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Pathways of Oil Spills from Potential Cuban Offshore Exploration: Influence of Ocean Circulation

Progress in Operational Modeling in Support of Oil Spill Response

National Oceanic and Atmospheric Administration, National Ocean Service, Office of Response and Restoration, Emergency Response Division, Silver Spring, MD 20910, USA
Department of Ocean Sciences, University of Miami/RSMAS, Miami, FL 33149, USA
SINTEF Ocean, 7465 Trondheim, Norway
New Jersey Institute of Technology, Civil Engineering, Newark, NJ 07102, USA
Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL 32306, USA
Texas General Land Office, Oil Spill Prevention and Response, Austin, TX 78711, USA
Norwegian Meteorological Institute, 0371 Oslo, Norway
Chevron Energy Technology Company, Environmental Technology Unit, Houston, TX 77002, USA
RPS Group, South Kingstown, RI 02879, USA
Genwest Systems Inc., Edmonds, WA 98020, USA
Naval Research Laboratory, 1005 Balch Boulevard, Stennis Space Center, MS 39529, USA
Canadian Centre for Meteorological and Environmental Prediction, Environmental Emergencies Response Section, Dorval, QC H9P 1J3, Canada
Department of Physics and Astronomy, University of Bologna, 40127 Bologna, Italy
FUGRO USA Marine, Houston, TX 77801, USA
Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA
Bureau of Ocean Energy Management, Washington, DC 20240, USA
National Oceanic and Atmospheric Administration, National Ocean Service, Center for Oceanographic and Operational Products and Services, Silver Spring, MD 20910, USA
Authors to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2020, 8(9), 668;
Received: 11 July 2020 / Revised: 11 August 2020 / Accepted: 13 August 2020 / Published: 31 August 2020
Following the 2010 Deepwater Horizon accident of a massive blow-out in the Gulf of Mexico, scientists from government, industry, and academia collaborated to advance oil spill modeling and share best practices in model algorithms, parameterizations, and application protocols. This synergy was greatly enhanced by research funded under the Gulf of Mexico Research Initiative (GoMRI), a 10-year enterprise that allowed unprecedented collection of observations and data products, novel experiments, and international collaborations that focused on the Gulf of Mexico, but resulted in the generation of scientific findings and tools of broader value. Operational oil spill modeling greatly benefited from research during the GoMRI decade. This paper provides a comprehensive synthesis of the related scientific advances, remaining challenges, and future outlook. Two main modeling components are discussed: Ocean circulation and oil spill models, to provide details on all attributes that contribute to the success and limitations of the integrated oil spill forecasts. These forecasts are discussed in tandem with uncertainty factors and methods to mitigate them. The paper focuses on operational aspects of oil spill modeling and forecasting, including examples of international operational center practices, observational needs, communication protocols, and promising new methodologies. View Full-Text
Keywords: oil spill; ocean modeling; oil spill response; operational modeling oil spill; ocean modeling; oil spill response; operational modeling
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MDPI and ACS Style

Barker, C.H.; Kourafalou, V.H.; Beegle-Krause, C.; Boufadel, M.; Bourassa, M.A.; Buschang, S.G.; Androulidakis, Y.; Chassignet, E.P.; Dagestad, K.-F.; Danmeier, D.G.; Dissanayake, A.L.; Galt, J.A.; Jacobs, G.; Marcotte, G.; Özgökmen, T.; Pinardi, N.; Schiller, R.V.; Socolofsky, S.A.; Thrift-Viveros, D.; Zelenke, B.; Zhang, A.; Zheng, Y. Progress in Operational Modeling in Support of Oil Spill Response. J. Mar. Sci. Eng. 2020, 8, 668.

AMA Style

Barker CH, Kourafalou VH, Beegle-Krause C, Boufadel M, Bourassa MA, Buschang SG, Androulidakis Y, Chassignet EP, Dagestad K-F, Danmeier DG, Dissanayake AL, Galt JA, Jacobs G, Marcotte G, Özgökmen T, Pinardi N, Schiller RV, Socolofsky SA, Thrift-Viveros D, Zelenke B, Zhang A, Zheng Y. Progress in Operational Modeling in Support of Oil Spill Response. Journal of Marine Science and Engineering. 2020; 8(9):668.

Chicago/Turabian Style

Barker, Christopher H., Vassiliki H. Kourafalou, CJ Beegle-Krause, Michel Boufadel, Mark A. Bourassa, Steve G. Buschang, Yannis Androulidakis, Eric P. Chassignet, Knut-Frode Dagestad, Donald G. Danmeier, Anusha L. Dissanayake, Jerry A. Galt, Gregg Jacobs, Guillaume Marcotte, Tamay Özgökmen, Nadia Pinardi, Rafael V. Schiller, Scott A. Socolofsky, Dalina Thrift-Viveros, Brian Zelenke, Aijun Zhang, and Yangxing Zheng. 2020. "Progress in Operational Modeling in Support of Oil Spill Response" Journal of Marine Science and Engineering 8, no. 9: 668.

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