YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Climate
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Climate
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    The Changing Cryosphere: Pan-Arctic Snow Trends (1979–2009)

    Source: Journal of Climate:;2011:;volume( 024 ):;issue: 021::page 5691
    Author:
    Liston, Glen E.
    ,
    Hiemstra, Christopher A.
    DOI: 10.1175/JCLI-D-11-00081.1
    Publisher: American Meteorological Society
    Abstract: rctic snow presence, absence, properties, and water amount are key components of Earth?s changing climate system that incur far-reaching physical and biological ramifications. Recent dataset and modeling developments permit relatively high-resolution (10-km horizontal grid; 3-h time step) pan-Arctic snow estimates for 1979?2009. Using MicroMet and SnowModel in conjunction with land cover, topography, and 30 years of the NASA Modern-Era Retrospective Analysis for Research and Applications (MERRA) atmospheric reanalysis data, a distributed snow-related dataset was created including air temperature, snow precipitation, snow-season timing and length, maximum snow water equivalent (SWE) depth, average snow density, snow sublimation, and rain-on-snow events. Regional variability is a dominant feature of the modeled snow-property trends. Both positive and negative regional trends are distributed throughout the pan-Arctic domain, featuring, for example, spatially distinct areas of increasing and decreasing SWE or snow season length. In spite of strong regional variability, the data clearly show a general snow decrease throughout the Arctic: maximum winter SWE has decreased, snow-cover onset is later, the snow-free date in spring is earlier, and snow-cover duration has decreased. The domain-averaged air temperature trend when snow was on the ground was 0.17°C decade?1 with minimum and maximum regional trends of ?0.55° and 0.78°C decade?1, respectively. The trends for total number of snow days in a year averaged ?2.49 days decade?1 with minimum and maximum regional trends of ?17.21 and 7.19 days decade?1, respectively. The average trend for peak SWE in a snow season was ?0.17 cm decade?1 with minimum and maximum regional trends of ?2.50 and 5.70 cm decade?1, respectively.
    • Download: (8.339Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      The Changing Cryosphere: Pan-Arctic Snow Trends (1979–2009)

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4221583
    Collections
    • Journal of Climate

    Show full item record

    contributor authorListon, Glen E.
    contributor authorHiemstra, Christopher A.
    date accessioned2017-06-09T17:03:59Z
    date available2017-06-09T17:03:59Z
    date copyright2011/11/01
    date issued2011
    identifier issn0894-8755
    identifier otherams-78867.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4221583
    description abstractrctic snow presence, absence, properties, and water amount are key components of Earth?s changing climate system that incur far-reaching physical and biological ramifications. Recent dataset and modeling developments permit relatively high-resolution (10-km horizontal grid; 3-h time step) pan-Arctic snow estimates for 1979?2009. Using MicroMet and SnowModel in conjunction with land cover, topography, and 30 years of the NASA Modern-Era Retrospective Analysis for Research and Applications (MERRA) atmospheric reanalysis data, a distributed snow-related dataset was created including air temperature, snow precipitation, snow-season timing and length, maximum snow water equivalent (SWE) depth, average snow density, snow sublimation, and rain-on-snow events. Regional variability is a dominant feature of the modeled snow-property trends. Both positive and negative regional trends are distributed throughout the pan-Arctic domain, featuring, for example, spatially distinct areas of increasing and decreasing SWE or snow season length. In spite of strong regional variability, the data clearly show a general snow decrease throughout the Arctic: maximum winter SWE has decreased, snow-cover onset is later, the snow-free date in spring is earlier, and snow-cover duration has decreased. The domain-averaged air temperature trend when snow was on the ground was 0.17°C decade?1 with minimum and maximum regional trends of ?0.55° and 0.78°C decade?1, respectively. The trends for total number of snow days in a year averaged ?2.49 days decade?1 with minimum and maximum regional trends of ?17.21 and 7.19 days decade?1, respectively. The average trend for peak SWE in a snow season was ?0.17 cm decade?1 with minimum and maximum regional trends of ?2.50 and 5.70 cm decade?1, respectively.
    publisherAmerican Meteorological Society
    titleThe Changing Cryosphere: Pan-Arctic Snow Trends (1979–2009)
    typeJournal Paper
    journal volume24
    journal issue21
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-11-00081.1
    journal fristpage5691
    journal lastpage5712
    treeJournal of Climate:;2011:;volume( 024 ):;issue: 021
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian