A New Method For Applying R-Largest Maxima Model For Design Sea-State Prediction
Rattachement africain : gr, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
A frequent problem in design sea-state prediction is the limited amount of available extreme wave data. Thus, several methods to characterize extreme values have been developed, in order to allow the modeling of a sequence of maxima rather than the block maximum itself. Such a model is the r-largest maxima model, postulating independency among the r-largest maxima within a block. Independency is approached through semi-empirical techniques, but hardly any of them consider the physical behavior of the examined phenomenon. In this work, a de-clustering method is applied in order to locate sequences of independent maxima from among native HS time-series. Significantly large wave energy reductions of local maxima to following minima were used to partition the time-series into approximately independent sea-state systems, and the maxima of each system is in the sequence used as an input to the r-largest maxima model.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
Où se fait cette recherche
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Hellenic Centre for Marine Research pays non établi dans la noticeStructure de recherche
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National Oceanography Centre pays non établi dans la noticeStructure de recherche
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Institute of Oceanography Hellenic Centre for Marine Research pays non établi dans la noticeStructure de recherche
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National OceanographyCentre pays non établi dans la noticeInstitution
Hellenic Centre for Marine Research, National Oceanography Centre et Hellenic Centre for Marine Research — Institute of Oceanography, avec 1 autre affiliation.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.