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dc.contributor.authorSvennevik, Hanna
dc.contributor.authorHicks, Steven
dc.contributor.authorRiegler, Michael
dc.contributor.authorStorelvmo, Trude
dc.contributor.authorHammer, Hugo Lewi
dc.date.accessioned2024-03-18T06:44:31Z
dc.date.available2024-03-18T06:44:31Z
dc.date.created2024-03-15T06:09:42Z
dc.date.issued2024
dc.identifier.issn2052-4463
dc.identifier.urihttps://hdl.handle.net/11250/3122763
dc.description.abstractClouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections difficult. In this paper, we present the European Cloud Cover dataset, which can be used to learn statistical relations between cloud cover and other environmental variables, to potentially improve future climate projections. the dataset was created using a novel technique called area Weighting Regridding Scheme to map satellite observations to cloud fractional cover on the same grid as the other variables in the dataset. Baseline experiments using autoregressive models document that it is possible to use the dataset to predict cloud fractional cover.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA dataset for predicting cloud cover over Europeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin2254573
dc.source.journalScientific Dataen_US


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