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...

Full description

Bibliographic Details
Published in:The Cryosphere
Main Authors: J. Stroeve, A. Barrett, M. Serreze, A. Schweiger
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2014
Subjects:
Online Access:https://doi.org/10.5194/tc-8-1839-2014
https://doaj.org/article/22308bab4c104e7ab60e843ec35220a8
_version_ 1821804552154775552
author J. Stroeve
A. Barrett
M. Serreze
A. Schweiger
author_facet J. Stroeve
A. Barrett
M. Serreze
A. Schweiger
author_sort J. Stroeve
collection Directory of Open Access Journals: DOAJ Articles
container_issue 5
container_start_page 1839
container_title The Cryosphere
container_volume 8
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 Article in Journal/Newspaper
genre Arctic
Sea ice
The Cryosphere
genre_facet Arctic
Sea ice
The Cryosphere
geographic Arctic
geographic_facet Arctic
id ftdoajarticles:oai:doaj.org/article:22308bab4c104e7ab60e843ec35220a8
institution Open Polar
language English
op_collection_id ftdoajarticles
op_container_end_page 1854
op_doi https://doi.org/10.5194/tc-8-1839-2014
op_relation http://www.the-cryosphere.net/8/1839/2014/tc-8-1839-2014.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
1994-0416
1994-0424
doi:10.5194/tc-8-1839-2014
https://doaj.org/article/22308bab4c104e7ab60e843ec35220a8
op_source The Cryosphere, Vol 8, Iss 5, Pp 1839-1854 (2014)
publishDate 2014
publisher Copernicus Publications
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:22308bab4c104e7ab60e843ec35220a8 2025-01-16T20:09:43+00:00 Using records from submarine, aircraft and satellites to evaluate climate model simulations of Arctic sea ice thickness J. Stroeve A. Barrett M. Serreze A. Schweiger 2014-10-01T00:00:00Z https://doi.org/10.5194/tc-8-1839-2014 https://doaj.org/article/22308bab4c104e7ab60e843ec35220a8 EN eng Copernicus Publications http://www.the-cryosphere.net/8/1839/2014/tc-8-1839-2014.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-8-1839-2014 https://doaj.org/article/22308bab4c104e7ab60e843ec35220a8 The Cryosphere, Vol 8, Iss 5, Pp 1839-1854 (2014) Environmental sciences GE1-350 Geology QE1-996.5 article 2014 ftdoajarticles https://doi.org/10.5194/tc-8-1839-2014 2022-12-31T02:13:03Z 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. Article in Journal/Newspaper Arctic Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Arctic The Cryosphere 8 5 1839 1854
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
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
title 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_short 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
topic Environmental sciences
GE1-350
Geology
QE1-996.5
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
url https://doi.org/10.5194/tc-8-1839-2014
https://doaj.org/article/22308bab4c104e7ab60e843ec35220a8