Late-Twentieth-Century Simulation of Arctic Sea Ice and Ocean Properties in the CCSM4Source: Journal of Climate:;2011:;volume( 025 ):;issue: 005::page 1431Author:Jahn, Alexandra
,
Sterling, Kara
,
Holland, Marika M.
,
Kay, Jennifer E.
,
Maslanik, James A.
,
Bitz, Cecilia M.
,
Bailey, David A.
,
Stroeve, Julienne
,
Hunke, Elizabeth C.
,
Lipscomb, William H.
,
Pollak, Daniel A.
DOI: 10.1175/JCLI-D-11-00201.1Publisher: American Meteorological Society
Abstract: o establish how well the new Community Climate System Model, version 4 (CCSM4) simulates the properties of the Arctic sea ice and ocean, results from six CCSM4 twentieth-century ensemble simulations are compared here with the available data. It is found that the CCSM4 simulations capture most of the important climatological features of the Arctic sea ice and ocean state well, among them the sea ice thickness distribution, fraction of multiyear sea ice, and sea ice edge. The strongest bias exists in the simulated spring-to-fall sea ice motion field, the location of the Beaufort Gyre, and the temperature of the deep Arctic Ocean (below 250 m), which are caused by deficiencies in the simulation of the Arctic sea level pressure field and the lack of deep-water formation on the Arctic shelves. The observed decrease in the sea ice extent and the multiyear ice cover is well captured by the CCSM4. It is important to note, however, that the temporal evolution of the simulated Arctic sea ice cover over the satellite era is strongly influenced by internal variability. For example, while one ensemble member shows an even larger decrease in the sea ice extent over 1981?2005 than that observed, two ensemble members show no statistically significant trend over the same period. It is therefore important to compare the observed sea ice extent trend not just with the ensemble mean or a multimodel ensemble mean, but also with individual ensemble members, because of the strong imprint of internal variability on these relatively short trends.
|
Collections
Show full item record
contributor author | Jahn, Alexandra | |
contributor author | Sterling, Kara | |
contributor author | Holland, Marika M. | |
contributor author | Kay, Jennifer E. | |
contributor author | Maslanik, James A. | |
contributor author | Bitz, Cecilia M. | |
contributor author | Bailey, David A. | |
contributor author | Stroeve, Julienne | |
contributor author | Hunke, Elizabeth C. | |
contributor author | Lipscomb, William H. | |
contributor author | Pollak, Daniel A. | |
date accessioned | 2017-06-09T17:04:19Z | |
date available | 2017-06-09T17:04:19Z | |
date copyright | 2012/03/01 | |
date issued | 2011 | |
identifier issn | 0894-8755 | |
identifier other | ams-78945.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4221670 | |
description abstract | o establish how well the new Community Climate System Model, version 4 (CCSM4) simulates the properties of the Arctic sea ice and ocean, results from six CCSM4 twentieth-century ensemble simulations are compared here with the available data. It is found that the CCSM4 simulations capture most of the important climatological features of the Arctic sea ice and ocean state well, among them the sea ice thickness distribution, fraction of multiyear sea ice, and sea ice edge. The strongest bias exists in the simulated spring-to-fall sea ice motion field, the location of the Beaufort Gyre, and the temperature of the deep Arctic Ocean (below 250 m), which are caused by deficiencies in the simulation of the Arctic sea level pressure field and the lack of deep-water formation on the Arctic shelves. The observed decrease in the sea ice extent and the multiyear ice cover is well captured by the CCSM4. It is important to note, however, that the temporal evolution of the simulated Arctic sea ice cover over the satellite era is strongly influenced by internal variability. For example, while one ensemble member shows an even larger decrease in the sea ice extent over 1981?2005 than that observed, two ensemble members show no statistically significant trend over the same period. It is therefore important to compare the observed sea ice extent trend not just with the ensemble mean or a multimodel ensemble mean, but also with individual ensemble members, because of the strong imprint of internal variability on these relatively short trends. | |
publisher | American Meteorological Society | |
title | Late-Twentieth-Century Simulation of Arctic Sea Ice and Ocean Properties in the CCSM4 | |
type | Journal Paper | |
journal volume | 25 | |
journal issue | 5 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-11-00201.1 | |
journal fristpage | 1431 | |
journal lastpage | 1452 | |
tree | Journal of Climate:;2011:;volume( 025 ):;issue: 005 | |
contenttype | Fulltext |