Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration
The consistency between new quantitative reconstructions of Arctic sea ice concentration based on dinocyst assemblages and the results of climate models has been investigated for the mid-Holocene. The response of the models mainly follows the increase in summer insolation, modulated to a limited ext...
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Copernicus Publications
2014
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fttriple:oai:gotriple.eu:oai:doaj.org/article:13882d84b23d443eb629ef70b04aa1ad 2023-05-15T14:51:39+02:00 Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration Model-data comparison and data assimilation of mid-Holocene Arctic sea ice concentration F. Klein H. Goosse A. Mairesse A. de Vernal 2014-06-01 https://doi.org/10.5194/cp-10-1145-2014 http://www.clim-past.net/10/1145/2014/cp-10-1145-2014.pdf https://doaj.org/article/13882d84b23d443eb629ef70b04aa1ad en eng Copernicus Publications 1814-9324 1814-9332 doi:10.5194/cp-10-1145-2014 http://www.clim-past.net/10/1145/2014/cp-10-1145-2014.pdf https://doaj.org/article/13882d84b23d443eb629ef70b04aa1ad undefined Climate of the Past, Vol 10, Iss 3, Pp 1145-1163 (2014) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2014 fttriple https://doi.org/10.5194/cp-10-1145-2014 2023-01-22T19:40:15Z The consistency between new quantitative reconstructions of Arctic sea ice concentration based on dinocyst assemblages and the results of climate models has been investigated for the mid-Holocene. The response of the models mainly follows the increase in summer insolation, modulated to a limited extent by changes in atmospheric circulation. This leads to differences between regions in the models that are smaller than in the reconstruction. It is, however, impossible to precisely assess the models' skills because the sea ice concentration changes at the mid-Holocene are small in both the reconstructions and the models and of the same order of magnitude as the reconstruction uncertainty. Performing simulations with data assimilation using the model LOVECLIM amplifies the regional differences and improves the model–data agreement as expected. This is mainly achieved through a reduction of the southward winds in the Barents Sea and an increase in the westerly winds in the Canadian Basin, inducing an increase in the ice concentration in the Barents and Chukchi seas. This underlines the potential role of atmospheric circulation in explaining the reconstructed changes during the Holocene. Article in Journal/Newspaper Arctic Barents Sea Chukchi Sea ice Unknown Arctic Barents Sea Climate of the Past 10 3 1145 1163 |
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geo envir F. Klein H. Goosse A. Mairesse A. de Vernal Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration |
topic_facet |
geo envir |
description |
The consistency between new quantitative reconstructions of Arctic sea ice concentration based on dinocyst assemblages and the results of climate models has been investigated for the mid-Holocene. The response of the models mainly follows the increase in summer insolation, modulated to a limited extent by changes in atmospheric circulation. This leads to differences between regions in the models that are smaller than in the reconstruction. It is, however, impossible to precisely assess the models' skills because the sea ice concentration changes at the mid-Holocene are small in both the reconstructions and the models and of the same order of magnitude as the reconstruction uncertainty. Performing simulations with data assimilation using the model LOVECLIM amplifies the regional differences and improves the model–data agreement as expected. This is mainly achieved through a reduction of the southward winds in the Barents Sea and an increase in the westerly winds in the Canadian Basin, inducing an increase in the ice concentration in the Barents and Chukchi seas. This underlines the potential role of atmospheric circulation in explaining the reconstructed changes during the Holocene. |
format |
Article in Journal/Newspaper |
author |
F. Klein H. Goosse A. Mairesse A. de Vernal |
author_facet |
F. Klein H. Goosse A. Mairesse A. de Vernal |
author_sort |
F. Klein |
title |
Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration |
title_short |
Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration |
title_full |
Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration |
title_fullStr |
Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration |
title_full_unstemmed |
Model–data comparison and data assimilation of mid-Holocene Arctic sea ice concentration |
title_sort |
model–data comparison and data assimilation of mid-holocene arctic sea ice concentration |
publisher |
Copernicus Publications |
publishDate |
2014 |
url |
https://doi.org/10.5194/cp-10-1145-2014 http://www.clim-past.net/10/1145/2014/cp-10-1145-2014.pdf https://doaj.org/article/13882d84b23d443eb629ef70b04aa1ad |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Barents Sea Chukchi Sea ice |
genre_facet |
Arctic Barents Sea Chukchi Sea ice |
op_source |
Climate of the Past, Vol 10, Iss 3, Pp 1145-1163 (2014) |
op_relation |
1814-9324 1814-9332 doi:10.5194/cp-10-1145-2014 http://www.clim-past.net/10/1145/2014/cp-10-1145-2014.pdf https://doaj.org/article/13882d84b23d443eb629ef70b04aa1ad |
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undefined |
op_doi |
https://doi.org/10.5194/cp-10-1145-2014 |
container_title |
Climate of the Past |
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10 |
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3 |
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1145 |
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1163 |
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