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    Radar Data Assimilation in the Canadian High-Resolution Ensemble Kalman Filter System: Performance and Verification with Real Summer Cases 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 006:;page 2118
    Author(s): Chang, Weiguang; Chung, Kao-Shen; Fillion, Luc; Baek, Seung-Jong
    Publisher: American Meteorological Society
    Abstract: n 80-member high-resolution ensemble Kalman filter (HREnKF) is implemented for assimilating radar observations with the Canadian Meteorological Center?s (CMC?s) Global Environmental Multiscale Limited-Area Model (GEM-LAM). ...
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    Examination of Situation-Dependent Background Error Covariances at the Convective Scale in the Context of the Ensemble Kalman Filter 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 010:;page 3369
    Author(s): Chung, Kao-Shen; Chang, Weiguang; Fillion, Luc; Tanguay, Monique
    Publisher: American Meteorological Society
    Abstract: high-resolution ensemble Kalman filter (HREnKF) system at the convective scale has been developed based on the Canadian Meteorological Center's operational global ensemble Kalman filter (EnKF) system. This study focuses ...
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    Developing a Convective-Scale EnKF Data Assimilation System for the Canadian MEOPAR Project 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 004:;page 1473
    Author(s): Jacques, Dominik; Chang, Weiguang; Baek, Seung-Jong; Milewski, Thomas; Fillion, Luc; Chung, Kao-Shen; Ritchie, Harold
    Publisher: American Meteorological Society
    Abstract: his study discusses the construction of a high-resolution ensemble Kalman filter system (the HREnKF) developed for the Marine Environmental Observation Prediction and Response (MEOPAR) network. The HREnKF runs at a horizontal ...
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