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dc.contributor.authorStefanakos, Christos
dc.contributor.authorVanem, Eric
dc.date.accessioned2018-06-19T16:02:10Z
dc.date.available2018-06-19T16:02:10Z
dc.date.created2018-06-15T14:50:38Z
dc.date.issued2018-06
dc.identifier.citationJournal of Ocean Engineering and Science. 2018, 3 144-155.nb_NO
dc.identifier.issn2468-0133
dc.identifier.urihttp://hdl.handle.net/11250/2502177
dc.description.abstractGlobal climate change may have serious impact on human activities in coastal and other areas. Climate change may affect the degree of storminess and, hence, change the wind-driven ocean wave climate. This may affect the risks associated with maritime activities such as shipping and offshore oil and gas. So, there is a recognized need to understand better how climate change will affect such processes. Typically, such understanding comes from future projections of the wind and wave climate from numerical climate models and from the stochastic modelling of such projections. This work investigates the applicability of a recently proposed nonstationary fuzzy modelling to wind and wave climatic simulations. According to this, fuzzy inference models (FIS) are coupled with nonstationary time series modelling, providing us with less biased climatic estimates. Two long-term datasets for an area in the North Atlantic Ocean are used in the present study, namely NORA10 (57 years) and ExWaCli (30 years in the present and 30 years in the future). Two distinct experiments have been performed to simulate future values of the time series in a climatic scale. The assessment of the simulations by means of the actual values kept for comparison purposes gives very good results.nb_NO
dc.description.abstractNonstationary fuzzy forecasting of wind and wave climate in very long-term scalesnb_NO
dc.description.sponsorshipShanghai Jiaotong Universitynb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectFuzzy time seriesnb_NO
dc.subjectWind and wave datanb_NO
dc.subjectForecastingnb_NO
dc.subjectNonstationarynb_NO
dc.subjectOcean wind and wave climatenb_NO
dc.titleNonstationary fuzzy forecasting of wind and wave climate in very long-term scalesnb_NO
dc.title.alternativeNonstationary fuzzy forecasting of wind and wave climate in very long-term scalesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© 2018 Shanghai Jiaotong University. Published by Elsevier B.V.nb_NO
dc.source.pagenumber144-155nb_NO
dc.source.volume3nb_NO
dc.source.journalJournal of Ocean Engineering and Sciencenb_NO
dc.identifier.doi10.1016/j.joes.2018.04.001
dc.identifier.cristin1591562
dc.relation.projectNorges forskningsråd: 243814nb_NO
cristin.unitcode7566,6,0,0
cristin.unitnameMiljøteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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