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...

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Published in:Geophysical Research Letters
Main Authors: Wang, Q., Danilov, S., Jung, T., Kaleschke, L., Wernecke, A.
Format: Article in Journal/Newspaper
Language:unknown
Published: Wiley 2016
Subjects:
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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spelling 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
institution 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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