dc.contributor.author | Lin Ye, Jue |
dc.contributor.author | García León, Manuel |
dc.contributor.author | Gracia García, Vicente |
dc.contributor.author | Ortego Martínez, María Isabel |
dc.contributor.author | Lionello, Piero |
dc.contributor.author | Sánchez-Arcilla Conejo, Agustín |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2017-05-02T15:35:22Z |
dc.date.available | 2019-05-01T00:30:43Z |
dc.date.issued | 2017-04 |
dc.identifier.citation | Lin Ye, J., Garcia, M., Gracia, V., Ortego, M.I., Piero Lionello, Sanchez-Arcilla, A. Multivariate statistical modelling of future marine storms. "Applied ocean research", Abril 2017, vol. 65, p. 192-205. |
dc.identifier.issn | 0141-1187 |
dc.identifier.other | https://arxiv.org/abs/1903.05727 |
dc.identifier.uri | http://hdl.handle.net/2117/103920 |
dc.description.abstract | Extreme events, such as wave-storms, need to be characterized for coastal infrastructure design purposes. Such description should contain information on both the univariate behaviour and the joint-dependence of storm-variables. These two aspects have been here addressed through generalized Pareto distributions and hierarchical Archimedean copulas. A non-stationary model has been used to highlight the relationship between these extreme events and non-stationary climate. It has been applied to a Representative Concentration Pathway 8.5 Climate-Change scenario, for a fetch-limited environment (Catalan Coast). In the non-stationary model, all considered variables decrease in time, except for storm-duration at the northern part of the Catalan Coast. The joint distribution of storm variables presents cyclical fluctuations, with a stronger influence of climate dynamics than of climate itself. |
dc.format.extent | 14 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
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 | Storms--Forecasting |
dc.subject.lcsh | Storms--Statistical methods |
dc.subject.other | Wave storm |
dc.subject.other | Catalan Coast |
dc.subject.other | Hierarchical Archimedean copula |
dc.subject.other | Generalized Pareto distribution |
dc.subject.other | Non-stationarity |
dc.subject.other | Generalized additive model |
dc.title | Multivariate statistical modelling of future marine storms |
dc.type | Article |
dc.subject.lemac | Tempestes |
dc.contributor.group | Universitat Politècnica de Catalunya. LIM/UPC - Laboratori d'Enginyeria Marítima |
dc.contributor.group | Universitat Politècnica de Catalunya. COSDA-UPC - COmpositional and Spatial Data Analysis |
dc.identifier.doi | 10.1016/j.apor.2017.04.009 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0141118717300743 |
dc.rights.access | Open Access |
local.identifier.drac | 20094829 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/730030/EU/Copernicus Evolution and Aplications with Sentinel Enhancements and Land Effluents for Shores and Seas/CEASELESS |
dc.relation.projectid | ceaseless |
local.citation.author | Lin Ye, J.; Garcia, M.; Gracia, V.; Ortego, M.I.; Lionello, Piero; Sanchez-Arcilla, A. |
local.citation.publicationName | Applied ocean research |
local.citation.volume | 65 |
local.citation.startingPage | 192 |
local.citation.endingPage | 205 |