Quantitative assessment of two oil-in-ice surface drift algorithms
The ongoing reduction in extent and thickness of sea ice in the Arctic might result in an increase of oil spill risk due to the expansion of shipping activity and oil exploration shift towards higher latitudes. This work assessed the response of two oil-in-ice surface drift models implemented in an...
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Online Access: | https://hdl.handle.net/10037/25392 https://doi.org/10.1016/j.marpolbul.2022.113393 |
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ftunivtroemsoe:oai:munin.uit.no:10037/25392 2023-05-15T15:03:04+02:00 Quantitative assessment of two oil-in-ice surface drift algorithms Martins de Aguiar, Victor Cesar Dagestad, Knut-Frode Hole, Lars Robert Barthel, Knut Sven 2022-02-04 https://hdl.handle.net/10037/25392 https://doi.org/10.1016/j.marpolbul.2022.113393 eng eng Elsevier Marine Pollution Bulletin Framsenteret: MIKON OSMICO Norges forskningsråd: 276730 Martins de Aguiar V, Dagestad KF, Hole LR, Barthel K. Quantitative assessment of two oil-in-ice surface drift algorithms. Marine Pollution Bulletin. 2022;175(10) FRIDAID 2004895 doi:10.1016/j.marpolbul.2022.113393 0025-326X 1879-3363 https://hdl.handle.net/10037/25392 openAccess Copyright 2022 The Author(s) Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2022 ftunivtroemsoe https://doi.org/10.1016/j.marpolbul.2022.113393 2022-06-08T22:58:57Z The ongoing reduction in extent and thickness of sea ice in the Arctic might result in an increase of oil spill risk due to the expansion of shipping activity and oil exploration shift towards higher latitudes. This work assessed the response of two oil-in-ice surface drift models implemented in an open-source Lagrangian framework. By considering two numerical modeling experiments, our main finding indicates that the drift models provide fairly similar outputs when forced by the same input. It was also found that using higher resolution ice-ocean model does not imply better results. We highlight the role of sea ice in the spread, direction and distance traveled by the oil. The skill metric seems to be sensitive to the drift location, and drift model re-initialization is required to avoid forecast deterioration and ensure the accurate tracking of oil slicks in real operations. Article in Journal/Newspaper Arctic Sea ice University of Tromsø: Munin Open Research Archive Arctic Marine Pollution Bulletin 175 113393 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
The ongoing reduction in extent and thickness of sea ice in the Arctic might result in an increase of oil spill risk due to the expansion of shipping activity and oil exploration shift towards higher latitudes. This work assessed the response of two oil-in-ice surface drift models implemented in an open-source Lagrangian framework. By considering two numerical modeling experiments, our main finding indicates that the drift models provide fairly similar outputs when forced by the same input. It was also found that using higher resolution ice-ocean model does not imply better results. We highlight the role of sea ice in the spread, direction and distance traveled by the oil. The skill metric seems to be sensitive to the drift location, and drift model re-initialization is required to avoid forecast deterioration and ensure the accurate tracking of oil slicks in real operations. |
format |
Article in Journal/Newspaper |
author |
Martins de Aguiar, Victor Cesar Dagestad, Knut-Frode Hole, Lars Robert Barthel, Knut Sven |
spellingShingle |
Martins de Aguiar, Victor Cesar Dagestad, Knut-Frode Hole, Lars Robert Barthel, Knut Sven Quantitative assessment of two oil-in-ice surface drift algorithms |
author_facet |
Martins de Aguiar, Victor Cesar Dagestad, Knut-Frode Hole, Lars Robert Barthel, Knut Sven |
author_sort |
Martins de Aguiar, Victor Cesar |
title |
Quantitative assessment of two oil-in-ice surface drift algorithms |
title_short |
Quantitative assessment of two oil-in-ice surface drift algorithms |
title_full |
Quantitative assessment of two oil-in-ice surface drift algorithms |
title_fullStr |
Quantitative assessment of two oil-in-ice surface drift algorithms |
title_full_unstemmed |
Quantitative assessment of two oil-in-ice surface drift algorithms |
title_sort |
quantitative assessment of two oil-in-ice surface drift algorithms |
publisher |
Elsevier |
publishDate |
2022 |
url |
https://hdl.handle.net/10037/25392 https://doi.org/10.1016/j.marpolbul.2022.113393 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
Marine Pollution Bulletin Framsenteret: MIKON OSMICO Norges forskningsråd: 276730 Martins de Aguiar V, Dagestad KF, Hole LR, Barthel K. Quantitative assessment of two oil-in-ice surface drift algorithms. Marine Pollution Bulletin. 2022;175(10) FRIDAID 2004895 doi:10.1016/j.marpolbul.2022.113393 0025-326X 1879-3363 https://hdl.handle.net/10037/25392 |
op_rights |
openAccess Copyright 2022 The Author(s) |
op_doi |
https://doi.org/10.1016/j.marpolbul.2022.113393 |
container_title |
Marine Pollution Bulletin |
container_volume |
175 |
container_start_page |
113393 |
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1766334972883369984 |