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Multivariate statistical modelling of future marine storms

Autor
Lin-Ye, J.; Garcia, M.; Gracia, V.; Ortego, M.I.; Piero Lionello; Sanchez-arcilla, A.
Tipus d'activitat
Article en revista
Revista
Applied ocean research
Data de publicació
2017-04
Volum
65
Pàgina inicial
192
Pàgina final
205
DOI
https://doi.org/10.1016/j.apor.2017.04.009 Obrir en finestra nova
Projecte finançador
Análisis (probabilístico) de los usos en zona costera basado en la vulnerabilidad debida a la erosión/inundación resultantes de la acción del oleaje
Copernicus Evolution and Aplications with Sentinel Enhancements and Land Effluents for Shores and Seas (CEASELESS)
Transferencia de métodos de datos composicionales a las ciencias aplicadas y la tecnología
Repositori
http://hdl.handle.net/2117/103920 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0141118717300743 Obrir en finestra nova
Resum
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 R...
Citació
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.
Paraules clau
Catalan Coast, Generalized Pareto distribution, Generalized additive model, Hierarchical Archimedean copula, Non-stationarity, Wave storm
Grup de recerca
COSDA-UPC - COmpositional and Spatial Data Analysis
LIM/UPC - Laboratori d'Enginyeria Marítima

Participants