Vis enkel innførsel

dc.contributor.authorRasheed, Adil
dc.contributor.authorTabib, Mandar
dc.contributor.authorSüld, Jakob Kristoffer
dc.contributor.authorKristiansen, Jørn
dc.contributor.authorKvamsdal, Trond
dc.date.accessioned2018-05-16T11:36:22Z
dc.date.available2018-05-16T11:36:22Z
dc.date.created2017-06-30T10:48:39Z
dc.date.issued2017
dc.identifier.issn1742-6588
dc.identifier.urihttp://hdl.handle.net/11250/2498402
dc.description.abstractThe mass, momentum and energy fluxes between the atmosphere and ocean surface depend on the state of the ocean surface. The fluxes in turn can significantly alter the nature of the marine boundary layer and the state of the ocean surface. These interactions can be modelled deterministically using a multiphase modelling approach or using a semi-stochastic approach. While the multiphase approach can give better insights (e.g. wave generation), it is computationally too expensive and not suited for modelling ocean waves which are inherently random in nature. It is for this reason that in a forecasting context, semi-stochastic approach is still the workhorse. Furthermore, even in a semi-stochastic approach ocean and atmospheric models can be coupled in either unidirectional way (ocean affecting the atmosphere) or bidirectional way (both ocean and atmosphere affecting each other). Current work compares the performance of these two coupling approaches and validates them using significant wave heights and 10m wind magnitude.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.titleDemonstrating the impact of bidirectional coupling on the performance of an ocean-met modelnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber443-451nb_NO
dc.source.volume137nb_NO
dc.source.journalJournal of Physics, Conference Seriesnb_NO
dc.identifier.doi10.1016/j.egypro.2017.10.368
dc.identifier.cristin1480055
dc.description.localcode© 2017 Published by Elsevier Ltd. This is an open access article under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,15,0
cristin.unitnameInstitutt for matematiske fag
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal