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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Published in:The Cryosphere
Main Authors: Stroeve, J., Barrett, A., Serreze, M., Schweiger, A.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-8-1839-2014
https://tc.copernicus.org/articles/8/1839/2014/
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spelling ftcopernicus:oai:publications.copernicus.org:tc24545 2023-05-15T14:39:35+02:00 Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness Stroeve, J. Barrett, A. Serreze, M. Schweiger, A. 2018-09-27 application/pdf https://doi.org/10.5194/tc-8-1839-2014 https://tc.copernicus.org/articles/8/1839/2014/ eng eng doi:10.5194/tc-8-1839-2014 https://tc.copernicus.org/articles/8/1839/2014/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-8-1839-2014 2020-07-20T16:24:54Z 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. Text Arctic Sea ice Copernicus Publications: E-Journals Arctic The Cryosphere 8 5 1839 1854
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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.
format Text
author Stroeve, J.
Barrett, A.
Serreze, M.
Schweiger, A.
spellingShingle Stroeve, J.
Barrett, A.
Serreze, M.
Schweiger, A.
Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness
author_facet Stroeve, J.
Barrett, A.
Serreze, M.
Schweiger, A.
author_sort Stroeve, J.
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
publishDate 2018
url https://doi.org/10.5194/tc-8-1839-2014
https://tc.copernicus.org/articles/8/1839/2014/
geographic Arctic
geographic_facet Arctic
genre Arctic
Sea ice
genre_facet Arctic
Sea ice
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-8-1839-2014
https://tc.copernicus.org/articles/8/1839/2014/
op_doi https://doi.org/10.5194/tc-8-1839-2014
container_title The Cryosphere
container_volume 8
container_issue 5
container_start_page 1839
op_container_end_page 1854
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