Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness

Arctic sea ice thickness distributions from models participating in the World Climate Research Programme Coupled Model Intercomparison Project Phase 5 (CMIP5) are evaluated against observations from submarines, aircraft and satellites. While it is encouraging that the mean thickness distributions fr...

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Main Authors: J. Stroeve, A. Barrett, M. Serreze, A. Schweiger
Format: Article
Language:English
Published: Copernicus Publications 2014-10-01
Series:The Cryosphere
Online Access:http://www.the-cryosphere.net/8/1839/2014/tc-8-1839-2014.pdf
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spelling doaj-22308bab4c104e7ab60e843ec35220a82020-11-24T21:05:55ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242014-10-01851839185410.5194/tc-8-1839-2014Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thicknessJ. Stroeve0A. Barrett1M. Serreze2A. Schweiger3National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USANational Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USANational Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USAPolar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA, USAArctic sea ice thickness distributions from models participating in the World Climate Research Programme Coupled Model Intercomparison Project Phase 5 (CMIP5) are evaluated against observations from submarines, aircraft and satellites. While it is encouraging that the mean thickness distributions from the models are in general agreement with observations, the spatial patterns of sea ice thickness are poorly represented in most models. The poor spatial representation of thickness patterns is associated with a failure of models to represent details of the mean atmospheric circulation pattern that governs the transport and spatial distribution of sea ice. The climate models as a whole also tend to underestimate the rate of ice volume loss from 1979 to 2013, though the multimodel ensemble mean trend remains within the uncertainty of that from the Pan-Arctic Ice Ocean Modeling and Assimilation System. Although large uncertainties in observational products complicate model evaluations, these results raise concerns regarding the ability of CMIP5 models to realistically represent the processes driving the decline of Arctic sea ice and to project the timing of when a seasonally ice-free Arctic may become a reality.http://www.the-cryosphere.net/8/1839/2014/tc-8-1839-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Stroeve
A. Barrett
M. Serreze
A. Schweiger
spellingShingle J. Stroeve
A. Barrett
M. Serreze
A. Schweiger
Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
The Cryosphere
author_facet J. Stroeve
A. Barrett
M. Serreze
A. Schweiger
author_sort J. Stroeve
title Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
title_short Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
title_full Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
title_fullStr Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
title_full_unstemmed Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
title_sort using records from submarine, aircraft and satellites to evaluate climate model simulations of arctic sea ice thickness
publisher Copernicus Publications
series The Cryosphere
issn 1994-0416
1994-0424
publishDate 2014-10-01
description Arctic sea ice thickness distributions from models participating in the World Climate Research Programme Coupled Model Intercomparison Project Phase 5 (CMIP5) are evaluated against observations from submarines, aircraft and satellites. While it is encouraging that the mean thickness distributions from the models are in general agreement with observations, the spatial patterns of sea ice thickness are poorly represented in most models. The poor spatial representation of thickness patterns is associated with a failure of models to represent details of the mean atmospheric circulation pattern that governs the transport and spatial distribution of sea ice. The climate models as a whole also tend to underestimate the rate of ice volume loss from 1979 to 2013, though the multimodel ensemble mean trend remains within the uncertainty of that from the Pan-Arctic Ice Ocean Modeling and Assimilation System. Although large uncertainties in observational products complicate model evaluations, these results raise concerns regarding the ability of CMIP5 models to realistically represent the processes driving the decline of Arctic sea ice and to project the timing of when a seasonally ice-free Arctic may become a reality.
url http://www.the-cryosphere.net/8/1839/2014/tc-8-1839-2014.pdf
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