ARTÍCULO
TITULO

Progress in Operational Modeling in Support of Oil Spill Response

Christopher H. Barker    
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 Zhengadd Show full author list remove Hide full author list    

Resumen

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.

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