Analysis of Sea Ice Cover Sensitivity in Global Climate Model
The paper presents joint calculations using a 3D atmospheric general circulation model, an ocean model, and a sea ice evolution model. The purpose of the work is to analyze a seasonal and annual evolution of sea ice, long-term variability of a model ice cover, and its sensitivity to some parameters...
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ftdoajarticles:oai:doaj.org/article:4083a6ea7a38437da0c468830e074518 2023-05-15T13:11:30+02:00 Analysis of Sea Ice Cover Sensitivity in Global Climate Model V. P. Parhomenko 2014-01-01T00:00:00Z https://doi.org/10.7463/0414.0708369 https://doaj.org/article/4083a6ea7a38437da0c468830e074518 RU rus MGTU im. N.È. Baumana http://technomag.edu.ru/jour/article/view/587 https://doaj.org/toc/1994-0408 1994-0408 doi:10.7463/0414.0708369 https://doaj.org/article/4083a6ea7a38437da0c468830e074518 Nauka i Obrazovanie, Vol 0, Iss 4, Pp 416-431 (2014) global climate model numerical experiments arctic sea ice Computer engineering. Computer hardware TK7885-7895 Mechanics of engineering. Applied mechanics TA349-359 article 2014 ftdoajarticles https://doi.org/10.7463/0414.0708369 2022-12-30T21:33:55Z The paper presents joint calculations using a 3D atmospheric general circulation model, an ocean model, and a sea ice evolution model. The purpose of the work is to analyze a seasonal and annual evolution of sea ice, long-term variability of a model ice cover, and its sensitivity to some parameters of model as well to define atmosphere-ice-ocean interaction. Results of 100 years simulations of Arctic basin sea ice evolution are analyzed. There are significant (about 0.5 m) inter-annual fluctuations of an ice cover. The ice - atmosphere sensible heat flux reduced by 10% leads to the growth of average sea ice thickness within the limits of 0.05 m – 0.1 m. However in separate spatial points the thickness decreases up to 0.5 m. An analysis of the seasonably changing average ice thickness with decreasing, as compared to the basic variant by 0.05 of clear sea ice albedo and that of snow shows the ice thickness reduction in a range from 0.2 m up to 0.6 m, and the change maximum falls for the summer season of intensive melting. The spatial distribution of ice thickness changes shows, that on the large part of the Arctic Ocean there was a reduction of ice thickness down to 1 m. However, there is also an area of some increase of the ice layer basically in a range up to 0.2 m (Beaufort Sea). The 0.05 decrease of sea ice snow albedo leads to reduction of average ice thickness approximately by 0.2 m, and this value slightly depends on a season. In the following experiment the ocean – ice thermal interaction influence on the ice cover is estimated. It is carried out by increase of a heat flux from ocean to the bottom surface of sea ice by 2 W/sq. m in comparison with base variant. The analysis demonstrates, that the average ice thickness reduces in a range from 0.2 m to 0.35 m. There are small seasonal changes of this value. The numerical experiments results have shown, that an ice cover and its seasonal evolution rather strongly depend on varied parameters. The spatial and seasonal structure of changes has rather complex ... Article in Journal/Newspaper albedo Arctic Basin Arctic Arctic Ocean Beaufort Sea Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Science and Education of the Bauman MSTU 14 04 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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language |
Russian |
topic |
global climate model numerical experiments arctic sea ice Computer engineering. Computer hardware TK7885-7895 Mechanics of engineering. Applied mechanics TA349-359 |
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global climate model numerical experiments arctic sea ice Computer engineering. Computer hardware TK7885-7895 Mechanics of engineering. Applied mechanics TA349-359 V. P. Parhomenko Analysis of Sea Ice Cover Sensitivity in Global Climate Model |
topic_facet |
global climate model numerical experiments arctic sea ice Computer engineering. Computer hardware TK7885-7895 Mechanics of engineering. Applied mechanics TA349-359 |
description |
The paper presents joint calculations using a 3D atmospheric general circulation model, an ocean model, and a sea ice evolution model. The purpose of the work is to analyze a seasonal and annual evolution of sea ice, long-term variability of a model ice cover, and its sensitivity to some parameters of model as well to define atmosphere-ice-ocean interaction. Results of 100 years simulations of Arctic basin sea ice evolution are analyzed. There are significant (about 0.5 m) inter-annual fluctuations of an ice cover. The ice - atmosphere sensible heat flux reduced by 10% leads to the growth of average sea ice thickness within the limits of 0.05 m – 0.1 m. However in separate spatial points the thickness decreases up to 0.5 m. An analysis of the seasonably changing average ice thickness with decreasing, as compared to the basic variant by 0.05 of clear sea ice albedo and that of snow shows the ice thickness reduction in a range from 0.2 m up to 0.6 m, and the change maximum falls for the summer season of intensive melting. The spatial distribution of ice thickness changes shows, that on the large part of the Arctic Ocean there was a reduction of ice thickness down to 1 m. However, there is also an area of some increase of the ice layer basically in a range up to 0.2 m (Beaufort Sea). The 0.05 decrease of sea ice snow albedo leads to reduction of average ice thickness approximately by 0.2 m, and this value slightly depends on a season. In the following experiment the ocean – ice thermal interaction influence on the ice cover is estimated. It is carried out by increase of a heat flux from ocean to the bottom surface of sea ice by 2 W/sq. m in comparison with base variant. The analysis demonstrates, that the average ice thickness reduces in a range from 0.2 m to 0.35 m. There are small seasonal changes of this value. The numerical experiments results have shown, that an ice cover and its seasonal evolution rather strongly depend on varied parameters. The spatial and seasonal structure of changes has rather complex ... |
format |
Article in Journal/Newspaper |
author |
V. P. Parhomenko |
author_facet |
V. P. Parhomenko |
author_sort |
V. P. Parhomenko |
title |
Analysis of Sea Ice Cover Sensitivity in Global Climate Model |
title_short |
Analysis of Sea Ice Cover Sensitivity in Global Climate Model |
title_full |
Analysis of Sea Ice Cover Sensitivity in Global Climate Model |
title_fullStr |
Analysis of Sea Ice Cover Sensitivity in Global Climate Model |
title_full_unstemmed |
Analysis of Sea Ice Cover Sensitivity in Global Climate Model |
title_sort |
analysis of sea ice cover sensitivity in global climate model |
publisher |
MGTU im. N.È. Baumana |
publishDate |
2014 |
url |
https://doi.org/10.7463/0414.0708369 https://doaj.org/article/4083a6ea7a38437da0c468830e074518 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
albedo Arctic Basin Arctic Arctic Ocean Beaufort Sea Sea ice |
genre_facet |
albedo Arctic Basin Arctic Arctic Ocean Beaufort Sea Sea ice |
op_source |
Nauka i Obrazovanie, Vol 0, Iss 4, Pp 416-431 (2014) |
op_relation |
http://technomag.edu.ru/jour/article/view/587 https://doaj.org/toc/1994-0408 1994-0408 doi:10.7463/0414.0708369 https://doaj.org/article/4083a6ea7a38437da0c468830e074518 |
op_doi |
https://doi.org/10.7463/0414.0708369 |
container_title |
Science and Education of the Bauman MSTU |
container_volume |
14 |
container_issue |
04 |
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1766247695227289600 |