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/11250/2997923 https://doi.org/10.1016/j.marpolbul.2022.113393 |
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ftunivbergen:oai:bora.uib.no:11250/2997923 2023-05-15T15:03:21+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 application/pdf https://hdl.handle.net/11250/2997923 https://doi.org/10.1016/j.marpolbul.2022.113393 eng eng Elsevier EC/H2020/Popcorn Framsenteret: MIKON OSMICO Norges forskningsråd: 276730 urn:issn:0025-326X https://hdl.handle.net/11250/2997923 https://doi.org/10.1016/j.marpolbul.2022.113393 cristin:2004895 Marine Pollution Bulletin. 2022, 175, 113393. Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no Copyright 2022 The Author(s) 113393 Marine Pollution Bulletin 175 Journal article Peer reviewed 2022 ftunivbergen https://doi.org/10.1016/j.marpolbul.2022.113393 2023-03-14T17:43:26Z 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. publishedVersion Article in Journal/Newspaper Arctic Sea ice University of Bergen: Bergen Open Research Archive (BORA-UiB) Arctic Marine Pollution Bulletin 175 113393 |
institution |
Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
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. publishedVersion |
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/11250/2997923 https://doi.org/10.1016/j.marpolbul.2022.113393 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
113393 Marine Pollution Bulletin 175 |
op_relation |
EC/H2020/Popcorn Framsenteret: MIKON OSMICO Norges forskningsråd: 276730 urn:issn:0025-326X https://hdl.handle.net/11250/2997923 https://doi.org/10.1016/j.marpolbul.2022.113393 cristin:2004895 Marine Pollution Bulletin. 2022, 175, 113393. |
op_rights |
Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no 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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1766335211813994496 |