Modelling Sea-Ice Roughness in the Arctic
The variability of sea ice in the polar regions is an important factor in the climate system particularly because of its strong influence on heat and freshwater transports as well as momentum exchange between ocean and atmosphere. To describe these effects accurately ice conditions need to be known...
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ftoceanrep:oai:oceanrep.geomar.de:4868 2023-05-15T14:25:08+02:00 Modelling Sea-Ice Roughness in the Arctic Steiner, Nadja Harder, Markus Lemke, Peter Wettlaufer, J.S. Dash, J.G. Untersteiner, N. 1999 https://oceanrep.geomar.de/id/eprint/4868/ unknown Springer Steiner, N., Harder, M. and Lemke, P. (1999) Modelling Sea-Ice Roughness in the Arctic. In: Ice Physics and the Natural Environment. I 56 , ed. by Wettlaufer, J. S., Dash, J. G. and Untersteiner, N. NATO ASI Series, 56 . Springer, Heidelberg, Germany, pp. 341-346. info:eu-repo/semantics/closedAccess Book chapter PeerReviewed 1999 ftoceanrep 2023-04-07T14:50:19Z The variability of sea ice in the polar regions is an important factor in the climate system particularly because of its strong influence on heat and freshwater transports as well as momentum exchange between ocean and atmosphere. To describe these effects accurately ice conditions need to be known over long time periods and wide regions. Models are able to produce such data but need to be verified by observations (Lemke et al., 1998). One classical model variable which can be validated quite well with remote sensing methods (SMMR, SSM/I) is the ice coverage. Modelled ice drift can be verified by comparing observed and simulated drift trajectories (Kreyscher et al., 1998). Ice thickness observations, however, are only rarely available from drillings, sonar measurements and laser altimeter recordings. Keywords Book Part Arctic Arctic Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic |
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Open Polar |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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ftoceanrep |
language |
unknown |
description |
The variability of sea ice in the polar regions is an important factor in the climate system particularly because of its strong influence on heat and freshwater transports as well as momentum exchange between ocean and atmosphere. To describe these effects accurately ice conditions need to be known over long time periods and wide regions. Models are able to produce such data but need to be verified by observations (Lemke et al., 1998). One classical model variable which can be validated quite well with remote sensing methods (SMMR, SSM/I) is the ice coverage. Modelled ice drift can be verified by comparing observed and simulated drift trajectories (Kreyscher et al., 1998). Ice thickness observations, however, are only rarely available from drillings, sonar measurements and laser altimeter recordings. Keywords |
author2 |
Wettlaufer, J.S. Dash, J.G. Untersteiner, N. |
format |
Book Part |
author |
Steiner, Nadja Harder, Markus Lemke, Peter |
spellingShingle |
Steiner, Nadja Harder, Markus Lemke, Peter Modelling Sea-Ice Roughness in the Arctic |
author_facet |
Steiner, Nadja Harder, Markus Lemke, Peter |
author_sort |
Steiner, Nadja |
title |
Modelling Sea-Ice Roughness in the Arctic |
title_short |
Modelling Sea-Ice Roughness in the Arctic |
title_full |
Modelling Sea-Ice Roughness in the Arctic |
title_fullStr |
Modelling Sea-Ice Roughness in the Arctic |
title_full_unstemmed |
Modelling Sea-Ice Roughness in the Arctic |
title_sort |
modelling sea-ice roughness in the arctic |
publisher |
Springer |
publishDate |
1999 |
url |
https://oceanrep.geomar.de/id/eprint/4868/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Sea ice |
genre_facet |
Arctic Arctic Sea ice |
op_relation |
Steiner, N., Harder, M. and Lemke, P. (1999) Modelling Sea-Ice Roughness in the Arctic. In: Ice Physics and the Natural Environment. I 56 , ed. by Wettlaufer, J. S., Dash, J. G. and Untersteiner, N. NATO ASI Series, 56 . Springer, Heidelberg, Germany, pp. 341-346. |
op_rights |
info:eu-repo/semantics/closedAccess |
_version_ |
1766297558475341824 |