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dc.contributor.authorAttia, A.en_US
dc.contributor.authorRao, V.en_US
dc.contributor.authorSandu, A.en_US
dc.date.accessioned2017-03-06T18:34:31Z
dc.date.available2017-03-06T18:34:31Z
dc.date.issued2017-01-10en_US
dc.identifier.issn0271-2091en_US
dc.identifier.urihttp://hdl.handle.net/10919/75267
dc.format.extent90 - 112 (23) page(s)en_US
dc.languageEnglishen_US
dc.publisherWiley-Blackwellen_US
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000389330000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en_US
dc.subjectTechnologyen_US
dc.subjectComputer Science, Interdisciplinary Applicationsen_US
dc.subjectMathematics, Interdisciplinary Applicationsen_US
dc.subjectMechanicsen_US
dc.subjectPhysics, Fluids & Plasmasen_US
dc.subjectComputer Scienceen_US
dc.subjectMathematicsen_US
dc.subjectPhysicsen_US
dc.subjectdata assimilationen_US
dc.subjectvariational methodsen_US
dc.subjectensemble smoothersen_US
dc.subjectMarkov chainen_US
dc.subjectHybrid Monte Carloen_US
dc.subjectQUASI-GEOSTROPHIC MODELen_US
dc.subjectENSEMBLE KALMAN FILTERen_US
dc.subject4D-VARen_US
dc.subjectEQUATIONSen_US
dc.subjectDYNAMICSen_US
dc.titleA Hybrid Monte-Carlo sampling smoother for four-dimensional data assimilationen_US
dc.typeArticle - Refereed
dc.description.versionPublished (Publication status)en_US
dc.contributor.departmentComputer Scienceen_US
dc.title.serialINTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDSen_US
dc.identifier.doihttps://doi.org/10.1002/fld.4259
dc.identifier.volume83en_US
dc.identifier.issue1en_US
pubs.organisational-group/Virginia Tech
pubs.organisational-group/Virginia Tech/All T&R Faculty
pubs.organisational-group/Virginia Tech/Engineering
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Faculty
pubs.organisational-group/Virginia Tech/Engineering/Computer Science


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