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

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...

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Detalles Bibliográficos
Autores: Saavedra, Victor, Montoya, Rubén D., Orfila, Alejandro, Osorio, Andrés F.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/352674
Acceso en línea:http://hdl.handle.net/10261/352674
https://api.elsevier.com/content/abstract/scopus_id/85165156162
Access Level:acceso abierto
Palabra clave:WAVEWATCH III model
Data assimilation
Peak period
SWAN model
Time stacks
Wave spectrum
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spelling Assimilation of peak period from video images in numerical wave models at a local scaleSaavedra, VictorMontoya, Rubén D.Orfila, AlejandroOsorio, Andrés F.WAVEWATCH III modelData assimilationPeak periodSWAN modelTime stacksWave spectrumThis 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.AO gives thanks to grant RTI2018-093941-B-C31 funded by MCIN/AEI/10.13039/501100011033 and “ERDF A way of making Europe”. The first author wants to thanks to Minciencias and its Scholarship program for doctoral excellence of the Bicentennial – first assignment and the Project ‘Programa estratégico para el Desarrollo de Tecnología Robótica Orientada a la Exploración Petrolera de los Fondos Marinos Colombianos’. Code:1210-531-30550.Peer reviewedElsevierMinisterio de Ciencia e Innovación (España)European CommissionAgencia Estatal de Investigación (España)Saavedra, Victor [0000-0001-5311-6347]Montoya, Rubén D. [0000-0002-8495-3401]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/352674https://api.elsevier.com/content/abstract/scopus_id/85165156162reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093941-B-C31The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.cageo.2023.105407https://doi.org/10.1016/j.cageo.2023.105407Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3526742026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assimilation of peak period from video images in numerical wave models at a local scale
title Assimilation of peak period from video images in numerical wave models at a local scale
spellingShingle Assimilation of peak period from video images in numerical wave models at a local scale
Saavedra, Victor
WAVEWATCH III model
Data assimilation
Peak period
SWAN model
Time stacks
Wave spectrum
title_short Assimilation of peak period from video images in numerical wave models at a local scale
title_full Assimilation of peak period from video images in numerical wave models at a local scale
title_fullStr Assimilation of peak period from video images in numerical wave models at a local scale
title_full_unstemmed Assimilation of peak period from video images in numerical wave models at a local scale
title_sort Assimilation of peak period from video images in numerical wave models at a local scale
dc.creator.none.fl_str_mv Saavedra, Victor
Montoya, Rubén D.
Orfila, Alejandro
Osorio, Andrés F.
author Saavedra, Victor
author_facet Saavedra, Victor
Montoya, Rubén D.
Orfila, Alejandro
Osorio, Andrés F.
author_role author
author2 Montoya, Rubén D.
Orfila, Alejandro
Osorio, Andrés F.
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
European Commission
Agencia Estatal de Investigación (España)
Saavedra, Victor [0000-0001-5311-6347]
Montoya, Rubén D. [0000-0002-8495-3401]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv WAVEWATCH III model
Data assimilation
Peak period
SWAN model
Time stacks
Wave spectrum
topic WAVEWATCH III model
Data assimilation
Peak period
SWAN model
Time stacks
Wave spectrum
description 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/352674
https://api.elsevier.com/content/abstract/scopus_id/85165156162
url http://hdl.handle.net/10261/352674
https://api.elsevier.com/content/abstract/scopus_id/85165156162
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093941-B-C31
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI https://doi.org/10.1016/j.cageo.2023.105407
https://doi.org/10.1016/j.cageo.2023.105407
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
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