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dc.contributor.authorStefanakos, Christos
dc.date.accessioned2022-03-23T09:15:35Z
dc.date.available2022-03-23T09:15:35Z
dc.date.created2021-10-04T13:23:18Z
dc.date.issued2021
dc.identifier.citationJournal of Marine Science and Engineering. 2021, 9 (9), .en_US
dc.identifier.issn2077-1312
dc.identifier.urihttps://hdl.handle.net/11250/2986994
dc.description.abstractIn the present work, the global wind and wave climate is studied on the basis of two well-known reanalysis products, namely ERA5 and CFSR-W (WW3 hereafter). Several statistical features of the datasets are assessed, such as seasonal variability, quantiles of the probability distribution, monthly, annual and inter-annual variability, and several error metrics. The time span covers a period of 31 years (1979–2009), a fact that assures that most of the long-scale features are equally present in both datasets. The analysis performed is depicted both on a global and regional scale. The results are also assessed by means of a global satellite altimeter dataset.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectprobability analysisen_US
dc.subjectseasonal analysisen_US
dc.subjectCFSR-Wen_US
dc.subjectERA5en_US
dc.subjectwave climatologiesen_US
dc.subjectwind climatologiesen_US
dc.subjectwind speeden_US
dc.subjectsignificant wave heighten_US
dc.titleGlobal wind and wave climate based on two reanalysis databases: ECMWF ERA5 and NCEP CFSRen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright: © 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).en_US
dc.source.pagenumber18en_US
dc.source.volume9en_US
dc.source.journalJournal of Marine Science and Engineeringen_US
dc.source.issue9en_US
dc.identifier.doi10.3390/jmse9090990
dc.identifier.cristin1943053
dc.source.articlenumber990en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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