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    Variance-Based Sensitivity Analysis: Preliminary Results in COAMPS 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 005:;page 2028
    Author(s): Marzban, Caren; Sandgathe, Scott; Doyle, James D.; Lederer, Nicholas C.
    Publisher: American Meteorological Society
    Abstract: umerical weather prediction models have a number of parameters whose values are either estimated from empirical data or theoretical calculations. These values are usually then optimized according to some criterion (e.g., ...
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    Three Spatial Verification Techniques: Cluster Analysis, Variogram, and Optical Flow 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 006:;page 1457
    Author(s): Marzban, Caren; Sandgathe, Scott; Lyons, Hilary; Lederer, Nicholas
    Publisher: American Meteorological Society
    Abstract: Three spatial verification techniques are applied to three datasets. The datasets consist of a mixture of real and artificial forecasts, and corresponding observations, designed to aid in better understanding the effects ...
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    Sensitivity Analysis of the Spatial Structure of Forecasts in Mesoscale Models: Continuous Model Parameters 

    Source: Monthly Weather Review:;2018:;volume 146:;issue 004:;page 967
    Author(s): Marzban, Caren; Du, Xiaochuan; Sandgathe, Scott; Doyle, James D.; Jin, Yi; Lederer, Nicholas C.
    Publisher: American Meteorological Society
    Abstract: AbstractA methodology is proposed for examining the effect of model parameters (assumed to be continuous) on the spatial structure of forecasts. The methodology involves several statistical methods of sampling and inference ...
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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
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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