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    On the Foundation and Different Interpretations of Ensemble Sensitivity 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 007:;page 1689
    Author(s): Duc, Le; Kawabata, Takuya; Hotta, Daisuke
    Publisher: American Meteorological Society
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    A Cloud-Resolving 4DVAR Assimilation Experiment for a Local Heavy Rainfall Event in the Tokyo Metropolitan Area 

    Source: Monthly Weather Review:;2011:;volume( 139 ):;issue: 006:;page 1911
    Author(s): Kawabata, Takuya; Kuroda, Tohru; Seko, Hiromu; Saito, Kazuo
    Publisher: American Meteorological Society
    Abstract: cloud-resolving nonhydrostatic four-dimensional variational data assimilation system (NHM-4DVAR) was modified to directly assimilate radar reflectivity and applied to a data assimilation experiment using actual observations ...
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    Cloud-Resolving 4D-Var Assimilation of Doppler Wind Lidar Data on a Meso-Gamma-Scale Convective System 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 012:;page 4484
    Author(s): Kawabata, Takuya; Iwai, Hironori; Seko, Hiromu; Shoji, Yoshinori; Saito, Kazuo; Ishii, Shoken; Mizutani, Kohei
    Publisher: American Meteorological Society
    Abstract: he authors evaluated the effects of assimilating three-dimensional Doppler wind lidar (DWL) data on the forecast of the heavy rainfall event of 5 July 2010 in Japan, produced by an isolated mesoscale convective system (MCS) ...
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    Mesoscale Hybrid Data Assimilation System based on JMA Nonhydrostatic Model 

    Source: Monthly Weather Review:;2016:;volume( 144 ):;issue: 009:;page 3417
    Author(s): Ito, Kosuke; Kunii, Masaru; Kawabata, Takuya; Saito, Kazuo; Aonashi, Kazumasa; Duc, Le
    Publisher: American Meteorological Society
    Abstract: his paper discusses the benefits of using a hybrid ensemble Kalman filter and four-dimensional variational (4D-Var) data assimilation (DA) system rather than a 4D-Var system employing the National Meteorological Center ...
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