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.

Progress in operational modeling in support of oil spill response / Barker C.H.; Kourafalou V.H.; Beegle-Krause C.J.; 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.; Ozgokmen T.; Pinardi N.; Schiller R.V.; Socolofsky S.A.; Thrift-Viveros D.; Zelenke B.; Zhang A.; Zheng Y.. - In: JOURNAL OF MARINE SCIENCE AND ENGINEERING. - ISSN 2077-1312. - ELETTRONICO. - 8:9(2020), pp. 668.1-668.55. [10.3390/jmse8090668]

Progress in operational modeling in support of oil spill response

Pinardi N.
Membro del Collaboration Group
;
2020

Abstract

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.
2020
Progress in operational modeling in support of oil spill response / Barker C.H.; Kourafalou V.H.; Beegle-Krause C.J.; 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.; Ozgokmen T.; Pinardi N.; Schiller R.V.; Socolofsky S.A.; Thrift-Viveros D.; Zelenke B.; Zhang A.; Zheng Y.. - In: JOURNAL OF MARINE SCIENCE AND ENGINEERING. - ISSN 2077-1312. - ELETTRONICO. - 8:9(2020), pp. 668.1-668.55. [10.3390/jmse8090668]
Barker C.H.; Kourafalou V.H.; Beegle-Krause C.J.; 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.; Ozgokmen T.; Pinardi N.; Schiller R.V.; Socolofsky S.A.; Thrift-Viveros D.; Zelenke B.; Zhang A.; Zheng Y.
File in questo prodotto:
File Dimensione Formato  
jmse-08-00668.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 6.79 MB
Formato Adobe PDF
6.79 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/795572
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 48
  • ???jsp.display-item.citation.isi??? 41
social impact