A hybrid efficient method to downscale wave climate to coastal areas

Long-term time series of sea state parameters are required in different coastal engineering applications. In order to obtain wave data at shallow water and due to the scarcity of instrumental data, ocean wave reanalysis databases ought to be downscaled to increase the spatial resolution and simulate...

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Autores: Camus Braña, Paula, Méndez Incera, Fernando Javier|||0000-0002-5005-1100, Medina Santamaría, Raúl|||0000-0002-0126-2710
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/35094
Acceso en línea:https://hdl.handle.net/10902/35094
Access Level:acceso abierto
Palabra clave:Dynamical downscaling
Maximum dissimilarity algorithm
Radial basis function
Reanalysis database
Statistical downscaling
Wave propagation
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spelling A hybrid efficient method to downscale wave climate to coastal areasCamus Braña, PaulaMéndez Incera, Fernando Javier|||0000-0002-5005-1100Medina Santamaría, Raúl|||0000-0002-0126-2710Dynamical downscalingMaximum dissimilarity algorithmRadial basis functionReanalysis databaseStatistical downscalingWave propagationLong-term time series of sea state parameters are required in different coastal engineering applications. In order to obtain wave data at shallow water and due to the scarcity of instrumental data, ocean wave reanalysis databases ought to be downscaled to increase the spatial resolution and simulate the wave transformation process. In this paper, a hybrid downscaling methodology to transfer wave climate to coastal areas has been developed combining a numerical wave model (dynamical downscaling) with mathematical tools (statistical downscaling). A maximum dissimilarity selection algorithm (MDA) is applied in order to obtain a representative subset of sea states in deep water areas. The reduced number of selected cases spans the marine climate variability, guaranteeing that all possible sea states are represented and capturing even the extreme events. These sea states are propagated using a state-of-the-art wave propagation model. The time series of the propagated sea state parameters at a particular location are reconstructed using a non-linear interpolation technique based on radial basis functions (RBFs), providing excellent results in a high dimensional space with scattered data as occurs in the cases selected with MDA. The numerical validation of the results confirms the ability of the developed methodology to reconstruct sea state time series in shallow water at a particular location and to estimate different spatial wave climate parameters with a considerable reduction in the computational effort.The work was partially funded by projects “GRACCIE” (CSD2007-00067, CONSOLIDER-INGENIO 2010) from the Spanish Ministry of Science and Technology, “MARUCA” (200800050084091) from the Spanish Ministry of Public Works, “C3E” (E17/08) from the Spanish Ministry of Environment, Rural and Marine Affairs and “Modeling the morphodynamic evolution of beaches at medium-term time scale” from the Spanish Ministry of Science and Technology (CTM2008-06640).ElsevierUniversidad de Cantabria20112011-09-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/35094Coastal Engineering, 2011, 58(9), 851-862reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/350942026-06-02T12:39:31Z
dc.title.none.fl_str_mv A hybrid efficient method to downscale wave climate to coastal areas
title A hybrid efficient method to downscale wave climate to coastal areas
spellingShingle A hybrid efficient method to downscale wave climate to coastal areas
Camus Braña, Paula
Dynamical downscaling
Maximum dissimilarity algorithm
Radial basis function
Reanalysis database
Statistical downscaling
Wave propagation
title_short A hybrid efficient method to downscale wave climate to coastal areas
title_full A hybrid efficient method to downscale wave climate to coastal areas
title_fullStr A hybrid efficient method to downscale wave climate to coastal areas
title_full_unstemmed A hybrid efficient method to downscale wave climate to coastal areas
title_sort A hybrid efficient method to downscale wave climate to coastal areas
dc.creator.none.fl_str_mv Camus Braña, Paula
Méndez Incera, Fernando Javier|||0000-0002-5005-1100
Medina Santamaría, Raúl|||0000-0002-0126-2710
author Camus Braña, Paula
author_facet Camus Braña, Paula
Méndez Incera, Fernando Javier|||0000-0002-5005-1100
Medina Santamaría, Raúl|||0000-0002-0126-2710
author_role author
author2 Méndez Incera, Fernando Javier|||0000-0002-5005-1100
Medina Santamaría, Raúl|||0000-0002-0126-2710
author2_role author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Dynamical downscaling
Maximum dissimilarity algorithm
Radial basis function
Reanalysis database
Statistical downscaling
Wave propagation
topic Dynamical downscaling
Maximum dissimilarity algorithm
Radial basis function
Reanalysis database
Statistical downscaling
Wave propagation
description Long-term time series of sea state parameters are required in different coastal engineering applications. In order to obtain wave data at shallow water and due to the scarcity of instrumental data, ocean wave reanalysis databases ought to be downscaled to increase the spatial resolution and simulate the wave transformation process. In this paper, a hybrid downscaling methodology to transfer wave climate to coastal areas has been developed combining a numerical wave model (dynamical downscaling) with mathematical tools (statistical downscaling). A maximum dissimilarity selection algorithm (MDA) is applied in order to obtain a representative subset of sea states in deep water areas. The reduced number of selected cases spans the marine climate variability, guaranteeing that all possible sea states are represented and capturing even the extreme events. These sea states are propagated using a state-of-the-art wave propagation model. The time series of the propagated sea state parameters at a particular location are reconstructed using a non-linear interpolation technique based on radial basis functions (RBFs), providing excellent results in a high dimensional space with scattered data as occurs in the cases selected with MDA. The numerical validation of the results confirms the ability of the developed methodology to reconstruct sea state time series in shallow water at a particular location and to estimate different spatial wave climate parameters with a considerable reduction in the computational effort.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/35094
url https://hdl.handle.net/10902/35094
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Coastal Engineering, 2011, 58(9), 851-862
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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