Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/51975
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dc.contributor.authorVega, J. L.en_US
dc.contributor.authorRodríguez, G.en_US
dc.date.accessioned2018-11-25T16:22:50Z-
dc.date.available2018-11-25T16:22:50Z-
dc.date.issued2009en_US
dc.identifier.isbn9781845642006-
dc.identifier.issn1743-3541en_US
dc.identifier.urihttp://hdl.handle.net/10553/51975-
dc.description.abstractThis paper presents the probabilistic modelling of the mean wave direction derived from directional spectral analysis of waves recorded by directional buoys. The analysis is performed on the mean wave direction in terms of the climatic season, the sea state severity and the period of the dominant waves. The usefulness of the von Mises theoretical models to describe the empirical kernel density estimates is examined. It is observed that the single von Mises theoretical model results are useful to fit the observed distribution only for moderate and severe sea states while the mixture of two von Mises distributions enhances significantly the degree of fitness. Keywords: wave modelling, mean wave direction, kernel density estimation, circular variables, von Mises distribution, von Mises mixtures.en_US
dc.languageengen_US
dc.publisher1743-3541
dc.relation.ispartofWIT Transactions on Ecology and the Environmenten_US
dc.sourceWIT Transactions on Ecology and the Environment [ISSN 1743-3541], v. 126, p. 3-14en_US
dc.subject2510 Oceanografíaen_US
dc.subject.otherWave modellingen_US
dc.subject.otherMean wave directionen_US
dc.subject.otherKernel density estimationen_US
dc.subject.otherCircular variablesen_US
dc.subject.otherVon Mises distributionen_US
dc.subject.otherVon Mises mixturesen_US
dc.titleModelling mean wave direction distribution with the von Mises modelen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.relation.conference1st International Conference on Physical Coastal Processes, Management and Engineering
dc.relation.conference1st International Conference on Physical Coastal Processes, Management and Engineering, Coastal Processes 2009
dc.identifier.doi10.2495/CP090011
dc.identifier.scopus71649100698-
dc.identifier.isi000274847500001
dc.contributor.authorscopusid57205865509
dc.contributor.authorscopusid26035756400-
dc.contributor.authorscopusid7203006681-
dc.description.lastpage14en_US
dc.description.firstpage3en_US
dc.relation.volume126en_US
dc.investigacionCienciasen_US
dc.type2Artículoen_US
dc.contributor.daisngid29581716
dc.contributor.daisngid28190193
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Vega, JL
dc.contributor.wosstandardWOS:Rodriguez, G
dc.date.coverdateEnero 2009
dc.identifier.ulpgces
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IUNAT: Física marina y teledetección aplicada-
crisitem.author.deptIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.deptDepartamento de Física-
crisitem.author.parentorgIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.fullNameRodríguez Rodríguez, Germán Alejandro-
Colección:Artículos
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