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    Ensemble Probabilistic Prediction of a Mesoscale Convective System and Associated Polarimetric Radar Variables using Single-Moment and Double-Moment Microphysics Schemes and EnKF Radar Data Assimilation 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 006:;page 2257
    Author(s): Putnam, Bryan J.; Xue, Ming; Jung, Youngsun; Snook, Nathan A.; Zhang, Guifu
    Publisher: American Meteorological Society
    Abstract: nsemble-based probabilistic forecasts are performed for a mesoscale convective system (MCS) that occurred over Oklahoma on 8-9 May 2007, initialized from ensemble Kalman filter analyses using multi-network radar data and ...
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    Simulation of Polarimetric Radar Variables from 2013 CAPS Spring Experiment Storm-Scale Ensemble Forecasts and Evaluation of Microphysics Schemes 

    Source: Monthly Weather Review:;2016:;volume( 145 ):;issue: 001:;page 49
    Author(s): Putnam, Bryan J.; Xue, Ming; Jung, Youngsun; Zhang, Guifu; Kong, Fanyou
    Publisher: American Meteorological Society
    Abstract: olarimetric radar variables are simulated from members of the 2013 Center for Analysis and Prediction of Storms (CAPS) Storm-Scale Ensemble Forecasts (SSEF) with varying microphysics (MP) schemes and compared with observations. ...
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    The Analysis and Prediction of Microphysical States and Polarimetric Radar Variables in a Mesoscale Convective System Using Double-Moment Microphysics, Multinetwork Radar Data, and the Ensemble Kalman Filter 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 001:;page 141
    Author(s): Putnam, Bryan J.; Xue, Ming; Jung, Youngsun; Snook, Nathan; Zhang, Guifu
    Publisher: American Meteorological Society
    Abstract: oppler radar data are assimilated with an ensemble Kalman Filter (EnKF) in combination with a double-moment (DM) microphysics scheme in order to improve the analysis and forecast of microphysical states and precipitation ...
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    The Impact of Assimilating ZDR Observations on Storm-Scale Ensemble Forecasts of the 31 May 2013 Oklahoma Storm Event 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 006:;page 1919
    Author(s): Putnam, Bryan J.;Jung, Youngsun;Yussouf, Nusrat;Stratman, Derek;Supinie, Timothy A.;Xue, Ming;Kuster, Charles;Labriola, Jonathan
    Publisher: American Meteorological Society
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