The Expert Team on Climate Change Detection and Indices
Despite the large scatter between the various models, the multimodel average sea ice extent is in good agreement with the observations, meaning that there is apparently no systematic bias in the models. On the other hand, the models generally tend to overestimate the variability of the ice extent co...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.134.3006 2023-05-15T18:18:16+02:00 The Expert Team on Climate Change Detection and Indices The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3006 http://www.knmi.nl/publications/fulltexts/article_etccdi2.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3006 http://www.knmi.nl/publications/fulltexts/article_etccdi2.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.knmi.nl/publications/fulltexts/article_etccdi2.pdf text ftciteseerx 2016-01-07T14:39:18Z Despite the large scatter between the various models, the multimodel average sea ice extent is in good agreement with the observations, meaning that there is apparently no systematic bias in the models. On the other hand, the models generally tend to overestimate the variability of the ice extent compared to observations. Over the 20th century, the multimodel average simulates a stronger warming around the peninsula compared to other regions, which is in qualitative agreement with observations. The simulated strength of the ACC varies a lot between the different models, ranging from less than 50Sv to more than 200 Sv. Various factors could explain those large inter-model differences. In particular, the strength of the westerly wind over Report of the second session of the CCl/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices A. Caltabiano, F. Zweirs and A. Klein-Tank, on behalf of the panel and meeting attendees. Text Sea ice Unknown |
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English |
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Despite the large scatter between the various models, the multimodel average sea ice extent is in good agreement with the observations, meaning that there is apparently no systematic bias in the models. On the other hand, the models generally tend to overestimate the variability of the ice extent compared to observations. Over the 20th century, the multimodel average simulates a stronger warming around the peninsula compared to other regions, which is in qualitative agreement with observations. The simulated strength of the ACC varies a lot between the different models, ranging from less than 50Sv to more than 200 Sv. Various factors could explain those large inter-model differences. In particular, the strength of the westerly wind over Report of the second session of the CCl/CLIVAR/JCOMM Expert Team on Climate Change Detection and Indices A. Caltabiano, F. Zweirs and A. Klein-Tank, on behalf of the panel and meeting attendees. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
title |
The Expert Team on Climate Change Detection and Indices |
spellingShingle |
The Expert Team on Climate Change Detection and Indices |
title_short |
The Expert Team on Climate Change Detection and Indices |
title_full |
The Expert Team on Climate Change Detection and Indices |
title_fullStr |
The Expert Team on Climate Change Detection and Indices |
title_full_unstemmed |
The Expert Team on Climate Change Detection and Indices |
title_sort |
expert team on climate change detection and indices |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3006 http://www.knmi.nl/publications/fulltexts/article_etccdi2.pdf |
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Sea ice |
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Sea ice |
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http://www.knmi.nl/publications/fulltexts/article_etccdi2.pdf |
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http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.3006 http://www.knmi.nl/publications/fulltexts/article_etccdi2.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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