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    An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part III: Antarctic Applications with Advanced Research WRF Using Real Data 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 008:;page 2721
    Author(s): Liu, Chengsi; Xiao, Qingnong
    Publisher: American Meteorological Society
    Abstract: four-dimensional ensemble-based variational data assimilation (4DEnVar) algorithm proposed in Part I of the 4DEnVar series (denoted En4DVar in Part I, but here we refer to it as 4DEnVar according to WMO conference ...
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    An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary Test 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 009:;page 3363
    Author(s): Liu, Chengsi; Xiao, Qingnong; Wang, Bin
    Publisher: American Meteorological Society
    Abstract: Applying a flow-dependent background error covariance (? matrix) in variational data assimilation has been a topic of interest among researchers in recent years. In this paper, an ensemble-based four-dimensional variational ...
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    An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part II: Observing System Simulation Experiments with Advanced Research WRF (ARW) 

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 005:;page 1687
    Author(s): Liu, Chengsi; Xiao, Qingnong; Wang, Bin
    Publisher: American Meteorological Society
    Abstract: An ensemble-based four-dimensional variational data assimilation (En4DVAR) algorithm and its performance in a low-dimension space with a one-dimensional shallow-water model have been presented in Part I. This algorithm ...
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    Development of a Hybrid En3DVar Data Assimilation System and Comparisons with 3DVar and EnKF for Radar Data Assimilation with Observing System Simulation Experiments 

    Source: Monthly Weather Review:;2017:;volume 146:;issue 001:;page 175
    Author(s): Kong, Rong; Xue, Ming; Liu, Chengsi
    Publisher: American Meteorological Society
    Abstract: AbstractA hybrid ensemble?3DVar (En3DVar) system is developed and compared with 3DVar, EnKF, ?deterministic forecast? EnKF (DfEnKF), and pure En3DVar for assimilating radar data through perfect-model observing system ...
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    Direct Assimilation of Radar Reflectivity Data Using 3DVAR: Treatment of Hydrometeor Background Errors and OSSE Tests 

    Source: Monthly Weather Review:;2018:;volume 147:;issue 001:;page 17
    Author(s): Liu, Chengsi; Xue, Ming; Kong, Rong
    Publisher: American Meteorological Society
    Abstract: Despite the well-known importance of background error covariance in data assimilation, not much study has been focused on its impact on the assimilation of radar reflectivity within a three-dimensional variational (3DVar) ...
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    Comparisons of Hybrid En3DVar with 3DVar and EnKF for Radar Data Assimilation: Tests with the 10 May 2010 Oklahoma Tornado Outbreak 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 001:;page 21
    Author(s): Kong, Rong;Xue, Ming;Liu, Chengsi;Jung, Youngsun
    Publisher: American Meteorological Society
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    Evaluating Forecast Performance and Sensitivity to the GSI EnKF Data Assimilation Configuration for the 28–29 May 2017 Mesoscale Convective System Case 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 001:;page 127
    Author(s): Labriola, Jonathan;Jung, Youngsun;Liu, Chengsi;Xue, Ming
    Publisher: American Meteorological Society
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    Development of Multiscale EnKF within GSI and Its Applications to Multiple Convective Storm Cases with Radar Reflectivity Data Assimilation Using the FV3 Limited-Area Model 

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 008:;page 1839
    Author(s): Tong, Chong-Chi; Xue, Ming; Liu, Chengsi; Luo, Jingyao; Jung, Youngsun
    Publisher: American Meteorological Society
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    Use of Power Transform Mixing Ratios as Hydrometeor Control Variables for Direct Assimilation of Radar Reflectivity in GSI En3DVar and Tests with Five Convective Storm Cases 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 003:;page 645
    Author(s): Chen, Lianglyu;Liu, Chengsi;Xue, Ming;Zhao, Gang;Kong, Rong;Jung, Youngsun
    Publisher: American Meteorological Society
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    Test of Power Transformation Function to Hydrometeor and Water Vapor Mixing Ratios for Direct Variational Assimilation of Radar Reflectivity Data 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 010:;page 1995
    Author(s): Hu, Jiafen; Gao, Jidong; Liu, Chengsi; Zhang, Guifu; Heinselman, Pamela; Carlin, Jacob T.
    Publisher: American Meteorological Society
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