Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble

Because of limited high-quality satellite and in situ observations, less attention has been given to the trends in Arctic sea ice thickness and therefore sea ice volume than to the trends in sea ice extent. This study evaluates the spatial and temporal variability in Arctic sea ice thickness using t...

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Main Authors: Labe, Zachary, Magnusdottir, Gudrun, Stern, Hal
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2018
Subjects:
Online Access:https://escholarship.org/uc/item/54b9c1rk
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spelling ftcdlib:oai:escholarship.org:ark:/13030/qt54b9c1rk 2024-01-07T09:41:05+01:00 Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble Labe, Zachary Magnusdottir, Gudrun Stern, Hal 3233 - 3247 2018-04-15 application/pdf https://escholarship.org/uc/item/54b9c1rk unknown eScholarship, University of California qt54b9c1rk https://escholarship.org/uc/item/54b9c1rk public Journal of Climate, vol 31, iss 8 Earth Sciences Oceanography Physical Geography and Environmental Geoscience Life Below Water Arctic Sea ice Climate variability Atmospheric Sciences Geomatic Engineering Meteorology & Atmospheric Sciences Climate change science article 2018 ftcdlib 2023-12-11T19:07:37Z Because of limited high-quality satellite and in situ observations, less attention has been given to the trends in Arctic sea ice thickness and therefore sea ice volume than to the trends in sea ice extent. This study evaluates the spatial and temporal variability in Arctic sea ice thickness using the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). Additionally, the Community Earth System Model Large Ensemble Project (LENS) is used to quantify the forced response and internal variability in the model. A dipole spatial pattern of sea ice thickness variability is shown in both PIOMAS and LENS with opposite signs of polarity between the East Siberian Sea and near the Fram Strait. As future sea ice thins, this dipole structure of variability is reduced, and the largest interannual variability is found only along the northern Greenland coastline. Under a high-emissions scenario (RCP8.5) projection, average September sea ice thickness falls below 0.5 m by the end of the twenty-first century. However, a regional analysis shows internal variability contributes to an uncertainty of 10 to 20 years for the timing of the first September sea ice thickness less than 0.5 m in the marginal seas. Article in Journal/Newspaper Arctic Climate change East Siberian Sea Fram Strait Greenland Sea ice University of California: eScholarship Arctic East Siberian Sea ENVELOPE(166.000,166.000,74.000,74.000) Greenland
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Earth Sciences
Oceanography
Physical Geography and Environmental Geoscience
Life Below Water
Arctic
Sea ice
Climate variability
Atmospheric Sciences
Geomatic Engineering
Meteorology & Atmospheric Sciences
Climate change science
spellingShingle Earth Sciences
Oceanography
Physical Geography and Environmental Geoscience
Life Below Water
Arctic
Sea ice
Climate variability
Atmospheric Sciences
Geomatic Engineering
Meteorology & Atmospheric Sciences
Climate change science
Labe, Zachary
Magnusdottir, Gudrun
Stern, Hal
Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble
topic_facet Earth Sciences
Oceanography
Physical Geography and Environmental Geoscience
Life Below Water
Arctic
Sea ice
Climate variability
Atmospheric Sciences
Geomatic Engineering
Meteorology & Atmospheric Sciences
Climate change science
description Because of limited high-quality satellite and in situ observations, less attention has been given to the trends in Arctic sea ice thickness and therefore sea ice volume than to the trends in sea ice extent. This study evaluates the spatial and temporal variability in Arctic sea ice thickness using the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS). Additionally, the Community Earth System Model Large Ensemble Project (LENS) is used to quantify the forced response and internal variability in the model. A dipole spatial pattern of sea ice thickness variability is shown in both PIOMAS and LENS with opposite signs of polarity between the East Siberian Sea and near the Fram Strait. As future sea ice thins, this dipole structure of variability is reduced, and the largest interannual variability is found only along the northern Greenland coastline. Under a high-emissions scenario (RCP8.5) projection, average September sea ice thickness falls below 0.5 m by the end of the twenty-first century. However, a regional analysis shows internal variability contributes to an uncertainty of 10 to 20 years for the timing of the first September sea ice thickness less than 0.5 m in the marginal seas.
format Article in Journal/Newspaper
author Labe, Zachary
Magnusdottir, Gudrun
Stern, Hal
author_facet Labe, Zachary
Magnusdottir, Gudrun
Stern, Hal
author_sort Labe, Zachary
title Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble
title_short Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble
title_full Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble
title_fullStr Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble
title_full_unstemmed Variability of Arctic sea-ice thickness using PIOMAS and the CESM Large Ensemble
title_sort variability of arctic sea-ice thickness using piomas and the cesm large ensemble
publisher eScholarship, University of California
publishDate 2018
url https://escholarship.org/uc/item/54b9c1rk
op_coverage 3233 - 3247
long_lat ENVELOPE(166.000,166.000,74.000,74.000)
geographic Arctic
East Siberian Sea
Greenland
geographic_facet Arctic
East Siberian Sea
Greenland
genre Arctic
Climate change
East Siberian Sea
Fram Strait
Greenland
Sea ice
genre_facet Arctic
Climate change
East Siberian Sea
Fram Strait
Greenland
Sea ice
op_source Journal of Climate, vol 31, iss 8
op_relation qt54b9c1rk
https://escholarship.org/uc/item/54b9c1rk
op_rights public
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