Assimilation of peak period from video images in numerical wave models at a local scale

Saavedra V; Montoya R; Orfila A; AndrésF O.

doi:10.1016/j.cageo.2023.105407

dc.contributor.author	Saavedra V
dc.contributor.author	Montoya R
dc.contributor.author	Orfila A
dc.contributor.author	AndrésF O.
dc.date.accessioned	2023-10-24T19:23:55Z
dc.date.available	2023-10-24T19:23:55Z
dc.date.created	2023
dc.identifier.issn	983004
dc.identifier.uri	http://hdl.handle.net/11407/7887
dc.description.abstract	This paper presents an innovative methodology to assimilate peak period into wave models at a local scale. The proposed methodology estimates the peak period by processing time stack images from a video monitoring system for assimilation into a wave energy balance spectral model. Assimilation of the wave peak period is performed by correcting the boundary conditions and replacing the directional spectra prescribed by SWAN when using a nesting scheme. This methodology represents a new procedure for assimilating wave peak periods in coastal areas with video system infrastructures. The wave modelling is performed using a three-mesh nesting scheme where the finer domain coincides with the local scale and the proposed assimilation methodology is applied. The results show that the model improves the estimation of the peak period across the whole domain. The shape of the spectrum obtained changes significantly in the inner domain, mainly for low frequencies. © 2023 The Authors	eng
dc.language.iso	eng
dc.publisher	Elsevier Ltd
dc.relation.isversionof	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165156162&doi=10.1016%2fj.cageo.2023.105407&partnerID=40&md5=72e9626250c2e76990fb67ec1e0aca8e
dc.source	Comput. Geosci.
dc.source	Computers and Geosciences	eng
dc.subject	Data assimilation	eng
dc.subject	Peak period	eng
dc.subject	SWAN model	eng
dc.subject	Time stacks	eng
dc.subject	Wave spectrum	eng
dc.subject	WAVEWATCH III model	eng
dc.title	Assimilation of peak period from video images in numerical wave models at a local scale	eng
dc.type	Article
dc.rights.accessrights	info:eu-repo/semantics/restrictedAccess
dc.publisher.program	Ingeniería Civil	spa
dc.type.spa	Artículo
dc.identifier.doi	10.1016/j.cageo.2023.105407
dc.relation.citationvolume	178
dc.publisher.faculty	Facultad de Ingenierías	spa
dc.affiliation	Saavedra, V., Universidad Católica Luis Amigo Medellín, Facultad de ingeniería y Arquitectura, Colombia, Grupo de investigación OCEANICOS, Cra.80 No. 65-223 Bloque M2, Medellín, 050041, Colombia
dc.affiliation	Montoya, R., Grupo de Investigación en ingeniería Ingeniería Civil GICI, Grupo de investigación en Calidad del agua y Modelación Hídrica GICAMH, Universidad de Medellín, Carrera 87 N° 30 – 65, Medellín, Colombia
dc.affiliation	Orfila, A., Instituto Mediterráneo de Estudios Avanzados, IMEDEA (CSIC-UIB), Esporles, 07190, Spain
dc.affiliation	AndrésF, O., Grupo de investigación OCEANICOS, Cra.80 No. 65-223 Bloque M2, Medellín, 050041, Colombia, Esporles, Spain Center of Excellence in Marine Science, CEMARIN, Spain
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