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    Impact of Removing Covariance Localization in an Ensemble Kalman Filter: Experiments with 10 240 Members Using an Intermediate AGCM 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 012:;page 4849
    Author(s): Kondo, Keiichi; Miyoshi, Takemasa
    Publisher: American Meteorological Society
    Abstract: he ensemble Kalman filter (EnKF) with high-dimensional geophysical systems usually employs up to 100 ensemble members and requires covariance localization to reduce the sampling error in the forecast error covariance between ...
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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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