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    Data Assimilation with Gaussian Mixture Models Using the Dynamically Orthogonal Field Equations. Part II: Applications 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 006:;page 1761
    Author(s): Sondergaard, Thomas; Lermusiaux, Pierre F. J.
    Publisher: American Meteorological Society
    Abstract: he properties and capabilities of the Gaussian Mixture Model?Dynamically Orthogonal filter (GMM-DO) are assessed and exemplified by applications to two dynamical systems: 1) the double well diffusion and 2) sudden expansion ...
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    Data Assimilation with Gaussian Mixture Models Using the Dynamically Orthogonal Field Equations. Part I: Theory and Scheme 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 006:;page 1737
    Author(s): Sondergaard, Thomas; Lermusiaux, Pierre F. J.
    Publisher: American Meteorological Society
    Abstract: his work introduces and derives an efficient, data-driven assimilation scheme, focused on a time-dependent stochastic subspace that respects nonlinear dynamics and captures non-Gaussian statistics as it occurs. The motivation ...
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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