Validation of Oil Spill Transport and Fate Modeling in Arctic Ice

Reliability of oil spill modeling in Arctic waters for response planning and risk assessments depends on the accuracy of winds, currents, and ice data (cover and drift) used as input. We compared predicted transport in ice, using ice and ocean model results as input, with observed drifter trajectori...

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Main Authors: French-McCay, Deborah P, Tajalli-Bakhsh, Tayebeh, Jayko, Kathy, Spaulding, Malcolm L, Li, Zhengkai
Format: Article in Journal/Newspaper
Language:unknown
Published: NRC Research Press (a division of Canadian Science Publishing) 2017
Subjects:
Online Access:http://hdl.handle.net/1807/81177
http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2017-0027
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spelling ftunivtoronto:oai:localhost:1807/81177 2023-05-15T15:00:29+02:00 Validation of Oil Spill Transport and Fate Modeling in Arctic Ice French-McCay, Deborah P Tajalli-Bakhsh, Tayebeh Jayko, Kathy Spaulding, Malcolm L Li, Zhengkai 2017-09-01 http://hdl.handle.net/1807/81177 http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2017-0027 unknown NRC Research Press (a division of Canadian Science Publishing) N http://hdl.handle.net/1807/81177 http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2017-0027 Article 2017 ftunivtoronto 2020-06-17T12:08:59Z Reliability of oil spill modeling in Arctic waters for response planning and risk assessments depends on the accuracy of winds, currents, and ice data (cover and drift) used as input. We compared predicted transport in ice, using ice and ocean model results as input, with observed drifter trajectories in the Beaufort Sea and an experimental oil release in the Barents Sea. The ice models varied in ice rheology algorithms used (i.e., Elastic-Viscous-Plastic [EVP], presently used in climate models, versus a new Elasto-Brittle [EB] approach in pack ice) and the time averaging of their outputs, which were provided as input to oil spill models. Evaluations of model performance (skill) against drifters showed improvement using EB instead of EVP rheology. However, model skill was degraded by time-averaging of ocean and ice model vectors before input to the oil spill model. While the accuracy of individual oil model trajectories projected weeks to months into the future is expected to be low, in the event of a spill, forecasts could be updated frequently with satellite and other observations to improve reliability. Comparisons of modeled trajectories with drifters verified that use of the ice-ocean models for ensemble modeling as part of risk assessments is reliable. The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author. Article in Journal/Newspaper Arctic Barents Sea Beaufort Sea University of Toronto: Research Repository T-Space Arctic Barents Sea
institution Open Polar
collection University of Toronto: Research Repository T-Space
op_collection_id ftunivtoronto
language unknown
description Reliability of oil spill modeling in Arctic waters for response planning and risk assessments depends on the accuracy of winds, currents, and ice data (cover and drift) used as input. We compared predicted transport in ice, using ice and ocean model results as input, with observed drifter trajectories in the Beaufort Sea and an experimental oil release in the Barents Sea. The ice models varied in ice rheology algorithms used (i.e., Elastic-Viscous-Plastic [EVP], presently used in climate models, versus a new Elasto-Brittle [EB] approach in pack ice) and the time averaging of their outputs, which were provided as input to oil spill models. Evaluations of model performance (skill) against drifters showed improvement using EB instead of EVP rheology. However, model skill was degraded by time-averaging of ocean and ice model vectors before input to the oil spill model. While the accuracy of individual oil model trajectories projected weeks to months into the future is expected to be low, in the event of a spill, forecasts could be updated frequently with satellite and other observations to improve reliability. Comparisons of modeled trajectories with drifters verified that use of the ice-ocean models for ensemble modeling as part of risk assessments is reliable. The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author.
format Article in Journal/Newspaper
author French-McCay, Deborah P
Tajalli-Bakhsh, Tayebeh
Jayko, Kathy
Spaulding, Malcolm L
Li, Zhengkai
spellingShingle French-McCay, Deborah P
Tajalli-Bakhsh, Tayebeh
Jayko, Kathy
Spaulding, Malcolm L
Li, Zhengkai
Validation of Oil Spill Transport and Fate Modeling in Arctic Ice
author_facet French-McCay, Deborah P
Tajalli-Bakhsh, Tayebeh
Jayko, Kathy
Spaulding, Malcolm L
Li, Zhengkai
author_sort French-McCay, Deborah P
title Validation of Oil Spill Transport and Fate Modeling in Arctic Ice
title_short Validation of Oil Spill Transport and Fate Modeling in Arctic Ice
title_full Validation of Oil Spill Transport and Fate Modeling in Arctic Ice
title_fullStr Validation of Oil Spill Transport and Fate Modeling in Arctic Ice
title_full_unstemmed Validation of Oil Spill Transport and Fate Modeling in Arctic Ice
title_sort validation of oil spill transport and fate modeling in arctic ice
publisher NRC Research Press (a division of Canadian Science Publishing)
publishDate 2017
url http://hdl.handle.net/1807/81177
http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2017-0027
geographic Arctic
Barents Sea
geographic_facet Arctic
Barents Sea
genre Arctic
Barents Sea
Beaufort Sea
genre_facet Arctic
Barents Sea
Beaufort Sea
op_relation N
http://hdl.handle.net/1807/81177
http://www.nrcresearchpress.com/doi/abs/10.1139/AS-2017-0027
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