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dc.contributor.authorElshinnawy, Ahmed Ibrahim Abdelmagid
dc.contributor.authorMenéndez García, Melisa 
dc.contributor.authorMedina Santamaría, Raúl 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-11-21T09:38:18Z
dc.date.available2024-11-21T09:38:18Z
dc.date.issued2024-11-15
dc.identifier.issn0029-8018
dc.identifier.issn1873-5258
dc.identifier.urihttps://hdl.handle.net/10902/34498
dc.description.abstractAtmospheric re-analyses are frequently used to force spectral wave models to develop long-term wave datasets. The accuracy of marine surface winds significantly affects the reliability of the modelled wave fields, especially under wave storm conditions. In this study, we employ the spectral wind-wave model WAVEWATCH III (WW3) forced by ERA5 winds to assess their reliability in modelling extreme ocean waves. A one-year wave hindcast of 2010 is simulated and validated against measurements from both in-situ buoy and altimeter data. The results indicate that ERA5 winds underestimate extreme wave conditions for significant wave heights (Hs) larger than 7.5 m. Accordingly, we present a new wind parameterization, in WW3, that corrects the wind speed bias of ERA5. It has a sigmoid mathematical form showing an exponential growth with a bounded limit of the maximum wind speed to be corrected. The results show that the newly proposed parameterization corrects the negative biases for Hs between 7.5 m and 14 m when compared with the wave measurements. The biases are reduced from -0.15 m to negligible values in most of the ocean basins. Other hindcast years were also simulated with WW3 using the new parameterization and the outputs were validated against altimeter data, showing reliable results. This confirms the utility of the new parameterization for extreme ocean wave modelling, which is useful for wide offshore and ocean engineering applications.es_ES
dc.description.sponsorshipThe authors acknowledge the financial support by CoCliCo project, which received funding from the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 101003598. This study forms part of the ThinkInAzul programme and was supported by Ministerio de Ciencia e Innovación with funding from European Union NextGeneration EU (PRTR-C17.I1) and by the Comunidad de Cantabria.es_ES
dc.format.extent16 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevier BVes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceOcean Engineering, 2024, 312(2), 119048es_ES
dc.subject.otherERA5es_ES
dc.subject.otherWind-waveses_ES
dc.subject.otherWAVEWATCH IIIes_ES
dc.subject.otherWind correctiones_ES
dc.subject.otherExtremeses_ES
dc.subject.otherParameterizationes_ES
dc.titleA parameterization for the correction of ERA5 severe winds for extreme ocean wave modellinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.oceaneng.2024.119048es_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/101003598/EU/COASTAL CLIMATE CORE SERVICES/CoCliCo/es_ES
dc.identifier.DOI10.1016/j.oceaneng.2024.119048
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