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    Influence of Subgrid Variability on Surface Hydrology

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 012::page 3157
    Author:
    Ghan, S. J.
    ,
    Liljegren, J. C.
    ,
    Shaw, W. J.
    ,
    Hubbe, J. H.
    ,
    Doran, J. C.
    DOI: 10.1175/1520-0442(1997)010<3157:IOSVOS>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A 6.25-km resolution dataset of meteorology, vegetation type, and soil type for a domain covering a typical global climate model grid cell is used to drive a land surface physics model for a period of 6 months. Additional simulations are performed driving the land surface physics model by spatially averaged meteorology, spatially averaged vegetation characteristics, spatially averaged soil properties, and spatially averaged meteorology, vegetation characteristics, and soil properties. By comparing the simulated water balance for the whole domain for each simulation, the relative influence of subgrid variability in meteorology, vegetation, and soil are assessed. Subgrid variability in summertime precipitation is found to have the largest effect on the surface hydrology, with a nearly twofold increase on surface runoff and a 15% increase in evapotranspiration. Subgrid variations in vegetation and soil properties also increase surface runoff and reduce evapotranspiration, so that surface runoff is 2.75 times as great with subgrid variability than without and evapotranspiration is 19% higher with subgrid variability than without.
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      Influence of Subgrid Variability on Surface Hydrology

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4188434
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    • Journal of Climate

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    contributor authorGhan, S. J.
    contributor authorLiljegren, J. C.
    contributor authorShaw, W. J.
    contributor authorHubbe, J. H.
    contributor authorDoran, J. C.
    date accessioned2017-06-09T15:37:37Z
    date available2017-06-09T15:37:37Z
    date copyright1997/12/01
    date issued1997
    identifier issn0894-8755
    identifier otherams-4903.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4188434
    description abstractA 6.25-km resolution dataset of meteorology, vegetation type, and soil type for a domain covering a typical global climate model grid cell is used to drive a land surface physics model for a period of 6 months. Additional simulations are performed driving the land surface physics model by spatially averaged meteorology, spatially averaged vegetation characteristics, spatially averaged soil properties, and spatially averaged meteorology, vegetation characteristics, and soil properties. By comparing the simulated water balance for the whole domain for each simulation, the relative influence of subgrid variability in meteorology, vegetation, and soil are assessed. Subgrid variability in summertime precipitation is found to have the largest effect on the surface hydrology, with a nearly twofold increase on surface runoff and a 15% increase in evapotranspiration. Subgrid variations in vegetation and soil properties also increase surface runoff and reduce evapotranspiration, so that surface runoff is 2.75 times as great with subgrid variability than without and evapotranspiration is 19% higher with subgrid variability than without.
    publisherAmerican Meteorological Society
    titleInfluence of Subgrid Variability on Surface Hydrology
    typeJournal Paper
    journal volume10
    journal issue12
    journal titleJournal of Climate
    identifier doi10.1175/1520-0442(1997)010<3157:IOSVOS>2.0.CO;2
    journal fristpage3157
    journal lastpage3166
    treeJournal of Climate:;1997:;volume( 010 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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