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.1029/2021jc017250_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.1186/s40623-022-01715-1_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.1002/2016jb013485_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.1029/2019jb017600_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.20965/jdr.2024.p0896_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.1029/2022jb023992_references_DOI_S9KqAYQgEyd7x17FBveKikKwFfE"},{"@type":"CROSSREF","@value":"10.1029/2020jb020417_references_DOI_4Boumg2uQIoDiW0MlhIct1lLSh5"}]}