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    Arctic Sea Ice Volume Variability over 1901–2010: A Model-Based Reconstruction

    Source: Journal of Climate:;2019:;volume 032:;issue 015::page 4731
    Author:
    Schweiger, Axel J.
    ,
    Wood, Kevin R.
    ,
    Zhang, Jinlun
    DOI: 10.1175/JCLI-D-19-0008.1
    Publisher: American Meteorological Society
    Abstract: AbstractPIOMAS-20C, an Arctic sea ice reconstruction for 1901?2010, is produced by forcing the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) with ERA-20C atmospheric data. ERA-20C performance over Arctic sea ice is assessed by comparisons with measurements and data from other reanalyses. ERA-20C performs similarly with respect to the annual cycle of downwelling radiation, air temperature, and wind speed compared to reanalyses with more extensive data assimilation such as ERA-Interim and MERRA. PIOMAS-20C sea ice thickness and volume are then compared with in situ and aircraft remote sensing observations for the period of ~1950?2010. Error statistics are similar to those for PIOMAS. We compare the magnitude and patterns of sea ice variability between the first half of the twentieth century (1901?40) and the more recent period (1980?2010), both marked by sea ice decline in the Arctic. The first period contains the so-called early-twentieth-century warming (ETCW; ~1920?40) during which the Atlantic sector saw a significant decline in sea ice volume, but the Pacific sector did not. The sea ice decline over the 1979?2010 period is pan-Arctic and 6 times larger than the net decline during the 1901?40 period. Sea ice volume trends reconstructed solely from surface temperature anomalies are smaller than PIOMAS-20C, suggesting that mechanisms other than warming, such as changes in ice motion and deformation, played a significant role in determining sea ice volume trends during both periods.
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      Arctic Sea Ice Volume Variability over 1901–2010: A Model-Based Reconstruction

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    contributor authorSchweiger, Axel J.
    contributor authorWood, Kevin R.
    contributor authorZhang, Jinlun
    date accessioned2019-10-05T06:43:57Z
    date available2019-10-05T06:43:57Z
    date copyright4/15/2019 12:00:00 AM
    date issued2019
    identifier otherJCLI-D-19-0008.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263249
    description abstractAbstractPIOMAS-20C, an Arctic sea ice reconstruction for 1901?2010, is produced by forcing the Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS) with ERA-20C atmospheric data. ERA-20C performance over Arctic sea ice is assessed by comparisons with measurements and data from other reanalyses. ERA-20C performs similarly with respect to the annual cycle of downwelling radiation, air temperature, and wind speed compared to reanalyses with more extensive data assimilation such as ERA-Interim and MERRA. PIOMAS-20C sea ice thickness and volume are then compared with in situ and aircraft remote sensing observations for the period of ~1950?2010. Error statistics are similar to those for PIOMAS. We compare the magnitude and patterns of sea ice variability between the first half of the twentieth century (1901?40) and the more recent period (1980?2010), both marked by sea ice decline in the Arctic. The first period contains the so-called early-twentieth-century warming (ETCW; ~1920?40) during which the Atlantic sector saw a significant decline in sea ice volume, but the Pacific sector did not. The sea ice decline over the 1979?2010 period is pan-Arctic and 6 times larger than the net decline during the 1901?40 period. Sea ice volume trends reconstructed solely from surface temperature anomalies are smaller than PIOMAS-20C, suggesting that mechanisms other than warming, such as changes in ice motion and deformation, played a significant role in determining sea ice volume trends during both periods.
    publisherAmerican Meteorological Society
    titleArctic Sea Ice Volume Variability over 1901–2010: A Model-Based Reconstruction
    typeJournal Paper
    journal volume32
    journal issue15
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-19-0008.1
    journal fristpage4731
    journal lastpage4752
    treeJournal of Climate:;2019:;volume 032:;issue 015
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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