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A multivariate statistical model of extreme events: an application to the Catalan coast
dc.contributor.author | Lin Ye, Jue |
dc.contributor.author | García León, Manuel |
dc.contributor.author | Gracia Garcia, Vicente |
dc.contributor.author | Sánchez-Arcilla Conejo, Agustín |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2016-08-29T10:54:18Z |
dc.date.available | 2018-12-01T01:30:51Z |
dc.date.issued | 2016-11 |
dc.identifier.citation | Lin-Ye, J., Garcia, M., Gracia, V., Sanchez-Arcilla, A. A multivariate statistical model of extreme events: an application to the Catalan coast. "Coastal engineering", Novembre 2016, vol. 117, p. 138-156. |
dc.identifier.issn | 0378-3839 |
dc.identifier.uri | http://hdl.handle.net/2117/89393 |
dc.description.abstract | Wave extreme events can be understood as the combination of Storm-intensity, Directionality and Intra-time distribution. However, the dependence structure among these factors is still unclear. A methodology has been developed to model wave-storms whose components are linked together. The model is composed by three parts: an intensity module, a wave directionality module, and an intra-time distribution module. In the Storm-intensity sub-model, generalized Pareto distributions and hierarchical Archimedean copulas have been used to characterize the storm energy, unitary energy, peak wave-period and duration. In the Directionality and Intra-time sub-models, the wave direction (at the peak of the storm) and the storm growth–decay rates are linked to the variables from the intensity model, respectively. The model is applied to the Catalan coast (NW Mediterranean). The outcomes denote spatial patterns that coincide with the state of knowledge. The proposed methodology is able to provide boundary conditions for wave and near-shore studies, saving computational time and establishing the dependence of the proposed variables. Such synthetic storms reproduce the inter-variable co-dependence of the original data. |
dc.format.extent | 19 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Ports i costes |
dc.subject.lcsh | Ocean waves--Statistical methods |
dc.subject.other | Wave storms |
dc.subject.other | Catalan coast |
dc.subject.other | von Mises distribution |
dc.subject.other | multivariate logit function |
dc.subject.other | hierarchical archimedean copulas |
dc.subject.other | generalized pareto distribution |
dc.title | A multivariate statistical model of extreme events: an application to the Catalan coast |
dc.type | Article |
dc.subject.lemac | Onades -- Mètodes estadístics |
dc.contributor.group | Universitat Politècnica de Catalunya. LIM/UPC - Laboratori d'Enginyeria Marítima |
dc.identifier.doi | 10.1016/j.coastaleng.2016.08.002 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0378383916301661 |
dc.rights.access | Open Access |
local.identifier.drac | 18817694 |
dc.description.version | Postprint (published version) |
local.citation.author | Lin-Ye, J.; Garcia, M.; Gracia, V.; Sanchez-Arcilla, A. |
local.citation.publicationName | Coastal engineering |
local.citation.volume | 117 |
local.citation.startingPage | 138 |
local.citation.endingPage | 156 |
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