Efficient tools for marine operational forecast and oil spill tracking

Ocean forecasting and oil spill modelling and tracking are complex activities requiring specialised institutions. In this work we present a lighter solution based on the Operational Ocean Forecast Python Engine (OOFε) and the oil spill model General NOAA Operational Modelling Environment (GNOME). Th...

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Autores: Marta-Almeida, Martinho, Ruiz-Villarreal, Manuel, Pereira, J., Otero, Pablo, Cirano, Mauro, Zhang, Xiaoqian, Hetland, R.D.
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::650514d3731c87c18755bd7b43a10e65
Acceso en línea:http://hdl.handle.net/10261/316418
Access Level:acceso abierto
Palabra clave:Medio Marino
Centro Oceanográfico de A Coruña
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spelling Efficient tools for marine operational forecast and oil spill trackingMarta-Almeida, MartinhoRuiz-Villarreal, ManuelPereira, J.Otero, PabloCirano, MauroZhang, XiaoqianHetland, R.D.Medio MarinoCentro Oceanográfico de A CoruñaOcean forecasting and oil spill modelling and tracking are complex activities requiring specialised institutions. In this work we present a lighter solution based on the Operational Ocean Forecast Python Engine (OOFε) and the oil spill model General NOAA Operational Modelling Environment (GNOME). These two are robust relocatable and simple to implement and maintain. Implementations of the operational engine in three different regions with distinct oceanic systems, using the ocean model Regional Ocean Modelling System (ROMS), are described, namely the Galician region, the southeastern Brazilian waters and the Texas–Louisiana shelf. GNOME was able to simulate the fate of the Prestige oil spill (Galicia) and compared well with observations of the Krimsk accident (Texas). Scenarios of hypothetical spills in Campos Basin (Brazil) are illustrated, evidencing the sensitiveness to the dynamical system. OOFε and GNOME are proved to be valuable, efficient and low cost tools and can be seen as an intermediate stage towards more complex operational implementations of ocean forecasting and oil spill modelling strategies.Sí202320232013info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/316418reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésCentro Oceanográfico de A Coruñainfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::650514d3731c87c18755bd7b43a10e652026-05-22T06:33:51Z
dc.title.none.fl_str_mv Efficient tools for marine operational forecast and oil spill tracking
title Efficient tools for marine operational forecast and oil spill tracking
spellingShingle Efficient tools for marine operational forecast and oil spill tracking
Marta-Almeida, Martinho
Medio Marino
Centro Oceanográfico de A Coruña
title_short Efficient tools for marine operational forecast and oil spill tracking
title_full Efficient tools for marine operational forecast and oil spill tracking
title_fullStr Efficient tools for marine operational forecast and oil spill tracking
title_full_unstemmed Efficient tools for marine operational forecast and oil spill tracking
title_sort Efficient tools for marine operational forecast and oil spill tracking
dc.creator.none.fl_str_mv Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Pereira, J.
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, R.D.
author Marta-Almeida, Martinho
author_facet Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Pereira, J.
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, R.D.
author_role author
author2 Ruiz-Villarreal, Manuel
Pereira, J.
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, R.D.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Medio Marino
Centro Oceanográfico de A Coruña
topic Medio Marino
Centro Oceanográfico de A Coruña
description Ocean forecasting and oil spill modelling and tracking are complex activities requiring specialised institutions. In this work we present a lighter solution based on the Operational Ocean Forecast Python Engine (OOFε) and the oil spill model General NOAA Operational Modelling Environment (GNOME). These two are robust relocatable and simple to implement and maintain. Implementations of the operational engine in three different regions with distinct oceanic systems, using the ocean model Regional Ocean Modelling System (ROMS), are described, namely the Galician region, the southeastern Brazilian waters and the Texas–Louisiana shelf. GNOME was able to simulate the fate of the Prestige oil spill (Galicia) and compared well with observations of the Krimsk accident (Texas). Scenarios of hypothetical spills in Campos Basin (Brazil) are illustrated, evidencing the sensitiveness to the dynamical system. OOFε and GNOME are proved to be valuable, efficient and low cost tools and can be seen as an intermediate stage towards more complex operational implementations of ocean forecasting and oil spill modelling strategies.
publishDate 2013
dc.date.none.fl_str_mv 2013
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/316418
url http://hdl.handle.net/10261/316418
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Centro Oceanográfico de A Coruña
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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