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dc.contributor.authorLien, Vidar Surén
dc.contributor.authorHjøllo, Solfrid Sætre
dc.contributor.authorSkogen, Morten D.
dc.contributor.authorSvendsen, Einar
dc.contributor.authorWehde, Henning
dc.contributor.authorBertino, Laurent
dc.contributor.authorCounillon, Francois
dc.contributor.authorChevalier, Matthieu
dc.contributor.authorGiles, Garric
dc.date.accessioned2016-08-08T11:46:34Z
dc.date.accessioned2016-08-09T10:20:09Z
dc.date.available2016-08-08T11:46:34Z
dc.date.available2016-08-09T10:20:09Z
dc.date.issued2016-01-04
dc.identifier.citationOcean Modelling 2016, 99:43-59nb_NO
dc.identifier.issn1463-5011
dc.identifier.urihttp://hdl.handle.net/11250/2398352
dc.description-nb_NO
dc.description.abstractThe Nordic Seas is a hotspot both in terms of climate related processes, such as Atlantic–Arctic heat exchange, and natural marine resources. A sustainable management of the marine resources within the Nordic Seas, including the co-existence between fisheries and petroleum industries, requires detailed information on the state of the ocean within an operational framework and beyond what is obtainable from observations only. Numerical ocean models applying data assimilation techniques are utilized to address this need. Subsequently, comprehensive comparisons between model results and observations are required in order to assess the model performance. Here, we apply a set of objective statistics to quantitatively assess the added value of data assimilation in numerical ocean models that are currently used operationally. The results indicate that the inclusion of data assimilation improves the model performance both in terms of hydrographic properties and volume and heat transports. Furthermore, we find that increasing the resolution towards eddy resolving resolution performs similarly to coarser resolution models applying data assimilation in shelf areas.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsNavngivelse-DelPåSammeVilkår 3.0 Norge*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/3.0/no/*
dc.titleAn assessment of the added value from data assimilation on modelled Nordic Seas hydrography and ocean transportsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.date.updated2016-08-08T11:46:33Z
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400::Geofag: 450::Oseanografi: 452nb_NO
dc.subject.nsiVDP::Mathematics and natural scienses: 400::Geosciences: 450::Oceanography: 452nb_NO
dc.source.pagenumber43-59nb_NO
dc.source.volume99nb_NO
dc.source.journalOcean Modellingnb_NO
dc.identifier.doi10.1016/j.ocemod.2015.12.010
dc.identifier.cristin1361966


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