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dc.contributor.authorMyrhaug, Dag
dc.contributor.authorWang, Hong
dc.contributor.authorHolmedal, Lars Erik
dc.date.accessioned2018-08-13T12:19:51Z
dc.date.available2018-08-13T12:19:51Z
dc.date.created2018-02-01T09:39:44Z
dc.date.issued2018
dc.identifier.citationOceanologia. 2018, 60 (3), 305-311.nb_NO
dc.identifier.issn0078-3234
dc.identifier.urihttp://hdl.handle.net/11250/2557759
dc.description.abstractThis paper addresses the Stokes transport velocity for deep water random waves in given layers in the water column based on wind statistics, which can be estimated by the simple analytical tool provided here. Results are exemplified by using the Phillips and Pierson-Moskowitz model wave spectra together with long-term wind statistics from one location in the northern North Sea and from four locations in the North Atlantic. The results are relevant for e.g. assessing the drift of marine litter in the ocean based on, for example, global wind statistics.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleStokes transport in layers in the water column based on long-term wind statisticsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber305-311nb_NO
dc.source.volume60nb_NO
dc.source.journalOceanologianb_NO
dc.source.issue3nb_NO
dc.identifier.doi10.1016/j.oceano.2017.12.004
dc.identifier.cristin1560199
dc.description.localcode© 2018 Institute of Oceanology of the Polish Academy of Sciences. Production and hosting by Elsevier Sp. z o.o. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).nb_NO
cristin.unitcode194,64,20,0
cristin.unitnameInstitutt for marin teknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal