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dc.contributor.authorZornoza Aguado, Manuel 
dc.contributor.authorPérez Díaz, Beatriz
dc.contributor.authorCagigal Gil, Laura 
dc.contributor.authorCastanedo Bárcena, Sonia 
dc.contributor.authorMéndez Incera, Fernando Javier 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-03-21T14:35:31Z
dc.date.available2024-03-21T14:35:31Z
dc.date.issued2024-04
dc.identifier.issn0272-7714
dc.identifier.issn1096-0015
dc.identifier.otherPID2022-141181OB-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/32389
dc.description.abstractA hybrid methodology is described to obtain the wave set-up and infragravity wave level components for estimating total water level (TWL) in coastal areas, taking into account the surf zone hydrodynamics involved. By combining statistical tools and numerical methods, high-resolution spatial distributions of wave height and water level components are calculated efficiently and seamlessly. The proposed methodology is tested and numerically validated on La Salvé beach (Cantabria, Spain), showing a robust performance for diverse scenarios. The resulting TWL can efficiently evaluate coastal hazards in forecast and hindcast mode, having strong potential as a guideline for coastal engineers, managers and emergency planners in the elaboration of adaptation and mitigation strategies. As an application of the metamodel to these coastal management tasks, significant past storm events have been reconstructed, and their associated TWL-driven coastal flooding hazard has been analyzed using a impact rank scalees_ES
dc.description.sponsorshipThis work has been funded by the Spanish Ministry of Science and Innovation and forms part of the ThinkInAzul programme with funding from European Union NextGenerationEU (PRTR-C17.I1), and by Comunidad Autónoma de Cantabria (Projects “HyBay” (PID2022-141181OB-I00) and “BahiaLab” (05.NM09.64669)). M.Z.A. was funded by the Spanish Ministry of Science and Innovation, State Plan for Scientific and Technical Research and Innovation 2017–2020 (PRE2020-092372). L.C. acknowledges the funding from the Juan de la Cierva –Formación 452 FJC2021-046933-I/MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/453 PRTR. The authors would like to thank the Centro de Estudios y Experimentación de Obras Públicas (CEDEX) for providing topobathymetry and sediment data, and Puertos del Estado for the open oceanographic data. The authors also wish to recognize the Bureau of Meteorology and CSIRO for providing user-friendly, open-access and high-quality wave hindcast data.es_ES
dc.format.extent16 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceEstuarine, Coastal and Shelf Science, 2024, 299, 108705es_ES
dc.subject.otherHydrodynamicses_ES
dc.subject.otherXBeaches_ES
dc.subject.otherStatistical techniqueses_ES
dc.subject.otherHybrid methodologieses_ES
dc.subject.otherTotal water leveles_ES
dc.subject.otherCoastal hazardses_ES
dc.titleAn efficient metamodel to downscale total water level in open beacheses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.ecss.2024.108705es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141181OB-I00/ES/UNA HERRAMIENTA EFICIENTE HIBRIDA PARA VALORAR EL EFECTO DE MEDIDAS DE ADAPTACION AL CAMBIO CLIMATICO EN ESTUARIOS Y BAHIA/es_ES
dc.identifier.DOI10.1016/j.ecss.2024.108705
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International