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    Forecast Applications of GLM Gridded Products: A Data Fusion Perspective 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 011:;page 2253
    Author(s): Thiel, Kevin C.; Calhoun, Kristin M.; Reinhart, Anthony E.
    Publisher: American Meteorological Society
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    Using Machine Learning to Predict Convection-Allowing Ensemble Forecast Skill: Evaluation with the NSSL Warn-on-Forecast System 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Potvin, Corey K.; Flora, Montgomery L.; Skinner, Patrick S.; Reinhart, Anthony E.; Matilla, Brian C.
    Publisher: American Meteorological Society
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    Understanding How Complex Terrain Impacts Tornado Dynamics Using a Suite of High-Resolution Numerical Simulations 

    Source: Journal of the Atmospheric Sciences:;2020:;volume( 077 ):;issue: 010:;page 3277
    Author(s): Satrio, Martin A.;Bodine, David J.;Reinhart, Anthony E.;Maruyama, Takashi;Lombardo, Franklin T.
    Publisher: American Meteorological Society
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    The Vice and Virtue of Increased Horizontal Resolution in Ensemble Forecasts of Tornadic Thunderstorms in Low-CAPE, High-Shear Environments 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 004:;page 921
    Author(s): Lawson, John R.;Potvin, Corey K.;Skinner, Patrick S.;Reinhart, Anthony E.
    Publisher: American Meteorological Society
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    COMPREHENSIVE RADAR DATA FOR THE CONTIGUOUS UNITED STATES: MULTI-YEAR REANALYSIS OF REMOTELY SENSED STORMS 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( ):;issue:
    Author(s): Williams, Skylar S.;Ortega, Kiel L.;Smith, Travis M.;Reinhart, Anthony E.
    Publisher: American Meteorological Society
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    In Situ and Radar Observations of the Low Reflectivity Ribbon in Supercells during VORTEX2 

    Source: Monthly Weather Review:;2017:;volume 146:;issue 001:;page 307
    Author(s): Griffin, Casey B.; Weiss, Christopher C.; Reinhart, Anthony E.; Snyder, Jeffrey C.; Bluestein, Howard B.; Wurman, Joshua; Kosiba, Karen A.
    Publisher: American Meteorological Society
    Abstract: AbstractDuring the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) field campaign, mobile radars observed a previously undocumented feature: the low-reflectivity ribbon (LRR). The LRR was ...
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    A Comparison of Near-Surface Buoyancy and Baroclinity across Three VORTEX2 Supercell Intercepts 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 007:;page 2736
    Author(s): Weiss, Christopher C.; Dowell, David C.; Schroeder, John L.; Skinner, Patrick S.; Reinhart, Anthony E.; Markowski, Paul M.; Richardson, Yvette P.
    Publisher: American Meteorological Society
    Abstract: bservations obtained during the second Verification of the Origin of Rotation in Tornadoes Experiment (VORTEX2) are analyzed for three supercell intercepts. These intercepts used a fleet of deployable ?StickNet? probes, ...
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    The Tornado Probability Algorithm: A Probabilistic Machine Learning Tornadic Circulation Detection Algorithm 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 003:;page 445
    Author(s): Sandmæl, Thea N.; Smith, Brandon R.; Reinhart, Anthony E.; Schick, Isaiah M.; Ake, Marcus C.; Madden, Jonathan G.; Steeves, Rebecca B.; Williams, Skylar S.; Elmore, Kimberly L.; Meyer, Tiffany C.
    Publisher: American Meteorological Society
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    Object-Based Verification of a Prototype Warn-on-Forecast System 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 005:;page 1225
    Author(s): Skinner, Patrick S.; Wheatley, Dustan M.; Knopfmeier, Kent H.; Reinhart, Anthony E.; Choate, Jessica J.; Jones, Thomas A.; Creager, Gerald J.; Dowell, David C.; Alexander, Curtis R.; Ladwig, Therese T.; Wicker, Louis J.; Heinselman, Pamela L.; Minnis, Patrick; Palikonda, Rabindra
    Publisher: American Meteorological Society
    Abstract: AbstractAn object-based verification methodology for the NSSL Experimental Warn-on-Forecast System for ensembles (NEWS-e) has been developed and applied to 32 cases between December 2015 and June 2017. NEWS-e forecast ...
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    The Tornado Probability Algorithm: A Probabilistic Machine Learning Tornadic Circulation Detection Algorithm 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 003
    Author(s): Sandmæl, Thea N.; Smith, Brandon R.; Reinhart, Anthony E.; Schick, Isaiah M.; Ake, Marcus C.; Madden, Jonathan G.; Steeves, Rebecca B.; Williams, Skylar S.; Elmore, Kimberly L.; Meyer, Tiffany C.
    Publisher: American Meteorological Society
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