{"refrec":{"BRefID":307942,"RR":"<b>Fazeres-Ferradosa, T.; Taveira-Pinto, F.; Vanem, E.; Reis, M.T.; das Neves, L.</b> (2018). Asymmetric copula-based distribution models for met-ocean data in offshore wind engineering applications. <i>Wind Engineering 42(4)</i>: 304-334. <a href=\"https://dx.doi.org/10.1177/0309524X18777323\" target=\"_blank\">https://dx.doi.org/10.1177/0309524X18777323</a>","BEntID":300268,"PublicFlag":1,"CheckedFlag":1,"wosflag":0,"vabbflag":0,"RefStringPartII":". <i>Wind Engineering 42(4)</i>: 304-334. <a href=\"https://dx.doi.org/10.1177/0309524X18777323\" target=\"_blank\">https://dx.doi.org/10.1177/0309524X18777323</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Fazeres-Ferradosa, T.; Taveira-Pinto, F.; Vanem, E.; Reis, M.T.; das Neves, L.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Fazeres-Ferradosa, T. <i>et al.</i>","Englishabstract":"Joint statistical models for long-term wave climate are a key aspect of offshore wind engineering design. However, to find a joint model for sea-state characteristics is often difficult due to the complex nature of the wave climate and the physical constraints of sea-states phenomena. The available records of wave heights and periods are often very asymmetric in their nature. This article presents a copula-based approach to obtain the joint cumulative distribution function of the significant wave heights and the up-crossing mean period. This study is based on 124-month hindcast data concerning Horns Rev 3 offshore wind farm. The extra-parametrization technique of symmetric copulas is implemented to account for the asymmetry present in the data. The analysis of the total sea, the wind-sea and primary swell components is performed separately. The results show that the extra-parametrization technique with pairwise copulas consistently provided a better goodness-of-fit when compared to symmetric copulas. Moreover, it is demonstrated that the separation of the total sea into its components does not always improve the extra-parametrized copula's performance. Furthermore, this article also discusses copulas application to offshore wind engineering.","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"Asymmetric copula-based distribution models for met-ocean data in offshore wind engineering applications","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2024-12-10 01:33:01.897972","timezone_type":1,"timezone":"+01:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":"Offshore wind; significant wave height; mean wave period; copula;extra-parametrization; joint statistical model; Cramer-von Mises;asymmetry","OtherDescriptors":null,"Notes":null,"AnaPub":2018,"MonPub":null,"DateUpdate":"2019-07-09","DateCreate":"2019-03-13","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000438627400005","VABBcode":null,"OpenAcc":0,"DOI":"10.1177/0309524X18777323"},"refs":null,"anarec":{"AnaID":307942,"PubliDate":2018,"Pagination":"304-334","XtraPublOfAnaID":null,"ISBN":null,"Volume":"42","Issue":"4","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":280072,"SerRR":"Wind Engineering. 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