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    The Potential for Self-Organizing Maps to Identify Model Error Structures 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 004:;page 1688
    Author(s): Kolczynski, Walter C.; Hacker, Joshua P.
    Publisher: American Meteorological Society
    Abstract: n important aspect of numerical weather model improvement is the identification of deficient areas of the model, particularly deficiencies that are flow dependent or otherwise vary in time or space. Here the authors introduce ...
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    Ensemble Variance Calibration for Representing Meteorological Uncertainty for Atmospheric Transport and Dispersion Modeling 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 010:;page 2001
    Author(s): Kolczynski, Walter C.; Stauffer, David R.; Haupt, Sue Ellen; Deng, Aijun
    Publisher: American Meteorological Society
    Abstract: In the event of the release of a dangerous atmospheric contaminant, an atmospheric transport and dispersion (ATD) model is often used to provide forecasts of the resulting contaminant dispersion affecting the population. ...
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    Investigation of Ensemble Variance as a Measure of True Forecast Variance 

    Source: Monthly Weather Review:;2011:;volume( 139 ):;issue: 012:;page 3954
    Author(s): Kolczynski, Walter C.; Stauffer, David R.; Haupt, Sue Ellen; Altman, Naomi S.; Deng, Aijun
    Publisher: American Meteorological Society
    Abstract: he uncertainty in meteorological predictions is of interest for applications ranging from economic to recreational to public safety. One common method to estimate uncertainty is by using meteorological ensembles. These ...
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    An Objective Methodology for Configuring and Down-Selecting an NWP Ensemble for Low-Level Wind Prediction 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 007:;page 2270
    Author(s): Lee, Jared A.; Kolczynski, Walter C.; McCandless, Tyler C.; Haupt, Sue Ellen
    Publisher: American Meteorological Society
    Abstract: nsembles of numerical weather prediction (NWP) model predictions are used for a variety of forecasting applications. Such ensembles quantify the uncertainty of the prediction because the spread in the ensemble predictions ...
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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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