Marine Oil Pollution Prediction

Marine Oil Pollution Prediction

The ability to monitor and predict marine oil spills depends on access to high-quality information on ocean circulation. Global Ocean Data Assimilation Experiment (GODAE) systems provide data, with global coverage, for currents, temperature, and salinity in the open ocean, and are now being used in...

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Bibliographic Details
Main Authors: Bruce Hackett, Eric Comerma, Pierre Daniel, Hitoshi Ichikawa
Format: Article
Language:English
Published: The Oceanography Society 2009-09-01
Series:Oceanography
Subjects:
GODAE
data assimilation
ocean forcing
oil spill modeling
Online Access:http://tos.org/oceanography/issues/issue_archive/issue_pdfs/22_3/22-3_hackett.pdf
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spelling doaj-fb8b0cb085144cc288ae365483211d3e2020-11-25T02:19:02ZengThe Oceanography SocietyOceanography1042-82752009-09-01223168175Marine Oil Pollution PredictionBruce HackettEric ComermaPierre DanielHitoshi IchikawaThe ability to monitor and predict marine oil spills depends on access to high-quality information on ocean circulation. Global Ocean Data Assimilation Experiment (GODAE) systems provide data, with global coverage, for currents, temperature, and salinity in the open ocean, and are now being used in oil spill fate forecasting systems. This paper provides examples of how GODAE ocean forcing data are implemented in various oil spill modeling systems, including both through direct application and through nesting of local hydrodynamic models. Benefits of using GODAE data sets for oil spill modeling are improved prediction accuracy, global coverage, and the provision of alternative predictions for a given area. http://tos.org/oceanography/issues/issue_archive/issue_pdfs/22_3/22-3_hackett.pdfGODAEdata assimilationocean forcingoil spill modeling
collection DOAJ
language English
format Article
sources DOAJ
author Bruce Hackett
Eric Comerma
Pierre Daniel
Hitoshi Ichikawa
spellingShingle Bruce Hackett
Eric Comerma
Pierre Daniel
Hitoshi Ichikawa
Marine Oil Pollution Prediction
Oceanography
GODAE
data assimilation
ocean forcing
oil spill modeling
author_facet Bruce Hackett
Eric Comerma
Pierre Daniel
Hitoshi Ichikawa
author_sort Bruce Hackett
title Marine Oil Pollution Prediction
title_short Marine Oil Pollution Prediction
title_full Marine Oil Pollution Prediction
title_fullStr Marine Oil Pollution Prediction
title_full_unstemmed Marine Oil Pollution Prediction
title_sort marine oil pollution prediction
publisher The Oceanography Society
series Oceanography
issn 1042-8275
publishDate 2009-09-01
description The ability to monitor and predict marine oil spills depends on access to high-quality information on ocean circulation. Global Ocean Data Assimilation Experiment (GODAE) systems provide data, with global coverage, for currents, temperature, and salinity in the open ocean, and are now being used in oil spill fate forecasting systems. This paper provides examples of how GODAE ocean forcing data are implemented in various oil spill modeling systems, including both through direct application and through nesting of local hydrodynamic models. Benefits of using GODAE data sets for oil spill modeling are improved prediction accuracy, global coverage, and the provision of alternative predictions for a given area.
topic GODAE
data assimilation
ocean forcing
oil spill modeling
url http://tos.org/oceanography/issues/issue_archive/issue_pdfs/22_3/22-3_hackett.pdf
work_keys_str_mv AT brucehackett marineoilpollutionprediction
AT ericcomerma marineoilpollutionprediction
AT pierredaniel marineoilpollutionprediction
AT hitoshiichikawa marineoilpollutionprediction
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