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    Soil Moisture Memory in Climate Models

    Source: Journal of Hydrometeorology:;2001:;Volume( 002 ):;issue: 006::page 558
    Author:
    Koster, Randal D.
    ,
    Suarez, Max J.
    DOI: 10.1175/1525-7541(2001)002<0558:SMMICM>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Water balance considerations at the soil surface lead to an equation that relates the autocorrelation of soil moisture in climate models to 1) seasonality in the statistics of the atmospheric forcing, 2) the variation of evaporation with soil moisture, 3) the variation of runoff with soil moisture, and 4) correlation between the atmospheric forcing and antecedent soil moisture, as perhaps induced by land?atmosphere feedback. Geographical variations in the relative strengths of these factors, which can be established through analysis of model diagnostics, lead to geographical variations in simulated soil moisture memory. The use of the equation to characterize controls on soil moisture memory is demonstrated with data from the modeling system of the National Aeronautics and Space Administration Seasonal-to-Interannual Prediction Project.
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      Soil Moisture Memory in Climate Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4206187
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    • Journal of Hydrometeorology

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    contributor authorKoster, Randal D.
    contributor authorSuarez, Max J.
    date accessioned2017-06-09T16:17:10Z
    date available2017-06-09T16:17:10Z
    date copyright2001/12/01
    date issued2001
    identifier issn1525-755X
    identifier otherams-65009.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4206187
    description abstractWater balance considerations at the soil surface lead to an equation that relates the autocorrelation of soil moisture in climate models to 1) seasonality in the statistics of the atmospheric forcing, 2) the variation of evaporation with soil moisture, 3) the variation of runoff with soil moisture, and 4) correlation between the atmospheric forcing and antecedent soil moisture, as perhaps induced by land?atmosphere feedback. Geographical variations in the relative strengths of these factors, which can be established through analysis of model diagnostics, lead to geographical variations in simulated soil moisture memory. The use of the equation to characterize controls on soil moisture memory is demonstrated with data from the modeling system of the National Aeronautics and Space Administration Seasonal-to-Interannual Prediction Project.
    publisherAmerican Meteorological Society
    titleSoil Moisture Memory in Climate Models
    typeJournal Paper
    journal volume2
    journal issue6
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/1525-7541(2001)002<0558:SMMICM>2.0.CO;2
    journal fristpage558
    journal lastpage570
    treeJournal of Hydrometeorology:;2001:;Volume( 002 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian