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    Biases and Skill of Four Two-Moment Bulk Microphysics Schemes in Convection-Allowing Forecasts for the 2018 Hazardous Weather Testbed Spring Forecasting Experiment Period 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 009:;page 1621
    Author(s): Johnson, Marcus; Xue, Ming; Jung, Youngsun
    Publisher: American Meteorological Society
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    Simulations of Polarimetric Radar Signatures of a Supercell Storm Using a Two-Moment Bulk Microphysics Scheme 

    Source: Journal of Applied Meteorology and Climatology:;2010:;volume( 049 ):;issue: 001:;page 146
    Author(s): Jung, Youngsun; Xue, Ming; Zhang, Guifu
    Publisher: American Meteorological Society
    Abstract: A new general polarimetric radar simulator for nonhydrostatic numerical weather prediction (NWP) models has been developed based on rigorous scattering calculations using the T-matrix method for reflectivity, differential ...
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    Ensemble Kalman Filter Analyses of the 29–30 May 2004 Oklahoma Tornadic Thunderstorm Using One- and Two-Moment Bulk Microphysics Schemes, with Verification against Polarimetric Radar Data 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 005:;page 1457
    Author(s): Jung, Youngsun; Xue, Ming; Tong, Mingjing
    Publisher: American Meteorological Society
    Abstract: he performance of ensemble Kalman filter (EnKF) analysis is investigated for the tornadic supercell on 29?30 May 2004 in Oklahoma using a dual-moment (DM) bulk microphysics scheme in the Advanced Regional Prediction System ...
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    Assimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 006:;page 2228
    Author(s): Jung, Youngsun; Zhang, Guifu; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: A radar simulator for polarimetric radar variables, including reflectivities at horizontal and vertical polarizations, the differential reflectivity, and the specific differential phase, has been developed. This simulator ...
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    Ensemble Probabilistic Forecasts of a Tornadic Mesoscale Convective System from Ensemble Kalman Filter Analyses Using WSR-88D and CASA Radar Data 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 007:;page 2126
    Author(s): Snook, Nathan; Xue, Ming; Jung, Youngsun
    Publisher: American Meteorological Society
    Abstract: his study examines the ability of a storm-scale numerical weather prediction (NWP) model to predict precipitation and mesovortices within a tornadic mesoscale convective system that occurred over Oklahoma on 8?9 May 2007, ...
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    Analysis of a Tornadic Mesoscale Convective Vortex Based on Ensemble Kalman Filter Assimilation of CASA X-Band and WSR-88D Radar Data 

    Source: Monthly Weather Review:;2011:;volume( 139 ):;issue: 011:;page 3446
    Author(s): Snook, Nathan; Xue, Ming; Jung, Youngsun
    Publisher: American Meteorological Society
    Abstract: ne of the goals of the National Science Foundation Engineering Research Center (ERC) for Collaborative Adaptive Sensing of the Atmosphere (CASA) is to improve storm-scale numerical weather prediction (NWP) by collecting ...
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    Simultaneous Estimation of Microphysical Parameters and the Atmospheric State Using Simulated Polarimetric Radar Data and an Ensemble Kalman Filter in the Presence of an Observation Operator Error 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 002:;page 539
    Author(s): Jung, Youngsun; Xue, Ming; Zhang, Guifu
    Publisher: American Meteorological Society
    Abstract: The impacts of polarimetric radar data on the estimation of uncertain microphysical parameters are investigated through observing system simulation experiments when the effects of uncertain parameters on the observation ...
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    Multiscale EnKF Assimilation of Radar and Conventional Observations and Ensemble Forecasting for a Tornadic Mesoscale Convective System 

    Source: Monthly Weather Review:;2014:;volume( 143 ):;issue: 004:;page 1035
    Author(s): Snook, Nathan; Xue, Ming; Jung, Youngsun
    Publisher: American Meteorological Society
    Abstract: n recent studies, the authors have successfully demonstrated the ability of an ensemble Kalman filter (EnKF), assimilating real radar observations, to produce skillful analyses and subsequent ensemble-based probabilistic ...
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    Explicit Ensemble Prediction of Hail in 19 May 2013 Oklahoma City Thunderstorms and Analysis of Hail Growth Processes with Several Multimoment Microphysics Schemes 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 004:;page 1193
    Author(s): Labriola, Jonathan; Snook, Nathan; Jung, Youngsun; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: AbstractHail forecast evaluations provide important insight into microphysical treatment of rimed ice. In this study we evaluate explicit 0?90-min EnKF-based storm-scale (500-m horizontal grid spacing) hail forecasts for ...
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    Prediction and Ensemble Forecast Verification of Hail in the Supercell Storms of 20 May 2013 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 003:;page 811
    Author(s): Snook, Nathan; Jung, Youngsun; Brotzge, Jerald; Putnam, Bryan; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: espite recent advances in storm-scale ensemble NWP, short-term (0?90 min) explicit forecasts of severe hail remain a major challenge as a result of the fast evolution and short time scales of hail-producing convective ...
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