Quantifying polynya ice production in the Laptev Sea with the COSMO model
Arctic flaw polynyas are considered to be highly productive areas for the formation of sea-ice throughout the winter season. Most estimates of sea-ice production are based on the surface energy balance equation and use global reanalyses as atmospheric forcing, which are too coarse to take into accou...
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Online Access: | https://centaur.reading.ac.uk/54180/ https://centaur.reading.ac.uk/54180/1/21_BSHWE_2013.pdf https://doi.org/10.3402/polar.v32i0.20922 |
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ftunivreading:oai:centaur.reading.ac.uk:54180 2024-09-15T18:17:32+00:00 Quantifying polynya ice production in the Laptev Sea with the COSMO model Bauer, Martin Schröder, David Heinemann, Günther Willmes, Sascha Ebner, Lars 2013 text https://centaur.reading.ac.uk/54180/ https://centaur.reading.ac.uk/54180/1/21_BSHWE_2013.pdf https://doi.org/10.3402/polar.v32i0.20922 en eng Co-Action Publishing https://centaur.reading.ac.uk/54180/1/21_BSHWE_2013.pdf Bauer, M., Schröder, D. <https://centaur.reading.ac.uk/view/creators/90005031.html> orcid:0000-0003-2351-4306 , Heinemann, G., Willmes, S. and Ebner, L. (2013) Quantifying polynya ice production in the Laptev Sea with the COSMO model. Polar Research, 32. 20922. ISSN 1751-8369 doi: https://doi.org/10.3402/polar.v32i0.20922 <https://doi.org/10.3402/polar.v32i0.20922> cc_by_nc_4 Article PeerReviewed 2013 ftunivreading https://doi.org/10.3402/polar.v32i0.20922 2024-06-25T14:58:45Z Arctic flaw polynyas are considered to be highly productive areas for the formation of sea-ice throughout the winter season. Most estimates of sea-ice production are based on the surface energy balance equation and use global reanalyses as atmospheric forcing, which are too coarse to take into account the impact of polynyas on the atmosphere. Additional errors in the estimates of polynya ice production may result from the methods of calculating atmospheric energy fluxes and the assumption of a thin-ice distribution within polynyas. The present study uses simulations using the mesoscale weather prediction model of the Consortium for Small-scale Modelling (COSMO), where polynya area is prescribed from satellite data. The polynya area is either assumed to be ice-free or to be covered with thin ice of 10 cm. Simulations have been performed for two winter periods (2007/08 and 2008/09). When using a realistic thin-ice thickness of 10 cm, sea-ice production in Laptev polynyas amount to 30 km3 and 73 km3 for the winters 2007/08 and 2008/09, respectively. The higher turbulent energy fluxes of open-water polynyas result in a 50-70% increase in sea-ice production (49 km3 in 2007/08 and 123 km3 in 2008/09). Our results suggest that previous studies have overestimated ice production in the Laptev Sea. Article in Journal/Newspaper laptev Laptev Sea Polar Research Sea ice CentAUR: Central Archive at the University of Reading Polar Research 32 1 20922 |
institution |
Open Polar |
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CentAUR: Central Archive at the University of Reading |
op_collection_id |
ftunivreading |
language |
English |
description |
Arctic flaw polynyas are considered to be highly productive areas for the formation of sea-ice throughout the winter season. Most estimates of sea-ice production are based on the surface energy balance equation and use global reanalyses as atmospheric forcing, which are too coarse to take into account the impact of polynyas on the atmosphere. Additional errors in the estimates of polynya ice production may result from the methods of calculating atmospheric energy fluxes and the assumption of a thin-ice distribution within polynyas. The present study uses simulations using the mesoscale weather prediction model of the Consortium for Small-scale Modelling (COSMO), where polynya area is prescribed from satellite data. The polynya area is either assumed to be ice-free or to be covered with thin ice of 10 cm. Simulations have been performed for two winter periods (2007/08 and 2008/09). When using a realistic thin-ice thickness of 10 cm, sea-ice production in Laptev polynyas amount to 30 km3 and 73 km3 for the winters 2007/08 and 2008/09, respectively. The higher turbulent energy fluxes of open-water polynyas result in a 50-70% increase in sea-ice production (49 km3 in 2007/08 and 123 km3 in 2008/09). Our results suggest that previous studies have overestimated ice production in the Laptev Sea. |
format |
Article in Journal/Newspaper |
author |
Bauer, Martin Schröder, David Heinemann, Günther Willmes, Sascha Ebner, Lars |
spellingShingle |
Bauer, Martin Schröder, David Heinemann, Günther Willmes, Sascha Ebner, Lars Quantifying polynya ice production in the Laptev Sea with the COSMO model |
author_facet |
Bauer, Martin Schröder, David Heinemann, Günther Willmes, Sascha Ebner, Lars |
author_sort |
Bauer, Martin |
title |
Quantifying polynya ice production in the Laptev Sea with the COSMO model |
title_short |
Quantifying polynya ice production in the Laptev Sea with the COSMO model |
title_full |
Quantifying polynya ice production in the Laptev Sea with the COSMO model |
title_fullStr |
Quantifying polynya ice production in the Laptev Sea with the COSMO model |
title_full_unstemmed |
Quantifying polynya ice production in the Laptev Sea with the COSMO model |
title_sort |
quantifying polynya ice production in the laptev sea with the cosmo model |
publisher |
Co-Action Publishing |
publishDate |
2013 |
url |
https://centaur.reading.ac.uk/54180/ https://centaur.reading.ac.uk/54180/1/21_BSHWE_2013.pdf https://doi.org/10.3402/polar.v32i0.20922 |
genre |
laptev Laptev Sea Polar Research Sea ice |
genre_facet |
laptev Laptev Sea Polar Research Sea ice |
op_relation |
https://centaur.reading.ac.uk/54180/1/21_BSHWE_2013.pdf Bauer, M., Schröder, D. <https://centaur.reading.ac.uk/view/creators/90005031.html> orcid:0000-0003-2351-4306 , Heinemann, G., Willmes, S. and Ebner, L. (2013) Quantifying polynya ice production in the Laptev Sea with the COSMO model. Polar Research, 32. 20922. ISSN 1751-8369 doi: https://doi.org/10.3402/polar.v32i0.20922 <https://doi.org/10.3402/polar.v32i0.20922> |
op_rights |
cc_by_nc_4 |
op_doi |
https://doi.org/10.3402/polar.v32i0.20922 |
container_title |
Polar Research |
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32 |
container_issue |
1 |
container_start_page |
20922 |
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1810455557297930240 |