Oceanography The Official Magazine of
The Oceanography Society
Volume 22 Issue 03

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Volume 22, No. 3
Pages 168 - 175

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Marine Oil Pollution Prediction

By Bruce Hackett , Eric Comerma, Pierre Daniel , and Hitoshi Ichikawa 
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Article Abstract

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.

Citation

Hackett, B., E. Comerma, P. Daniel, and H. Ichikawa. 2009. Marine oil pollution prediction. Oceanography 22(3):168–175, https://doi.org/10.5670/oceanog.2009.75.

References
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Copyright & Usage

This is an open access article made available under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format as long as users cite the materials appropriately, provide a link to the Creative Commons license, and indicate the changes that were made to the original content. Images, animations, videos, or other third-party material used in articles are included in the Creative Commons license unless indicated otherwise in a credit line to the material. If the material is not included in the article’s Creative Commons license, users will need to obtain permission directly from the license holder to reproduce the material.