Mostrar el registro sencillo

dc.contributor.authorIzaguirre Lasa, Cristina
dc.contributor.authorMenéndez García, Melisa 
dc.contributor.authorCamus Braña, Paula
dc.contributor.authorMéndez Incera, Fernando Javier 
dc.contributor.authorMínguez Solana, Roberto
dc.contributor.authorLosada Rodríguez, Iñigo 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2025-01-21T11:18:50Z
dc.date.available2025-01-21T11:18:50Z
dc.date.issued2012-12
dc.identifier.issn1463-5003
dc.identifier.issn1463-5011
dc.identifier.otherCSD2007-00067es_ES
dc.identifier.otherCTM2010-15009es_ES
dc.identifier.urihttps://hdl.handle.net/10902/35095
dc.description.abstractThe extreme wave climate is of paramount importance for: (i) off-shore and coastal engineering design, (ii) ship design and maritime transportation, or (iii) analysis of coastal processes. Identifying the synoptic patterns that produce extreme waves is necessary to understand the wave climate for a specific location. Thus, a characterization of these weather patterns may allow the study of the relationships between the magnitude and occurrence of extreme wave events and the climate system. The aim of this paper is to analyze the interannual variability of extreme wave heights. For this purpose, we present a methodological framework and its application to an area over the North East (NE) Atlantic Ocean. The climatology in the NE Atlantic is analyzed using the self-organizing maps (SOMs). The application of this clustering technique to monthly mean sea level pressure fields provides a continuum of synoptic categorizations compared with discrete realizations produced through most traditional methods. The extreme wave climate has been analyzed by means of monthly maxima of the significant wave height (SWH) in several locations over the NE Atlantic. A statistical approach based on a time-dependent generalized extreme value (GEV) distribution has been applied. The seasonal variation was characterized and, afterwards, the interannual variability was studied throughout regional pressure patterns. The anomalies of the 50-year return level estimates of SWH, due to interannual variability have been projected into the weather types of SOM. It provides a comprehensive visual representation, which relates the weather type with the positive or negative contribution to extreme waves over the selected locations.es_ES
dc.description.sponsorshipC. Izaguirre is indebted to the Universidad de Cantabria and the Gobierno de Cantabria for the funding provided within the Posdoctoral Support Program. The work was partially funded by projects “GRACCIE” (CSD2007-00067, CONSOLIDER-INGENIO 2010), “AMVAR” (CTM2010-15009) from the Spanish Ministry of Ciencia e Innovación, “MARUCA” from the Spanish Ministry of Fomento, “C3E” from the Spanish Ministry of Environment, Rural and Marine, and “IMAR21” (CTM2010-15009) from the Spanish Government. We also want to thank the two anonymous reviewers for their useful comments that contributed to the final version of the manuscript.es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevier Ltdes_ES
dc.rights© 2012. This manuscript version is made available under the CC-BY-NC-ND 4.0 licensees_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceOcean Modelling, 2012, 59-60, 31-40es_ES
dc.subject.otherWeather typeses_ES
dc.subject.otherGeneralized extreme value distributiones_ES
dc.subject.otherClimate variabilityes_ES
dc.subject.otherSynoptic classificationes_ES
dc.subject.otherSelf organizing mapses_ES
dc.subject.otherExtreme wave climatees_ES
dc.titleExploring the interannual variability of extreme wave climate in the Northeast Atlantic Oceanes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.ocemod.2012.09.007es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MEC//CSD2007-00067/ES/MULTIDISCIPLINARY RESEARCH CONSORTIUM ON GRADUAL AND ABRUPT CLIMATE CHANGES, AND THEIR IMPACTS ON THE ENVIRONMENT (GRACCIE)/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MICINN//CTM2010-15009/ES/ANALISIS MATEMATICO-ESTADISTICO DE VARIABLES AMBIENTALES Y SU INTEGRACION EN EL TRATAMIENTO DEL RIESGO EN INGENIERIA MARITIMA/es_ES
dc.identifier.DOI10.1016/j.ocemod.2012.09.007
dc.type.versionacceptedVersiones_ES


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo

© 2012. This manuscript version is made available under the CC-BY-NC-ND 4.0 licenseExcepto si se señala otra cosa, la licencia del ítem se describe como © 2012. This manuscript version is made available under the CC-BY-NC-ND 4.0 license