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

    Variations of Climate, Surface Energy Budget, and Minimum Snow/Ice Extent over Canadian Arctic Landmass for 2000–16

    Source: Journal of Climate:;2017:;volume 031:;issue 003::page 1155
    Author:
    Trishchenko, Alexander P.
    ,
    Wang, Shusen
    DOI: 10.1175/JCLI-D-17-0198.1
    Publisher: American Meteorological Society
    Abstract: AbstractSnow and ice over land are important hydrological resources and sensitive indicators of climate change. The Moderate Resolution Imaging Spectroradiometer (MODIS) dataset at 250-m spatial resolution generated at the Canada Centre for Remote Sensing (CCRS) is used to derive the annual minimum snow and ice (MSI) extent over the Canadian Arctic landmass over a 17-yr time span (2000?16). The smallest MSI extent (1.53 ? 105 km2) was observed in 2012, the largest (2.09 ? 105 km2) was observed in 2013; the average value was 1.70 ? 105 km2. Several reanalyses and observational datasets are assessed to explain the derived MSI variations: the ERA-Interim reanalysis, North American Regional Reanalysis (NARR), Clouds and the Earth?s Radiant Energy System (CERES) radiative fluxes, and European Space Agency?s GlobSnow dataset. Comparison with the Randolph Glacier Inventory (RGI) showed two important facts: 1) the semipermanent snowpack in the Canadian Arctic that persists through the entire melting season is a significant component relative to the ice caps and glacier-covered areas (up to 36% or 5.58 ? 104 km2), and 2) the MSI variations are related to variations in the local climate dynamics such as warm season average temperature, energy fluxes, and snow cover. The correlation coefficients (absolute values) can be as high as 0.77. The reanalysis-based MSI estimates agree with satellite MSI results (average bias of 2.2 ? 103 km2 or 1.3% of the mean value).
    • Download: (3.991Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Variations of Climate, Surface Energy Budget, and Minimum Snow/Ice Extent over Canadian Arctic Landmass for 2000–16

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4262024
    Collections
    • Journal of Climate

    Show full item record

    contributor authorTrishchenko, Alexander P.
    contributor authorWang, Shusen
    date accessioned2019-09-19T10:08:38Z
    date available2019-09-19T10:08:38Z
    date copyright11/8/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-17-0198.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262024
    description abstractAbstractSnow and ice over land are important hydrological resources and sensitive indicators of climate change. The Moderate Resolution Imaging Spectroradiometer (MODIS) dataset at 250-m spatial resolution generated at the Canada Centre for Remote Sensing (CCRS) is used to derive the annual minimum snow and ice (MSI) extent over the Canadian Arctic landmass over a 17-yr time span (2000?16). The smallest MSI extent (1.53 ? 105 km2) was observed in 2012, the largest (2.09 ? 105 km2) was observed in 2013; the average value was 1.70 ? 105 km2. Several reanalyses and observational datasets are assessed to explain the derived MSI variations: the ERA-Interim reanalysis, North American Regional Reanalysis (NARR), Clouds and the Earth?s Radiant Energy System (CERES) radiative fluxes, and European Space Agency?s GlobSnow dataset. Comparison with the Randolph Glacier Inventory (RGI) showed two important facts: 1) the semipermanent snowpack in the Canadian Arctic that persists through the entire melting season is a significant component relative to the ice caps and glacier-covered areas (up to 36% or 5.58 ? 104 km2), and 2) the MSI variations are related to variations in the local climate dynamics such as warm season average temperature, energy fluxes, and snow cover. The correlation coefficients (absolute values) can be as high as 0.77. The reanalysis-based MSI estimates agree with satellite MSI results (average bias of 2.2 ? 103 km2 or 1.3% of the mean value).
    publisherAmerican Meteorological Society
    titleVariations of Climate, Surface Energy Budget, and Minimum Snow/Ice Extent over Canadian Arctic Landmass for 2000–16
    typeJournal Paper
    journal volume31
    journal issue3
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-17-0198.1
    journal fristpage1155
    journal lastpage1172
    treeJournal of Climate:;2017:;volume 031:;issue 003
    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