Numerical simulation of the impact of underlying surface changes on Arctic climate

Using a regional atmospheric model for Arctic climate simulation, two groups of numerical experiments were carried out to study the influence of changes in the underlying surface (land surface, sea surface, and sea ice (LS/SS/SI)) from mild ice years to severe ice years on Arctic climate. In each ex...

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Main Authors: Xiying, Liu, Huasheng, Xia
Format: Article in Journal/Newspaper
Language:English
Published: Polar Research Institute of China - PRIC 2014
Subjects:
Online Access:http://library.arcticportal.org/2546/
http://library.arcticportal.org/2546/1/A20140405.pdf
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spelling ftarcticportal:oai:generic.eprints.org:2546 2023-11-05T03:31:01+01:00 Numerical simulation of the impact of underlying surface changes on Arctic climate Xiying, Liu Huasheng, Xia 2014-12 application/pdf http://library.arcticportal.org/2546/ http://library.arcticportal.org/2546/1/A20140405.pdf en eng Polar Research Institute of China - PRIC http://library.arcticportal.org/2546/1/A20140405.pdf Xiying, Liu and Huasheng, Xia (2014) Numerical simulation of the impact of underlying surface changes on Arctic climate. Advances in Polar Science, 25 (4). pp. 261-268. Atmosphere Cryosphere Oceans Article PeerReviewed 2014 ftarcticportal 2023-10-11T22:54:25Z Using a regional atmospheric model for Arctic climate simulation, two groups of numerical experiments were carried out to study the influence of changes in the underlying surface (land surface, sea surface, and sea ice (LS/SS/SI)) from mild ice years to severe ice years on Arctic climate. In each experiment in the same group, the initial values and lateral boundary conditions were identical. The underlying surface conditions were updated every six hours. The model was integrated for 10 a and monthly mean results were saved for analysis. Variations in annual mean surface air temperature were closely correlated with changes in LS/SS/SI, with a maximum change of more than 15 K. The impact of changes in LS/SS/SI on low-level air temperature was also evident, with significant changes seen over the ocean. However, the maximum change was less than 2 K. For air temperature above 700 hPa, the impact of LS/SS/SI changes was not significant. The distribution of annual mean sea level pressure differences was coincident with the distribution of annual mean sea ice concentration. The difference centers were located in the Barents Sea, the Kara Sea, and the East Siberian Sea, with the maximum value exceeding 3 hPa. For geopotential height, some results passed and some failed a t-test. For results passing the t-test, the area of significance did not decrease with height. There was a significant difference at high levels, with a value of 27 gpm in the difference center at 200 hPa. Article in Journal/Newspaper Advances in Polar Science Arctic Arctic Barents Sea East Siberian Sea Kara Sea Polar Science Polar Science Sea ice Arctic Portal Library
institution Open Polar
collection Arctic Portal Library
op_collection_id ftarcticportal
language English
topic Atmosphere
Cryosphere
Oceans
spellingShingle Atmosphere
Cryosphere
Oceans
Xiying, Liu
Huasheng, Xia
Numerical simulation of the impact of underlying surface changes on Arctic climate
topic_facet Atmosphere
Cryosphere
Oceans
description Using a regional atmospheric model for Arctic climate simulation, two groups of numerical experiments were carried out to study the influence of changes in the underlying surface (land surface, sea surface, and sea ice (LS/SS/SI)) from mild ice years to severe ice years on Arctic climate. In each experiment in the same group, the initial values and lateral boundary conditions were identical. The underlying surface conditions were updated every six hours. The model was integrated for 10 a and monthly mean results were saved for analysis. Variations in annual mean surface air temperature were closely correlated with changes in LS/SS/SI, with a maximum change of more than 15 K. The impact of changes in LS/SS/SI on low-level air temperature was also evident, with significant changes seen over the ocean. However, the maximum change was less than 2 K. For air temperature above 700 hPa, the impact of LS/SS/SI changes was not significant. The distribution of annual mean sea level pressure differences was coincident with the distribution of annual mean sea ice concentration. The difference centers were located in the Barents Sea, the Kara Sea, and the East Siberian Sea, with the maximum value exceeding 3 hPa. For geopotential height, some results passed and some failed a t-test. For results passing the t-test, the area of significance did not decrease with height. There was a significant difference at high levels, with a value of 27 gpm in the difference center at 200 hPa.
format Article in Journal/Newspaper
author Xiying, Liu
Huasheng, Xia
author_facet Xiying, Liu
Huasheng, Xia
author_sort Xiying, Liu
title Numerical simulation of the impact of underlying surface changes on Arctic climate
title_short Numerical simulation of the impact of underlying surface changes on Arctic climate
title_full Numerical simulation of the impact of underlying surface changes on Arctic climate
title_fullStr Numerical simulation of the impact of underlying surface changes on Arctic climate
title_full_unstemmed Numerical simulation of the impact of underlying surface changes on Arctic climate
title_sort numerical simulation of the impact of underlying surface changes on arctic climate
publisher Polar Research Institute of China - PRIC
publishDate 2014
url http://library.arcticportal.org/2546/
http://library.arcticportal.org/2546/1/A20140405.pdf
genre Advances in Polar Science
Arctic
Arctic
Barents Sea
East Siberian Sea
Kara Sea
Polar Science
Polar Science
Sea ice
genre_facet Advances in Polar Science
Arctic
Arctic
Barents Sea
East Siberian Sea
Kara Sea
Polar Science
Polar Science
Sea ice
op_relation http://library.arcticportal.org/2546/1/A20140405.pdf
Xiying, Liu and Huasheng, Xia (2014) Numerical simulation of the impact of underlying surface changes on Arctic climate. Advances in Polar Science, 25 (4). pp. 261-268.
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