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    Ensemble Model Output Statistics for Wind Vectors 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 010:;page 3204
    Author(s): Schuhen, Nina; Thorarinsdottir, Thordis L.; Gneiting, Tilmann
    Publisher: American Meteorological Society
    Abstract: bivariate ensemble model output statistics (EMOS) technique for the postprocessing of ensemble forecasts of two-dimensional wind vectors is proposed, where the postprocessed probabilistic forecast takes the form of a ...
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    Spatial Postprocessing of Ensemble Forecasts for Temperature Using Nonhomogeneous Gaussian Regression 

    Source: Monthly Weather Review:;2014:;volume( 143 ):;issue: 003:;page 955
    Author(s): Feldmann, Kira; Scheuerer, Michael; Thorarinsdottir, Thordis L.
    Publisher: American Meteorological Society
    Abstract: tatistical postprocessing techniques are commonly used to improve the skill of ensembles from numerical weather forecasts. This paper considers spatial extensions of the well-established nonhomogeneous Gaussian regression ...
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    Probabilistic Wind Gust Forecasting Using Nonhomogeneous Gaussian Regression 

    Source: Monthly Weather Review:;2011:;volume( 140 ):;issue: 003:;page 889
    Author(s): Thorarinsdottir, Thordis L.; Johnson, Matthew S.
    Publisher: American Meteorological Society
    Abstract: joint probabilistic forecasting framework is proposed for maximum wind speed, the probability of gust, and, conditional on gust being observed, the maximum gust speed in a setting where only the maximum wind speed forecast ...
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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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