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 re-analyses as atmospheric forcing, which are too coarse to take into acco...
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Norwegian Polar Institute
2013
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ftdoajarticles:oai:doaj.org/article:b525f2328cb04a3f944974a852ee5dbb 2023-05-15T15:09:33+02:00 Quantifying polynya ice production in the Laptev Sea with the COSMO model Martin Bauer David Schröder Günther Heinemann Sascha Willmes Lars Ebner 2013-10-01T00:00:00Z https://doi.org/10.3402/polar.v32i0.20922 https://doaj.org/article/b525f2328cb04a3f944974a852ee5dbb EN eng Norwegian Polar Institute www.polarresearch.net/index.php/polar/article/download/20922/pdf_1 https://doaj.org/toc/0800-0395 https://doaj.org/toc/1751-8369 doi:10.3402/polar.v32i0.20922 0800-0395 1751-8369 https://doaj.org/article/b525f2328cb04a3f944974a852ee5dbb Polar Research, Vol 00, Iss 00, Pp 000-000 (2013) Mesoscale modelling Laptev Sea polynya ice production Environmental sciences GE1-350 Oceanography GC1-1581 article 2013 ftdoajarticles https://doi.org/10.3402/polar.v32i0.20922 2022-12-31T08:12:56Z 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 re-analyses 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 Arctic laptev Laptev Sea Polar Research Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Laptev Sea Polar Research 32 1 20922 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Mesoscale modelling Laptev Sea polynya ice production Environmental sciences GE1-350 Oceanography GC1-1581 |
spellingShingle |
Mesoscale modelling Laptev Sea polynya ice production Environmental sciences GE1-350 Oceanography GC1-1581 Martin Bauer David Schröder Günther Heinemann Sascha Willmes Lars Ebner Quantifying polynya ice production in the Laptev Sea with the COSMO model |
topic_facet |
Mesoscale modelling Laptev Sea polynya ice production Environmental sciences GE1-350 Oceanography GC1-1581 |
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 re-analyses 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 |
Martin Bauer David Schröder Günther Heinemann Sascha Willmes Lars Ebner |
author_facet |
Martin Bauer David Schröder Günther Heinemann Sascha Willmes Lars Ebner |
author_sort |
Martin Bauer |
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 |
Norwegian Polar Institute |
publishDate |
2013 |
url |
https://doi.org/10.3402/polar.v32i0.20922 https://doaj.org/article/b525f2328cb04a3f944974a852ee5dbb |
geographic |
Arctic Laptev Sea |
geographic_facet |
Arctic Laptev Sea |
genre |
Arctic laptev Laptev Sea Polar Research Sea ice |
genre_facet |
Arctic laptev Laptev Sea Polar Research Sea ice |
op_source |
Polar Research, Vol 00, Iss 00, Pp 000-000 (2013) |
op_relation |
www.polarresearch.net/index.php/polar/article/download/20922/pdf_1 https://doaj.org/toc/0800-0395 https://doaj.org/toc/1751-8369 doi:10.3402/polar.v32i0.20922 0800-0395 1751-8369 https://doaj.org/article/b525f2328cb04a3f944974a852ee5dbb |
op_doi |
https://doi.org/10.3402/polar.v32i0.20922 |
container_title |
Polar Research |
container_volume |
32 |
container_issue |
1 |
container_start_page |
20922 |
_version_ |
1766340719038955520 |