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dc.contributor.authorNino-Ruiz, E. D.en_US
dc.contributor.authorSandu, A.en_US
dc.date.accessioned2017-03-06T18:44:24Z
dc.date.available2017-03-06T18:44:24Z
dc.date.issued2015-11-01en_US
dc.identifier.issn1616-7341en_US
dc.identifier.urihttp://hdl.handle.net/10919/75288
dc.format.extent1423 - 1439 (17) page(s)en_US
dc.languageEnglishen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000363259600004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en_US
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectOceanographyen_US
dc.subjectEnKFen_US
dc.subjectShrinkage covariance estimationen_US
dc.subjectBackground errorsen_US
dc.subjectSquare root filteren_US
dc.subjectDATA ASSIMILATIONen_US
dc.subjectERROR COVARIANCESen_US
dc.subjectMODELSen_US
dc.titleEnsemble Kalman filter implementations based on shrinkage covariance matrix estimationen_US
dc.typeArticle - Refereed
dc.description.versionPublished (Publication status)en_US
dc.contributor.departmentComputer Scienceen_US
dc.title.serialOCEAN DYNAMICSen_US
dc.identifier.doihttps://doi.org/10.1007/s10236-015-0888-9
dc.identifier.volume65en_US
dc.identifier.issue11en_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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