Vis enkel innførsel

dc.contributor.authorLeeuwenburgh, O.eng
dc.contributor.authorEvensen, Geireng
dc.contributor.authorBertino, Laurenteng
dc.date.accessioned2006-09-08T07:26:21Z
dc.date.available2006-09-08T07:26:21Z
dc.date.issued2005-10eng
dc.PublishedQuarterly Journal of the Royal Meteorological Society 131(613): 3291-3300
dc.identifier.issn0035-9009
dc.identifier.urihttps://hdl.handle.net/1956/1860
dc.description.abstractThe traditional analysis scheme in the Ensemble Kalman Filter (EnKF) uses a stochastic perturbation or randomization of the measurements which ensures a correct variance in the updated ensemble. An alternative so called deterministic analysis algorithm is based on a square-root formulation where the perturbation of measurements is avoided. Experiments with simple models have indicated that ensemble collapse is likely to occur when deterministic filters are applied to nonlinear problems. In this paper the properties of stochastic and deterministic ensemble analysis algorithms are evaluated in an identical-twin experiment using an ocean general circulation model. In particular, the implications of the use of deterministic ensemble square-root filters (EnSRF) for ensemble distribution are investigated. An explanation is presented for the observed collapse, and a simple solution based on randomization of the analysis ensemble anomalies is examined. A 1-year assimilation run with this improved EnSRF is found to produce Gaussian distributions, similar to the Ensemble Kalman Filter.en_US
dc.format.extent1443095 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherRoyal Meteorological Societyeng
dc.subjectEnsemble Kalman filtereng
dc.subjectEnsemble Square-Root Filtereng
dc.titleThe impact of ensemble filter definition on the assimilation of temperature profiles in the tropical Pacificeng
dc.typeJournal articleeng
dc.typePeer reviewedeng
dc.description.versionpublishedVersion
dc.rights.holderCopyright 2005 Royal Meteorological Society
dc.identifier.doihttps://doi.org/10.1256/qj.05.90
dc.source.journalQuarterly Journal of the Royal Meteorological Society
dc.source.40131
dc.source.14613
dc.source.pagenumber3291-3300
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400nob


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel