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    Application of a Dynamic-Stochastic Approach to Short-Term Forecasting of the Atmospheric Boundary Layer 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 012:;page 4507
    Author(s): Komarov, V. S.; Lavrinenko, A. V.; Lomakina, N. Ya.; Il’in, S. N.
    Publisher: American Meteorological Society
    Abstract: two-dimensional, dynamic-stochastic model presented in this study is used for short-term forecasting of vertical profiles of air temperature and wind velocity orthogonal components in the atmospheric boundary layer (ABL). ...
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    New Method of Spatial Extrapolation of Meteorological Fields on the Mesoscale Level Using a Kalman Filter Algorithm for a Four-Dimensional Dynamic–Stochastic Model 

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 002:;page 182
    Author(s): Komarov, V. S.; Lavrinenko, A. V.; Kreminskii, A. V.; Lomakina, N. Ya; Popov, Yu B.; Popova, A. I.
    Publisher: American Meteorological Society
    Abstract: A new method and an algorithm of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The algorithm uses a linear Kalman filter for a four-dimensional dynamic?stochastic ...
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    Estimation and Extrapolation of the Atmospheric State Parameters on the Mesoscale Level Using a Kalman Filter Algorithm 

    Source: Journal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 003:;page 488
    Author(s): Komarov, V. S.; Il'in, S. N.; Kreminskii, A. V.; Lomakina, N. Ya; Popov, Yu B.; Popova, A. I.; Suvorov, S. S.
    Publisher: American Meteorological Society
    Abstract: A methodology and algorithms of spatial extrapolation of mesometeorological fields to a territory uncovered with observations are suggested. The atmospheric state and parameters are estimated using an extended Kalman filter ...
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