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    Sensitivity of Convection-Allowing Forecasts to Land Surface Model Perturbations and Implications for Ensemble Design 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 005:;page 2001
    Author(s): Duda, Jeffrey D.; Wang, Xuguang; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: n this exploratory study, a series of perturbations to the land surface model (LSM) component of the Weather Research and Forecasting (WRF) Model was developed to investigate the sensitivity of forecasts of severe thunderstorms ...
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    Spring and Summer Midwestern Severe Weather Reports in Supercells Compared to Other Morphologies 

    Source: Weather and Forecasting:;2010:;volume( 025 ):;issue: 001:;page 190
    Author(s): Duda, Jeffrey D.; Gallus, William A.
    Publisher: American Meteorological Society
    Abstract: This study compares severe weather reports associated with the nine convective system morphologies used in a recent study by Gallus et al. to an additional morphology, supercell storms. As in that previous study, all ...
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    The Impact of Large-Scale Forcing on Skill of Simulated Convective Initiation and Upscale Evolution with Convection-Allowing Grid Spacings in the WRF 

    Source: Weather and Forecasting:;2013:;volume( 028 ):;issue: 004:;page 994
    Author(s): Duda, Jeffrey D.; Gallus, William A.
    Publisher: American Meteorological Society
    Abstract: set of mesoscale convective systems (MCSs) was simulated using the Weather Research and Forecasting model with 3-km grid spacing to investigate the skill at predicting convective initiation and upscale evolution into an ...
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    Large-Sample Application of Radar Reflectivity Object-Based Verification to Evaluate HRRR Warm-Season Forecasts 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 003:;page 805
    Author(s): Duda, Jeffrey D.;Turner, David D.
    Publisher: American Meteorological Society
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    Using Object-Based Verification to Assess Improvements in Forecasts of Convective Storms between Operational HRRR Versions 3 and 4 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 010:;page 1971
    Author(s): Duda, Jeffrey D.; Turner, David D.
    Publisher: American Meteorological Society
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    Using Varied Microphysics to Account for Uncertainty in Warm-Season QPF in a Convection-Allowing Ensemble 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 006:;page 2198
    Author(s): Duda, Jeffrey D.; Wang, Xuguang; Kong, Fanyou; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: wo approaches for accounting for errors in quantitative precipitation forecasts (QPFs) due to uncertainty in the microphysics (MP) parameterization in a convection-allowing ensemble are examined. They include mixed MP (MMP) ...
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    Impact of a Stochastic Kinetic Energy Backscatter Scheme on Warm Season Convection-Allowing Ensemble Forecasts 

    Source: Monthly Weather Review:;2015:;volume( 144 ):;issue: 005:;page 1887
    Author(s): Duda, Jeffrey D.; Wang, Xuguang; Kong, Fanyou; Xue, Ming; Berner, Judith
    Publisher: American Meteorological Society
    Abstract: he efficacy of a stochastic kinetic energy backscatter (SKEB) scheme to improve convection-allowing probabilistic forecasts was studied. While SKEB has been explored for coarse, convection-parameterizing models, studies ...
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    Comparing the Assimilation of Radar Reflectivity Using the Direct GSI-Based Ensemble–Variational (EnVar) and Indirect Cloud Analysis Methods in Convection-Allowing Forecasts over the Continental United States 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 005:;page 1655
    Author(s): Duda, Jeffrey D.; Wang, Xuguang; Wang, Yongming; Carley, Jacob R.
    Publisher: American Meteorological Society
    Abstract: AbstractTwo methods for assimilating radar reflectivity into deterministic convection-allowing forecasts were compared: an operationally used, computationally less expensive cloud analysis (CA) scheme and a relatively more ...
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