Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends
Sea ice leads in the Arctic are important features that give rise to strong localized atmospheric heating; they provide the opportunity for vigorous biological primary production, and predicting leads may be of relevance for Arctic shipping. It is commonly believed that traditional sea ice models th...
Published in: | Geophysical Research Letters |
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Online Access: | https://epic.awi.de/id/eprint/41491/ https://epic.awi.de/id/eprint/41491/1/grl54676.pdf https://epic.awi.de/id/eprint/41491/2/grl54676-sup-0001-supplementary.pdf https://hdl.handle.net/10013/epic.48510 https://hdl.handle.net/10013/epic.48510.d001 https://hdl.handle.net/10013/epic.48510.d002 |
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ftawi:oai:epic.awi.de:41491 2023-05-15T14:27:51+02:00 Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends Wang, Q. Danilov, S. Jung, T. Kaleschke, L. Wernecke, A. 2016 application/pdf https://epic.awi.de/id/eprint/41491/ https://epic.awi.de/id/eprint/41491/1/grl54676.pdf https://epic.awi.de/id/eprint/41491/2/grl54676-sup-0001-supplementary.pdf https://hdl.handle.net/10013/epic.48510 https://hdl.handle.net/10013/epic.48510.d001 https://hdl.handle.net/10013/epic.48510.d002 unknown Wiley https://epic.awi.de/id/eprint/41491/1/grl54676.pdf https://hdl.handle.net/10013/epic.48510.d001 https://epic.awi.de/id/eprint/41491/2/grl54676-sup-0001-supplementary.pdf https://hdl.handle.net/10013/epic.48510.d002 Wang, Q. orcid:0000-0002-2704-5394 , Danilov, S. orcid:0000-0001-8098-182X , Jung, T. orcid:0000-0002-2651-1293 , Kaleschke, L. and Wernecke, A. (2016) Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends , Geophysical Research Letters, 43 , pp. 7019-7027 . doi:10.1002/2016GL068696 <https://doi.org/10.1002/2016GL068696> , hdl:10013/epic.48510 EPIC3Geophysical Research Letters, Wiley, 43, pp. 7019-7027, ISSN: 0094-8276 Article isiRev 2016 ftawi https://doi.org/10.1002/2016GL068696 2021-12-24T15:41:48Z Sea ice leads in the Arctic are important features that give rise to strong localized atmospheric heating; they provide the opportunity for vigorous biological primary production, and predicting leads may be of relevance for Arctic shipping. It is commonly believed that traditional sea ice models that employ elastic-viscous-plastic (EVP) rheologies are not capable of properly simulating sea ice deformation, including lead formation, and thus, new formulations for sea ice rheologies have been suggested. Here we show that classical sea ice models have skill in simulating the spatial and temporal variation of lead area fraction in the Arctic when horizontal resolution is increased (here 4.5 km in the Arctic) and when numerical convergence in sea ice solvers is considered, which is frequently neglected. The model results are consistent with satellite remote sensing data and discussed in terms of variability and trends of Arctic sea ice leads. It is found, for example, that wintertime lead area fraction during the last three decades has not undergone significant trends. Article in Journal/Newspaper Arctic Arctic Arctic Ocean Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) Arctic Arctic Ocean Geophysical Research Letters 43 13 7019 7027 |
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Open Polar |
collection |
Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
description |
Sea ice leads in the Arctic are important features that give rise to strong localized atmospheric heating; they provide the opportunity for vigorous biological primary production, and predicting leads may be of relevance for Arctic shipping. It is commonly believed that traditional sea ice models that employ elastic-viscous-plastic (EVP) rheologies are not capable of properly simulating sea ice deformation, including lead formation, and thus, new formulations for sea ice rheologies have been suggested. Here we show that classical sea ice models have skill in simulating the spatial and temporal variation of lead area fraction in the Arctic when horizontal resolution is increased (here 4.5 km in the Arctic) and when numerical convergence in sea ice solvers is considered, which is frequently neglected. The model results are consistent with satellite remote sensing data and discussed in terms of variability and trends of Arctic sea ice leads. It is found, for example, that wintertime lead area fraction during the last three decades has not undergone significant trends. |
format |
Article in Journal/Newspaper |
author |
Wang, Q. Danilov, S. Jung, T. Kaleschke, L. Wernecke, A. |
spellingShingle |
Wang, Q. Danilov, S. Jung, T. Kaleschke, L. Wernecke, A. Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends |
author_facet |
Wang, Q. Danilov, S. Jung, T. Kaleschke, L. Wernecke, A. |
author_sort |
Wang, Q. |
title |
Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends |
title_short |
Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends |
title_full |
Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends |
title_fullStr |
Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends |
title_full_unstemmed |
Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends |
title_sort |
sea ice leads in the arctic ocean: model assessment, interannual variability and trends |
publisher |
Wiley |
publishDate |
2016 |
url |
https://epic.awi.de/id/eprint/41491/ https://epic.awi.de/id/eprint/41491/1/grl54676.pdf https://epic.awi.de/id/eprint/41491/2/grl54676-sup-0001-supplementary.pdf https://hdl.handle.net/10013/epic.48510 https://hdl.handle.net/10013/epic.48510.d001 https://hdl.handle.net/10013/epic.48510.d002 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Arctic Ocean Sea ice |
genre_facet |
Arctic Arctic Arctic Ocean Sea ice |
op_source |
EPIC3Geophysical Research Letters, Wiley, 43, pp. 7019-7027, ISSN: 0094-8276 |
op_relation |
https://epic.awi.de/id/eprint/41491/1/grl54676.pdf https://hdl.handle.net/10013/epic.48510.d001 https://epic.awi.de/id/eprint/41491/2/grl54676-sup-0001-supplementary.pdf https://hdl.handle.net/10013/epic.48510.d002 Wang, Q. orcid:0000-0002-2704-5394 , Danilov, S. orcid:0000-0001-8098-182X , Jung, T. orcid:0000-0002-2651-1293 , Kaleschke, L. and Wernecke, A. (2016) Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends , Geophysical Research Letters, 43 , pp. 7019-7027 . doi:10.1002/2016GL068696 <https://doi.org/10.1002/2016GL068696> , hdl:10013/epic.48510 |
op_doi |
https://doi.org/10.1002/2016GL068696 |
container_title |
Geophysical Research Letters |
container_volume |
43 |
container_issue |
13 |
container_start_page |
7019 |
op_container_end_page |
7027 |
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1766301887891505152 |