Efficient tools for marine operational forecast and oil spill tracking

Detalhes bibliográficos
Autor(a) principal: Marta-Almeida, Martinho
Data de Publicação: 2013
Outros Autores: Ruiz-Villarreal, Manuel, Pereira, Janini, Otero, Pablo, Cirano, Mauro, Zhang, Xiaoqian, Hetland, Robert D.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://repositorio.ufba.br/ri/handle/ri/13393
Resumo: p. 139–151
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spelling Marta-Almeida, MartinhoRuiz-Villarreal, ManuelPereira, JaniniOtero, PabloCirano, MauroZhang, XiaoqianHetland, Robert D.Marta-Almeida, MartinhoRuiz-Villarreal, ManuelPereira, JaniniOtero, PabloCirano, MauroZhang, XiaoqianHetland, Robert D.2013-10-31T17:35:56Z20130025-326Xhttp://repositorio.ufba.br/ri/handle/ri/13393v. 71, n. 1–2p. 139–151Ocean 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.Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2013-10-30T18:43:19Z No. of bitstreams: 1 2222.pdf: 5660668 bytes, checksum: 8bbfea0f4ca1d8b87074b7d6cdb0e196 (MD5)Approved for entry into archive by Rodrigo Meirelles (rodrigomei@ufba.br) on 2013-10-31T17:35:55Z (GMT) No. of bitstreams: 1 2222.pdf: 5660668 bytes, checksum: 8bbfea0f4ca1d8b87074b7d6cdb0e196 (MD5)Made available in DSpace on 2013-10-31T17:35:56Z (GMT). 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dc.title.pt_BR.fl_str_mv Efficient tools for marine operational forecast and oil spill tracking
dc.title.alternative.pt_BR.fl_str_mv Marine Pollution Bulletin
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
Coastal modelling
Operational forecast
Oil spill tracking
ROMS
GNOME
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
author Marta-Almeida, Martinho
author_facet Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Pereira, Janini
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, Robert D.
author_role author
author2 Ruiz-Villarreal, Manuel
Pereira, Janini
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, Robert D.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Pereira, Janini
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, Robert D.
Marta-Almeida, Martinho
Ruiz-Villarreal, Manuel
Pereira, Janini
Otero, Pablo
Cirano, Mauro
Zhang, Xiaoqian
Hetland, Robert D.
dc.subject.por.fl_str_mv Coastal modelling
Operational forecast
Oil spill tracking
ROMS
GNOME
topic Coastal modelling
Operational forecast
Oil spill tracking
ROMS
GNOME
description p. 139–151
publishDate 2013
dc.date.accessioned.fl_str_mv 2013-10-31T17:35:56Z
dc.date.issued.fl_str_mv 2013
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.ufba.br/ri/handle/ri/13393
dc.identifier.issn.none.fl_str_mv 0025-326X
dc.identifier.number.pt_BR.fl_str_mv v. 71, n. 1–2
identifier_str_mv 0025-326X
v. 71, n. 1–2
url http://repositorio.ufba.br/ri/handle/ri/13393
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Marine Pollution Bulletin
publisher.none.fl_str_mv Marine Pollution Bulletin
dc.source.pt_BR.fl_str_mv http://www.sciencedirect.com/science/article/pii/S0025326X13001628
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFBA
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
institution UFBA
reponame_str Repositório Institucional da UFBA
collection Repositório Institucional da UFBA
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