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    Forecasting Tornadoes Using Convection-Permitting Ensembles 

    Source: Weather and Forecasting:;2016:;volume( 031 ):;issue: 001:;page 273
    Author(s): Gallo, Burkely T.; Clark, Adam J.; Dembek, Scott R.
    Publisher: American Meteorological Society
    Abstract: ourly maximum fields of simulated storm diagnostics from experimental versions of convection-permitting models (CPMs) provide valuable information regarding severe weather potential. While past studies have focused on ...
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    Just What Is “Good”? Musings on Hail Forecast Verification through Evaluation of FV3-HAILCAST Hail Forecasts 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002
    Author(s): Adams-Selin, Rebecca D.; Kalb, Christina; Jensen, Tara; Henderson, John; Supinie, Tim; Harris, Lucas; Wang, Yunheng; Gallo, Burkely T.; Clark, Adam J.
    Publisher: American Meteorological Society
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    Analysis of End User Access of Warn-on-Forecast Guidance Products during an Experimental Forecasting Task 

    Source: Weather, Climate, and Society:;2021:;volume( 013 ):;issue: 004:;page 859
    Author(s): Wilson, Katie A.;Gallo, Burkely T.;Skinner, Patrick;Clark, Adam;Heinselman, Pamela;Choate, Jessica J.
    Publisher: American Meteorological Society
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    Model Configuration versus Driving Model: Influences on Next-Day Regional Convection-Allowing Model Forecasts during a Real-Time Experiment 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 001
    Author(s): Roberts, Brett; Clark, Adam J.; Jirak, Israel L.; Gallo, Burkely T.; Bain, Caroline; Flack, David L. A.; Warner, James; Schwartz, Craig S.; Reames, Larissa J.
    Publisher: American Meteorological Society
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    WoFS and the Wisdom of the Crowd: The Impact of the Warn-on-Forecast System on Hourly Forecasts during the 2021 NOAA Hazardous Weather Testbed Spring Forecasting Experiment 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 003:;page 485
    Author(s): Gallo, Burkely T.; Clark, Adam J.; Jirak, Israel; Imy, David; Roberts, Brett; Vancil, Jacob; Knopfmeier, Kent; Burke, Patrick
    Publisher: American Meteorological Society
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    Just What Is “Good”? Musings on Hail Forecast Verification through Evaluation of FV3-HAILCAST Hail Forecasts 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002:;page 371
    Author(s): Adams-Selin, Rebecca D.; Kalb, Christina; Jensen, Tara; Henderson, John; Supinie, Tim; Harris, Lucas; Wang, Yunheng; Gallo, Burkely T.; Clark, Adam J.
    Publisher: American Meteorological Society
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    Incorporating UH Occurrence Time to Ensemble-Derived Tornado Probabilities 

    Source: Weather and Forecasting:;2018:;volume 034:;issue 001:;page 151
    Author(s): Gallo, Burkely T.; Clark, Adam J.; Smith, Bryan T.; Thompson, Richard L.; Jirak, Israel; Dembek, Scott R.
    Publisher: American Meteorological Society
    Abstract: Probabilistic ensemble-derived tornado forecasts generated from convection-allowing models often use hourly maximum updraft helicity (UH) alone or in combination with environmental parameters as a proxy for right-moving ...
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    What Does a Convection-Allowing Ensemble of Opportunity Buy Us in Forecasting Thunderstorms? 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 006:;page 2293
    Author(s): Roberts, Brett;Gallo, Burkely T.;Jirak, Israel L.;Clark, Adam J.;Dowell, David C.;Wang, Xuguang;Wang, Yongming
    Publisher: American Meteorological Society
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    Blended Probabilistic Tornado Forecasts: Combining Climatological Frequencies with NSSL–WRF Ensemble Forecasts 

    Source: Weather and Forecasting:;2018:;volume 033:;issue 002:;page 443
    Author(s): Gallo, Burkely T.; Clark, Adam J.; Smith, Bryan T.; Thompson, Richard L.; Jirak, Israel; Dembek, Scott R.
    Publisher: American Meteorological Society
    Abstract: AbstractAttempts at probabilistic tornado forecasting using convection-allowing models (CAMs) have thus far used CAM attribute [e.g., hourly maximum 2?5-km updraft helicity (UH)] thresholds, treating them as binary ...
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    Initial Development and Testing of a Convection-Allowing Model Scorecard 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( 100 ):;issue: 012:;page ES367
    Author(s): Gallo, Burkely T.;Kalb, Christina P.;Gotway, John Halley;Fisher, Henry H.;Roberts, Brett;Jirak, Israel L.;Clark, Adam J.;Alexander, Curtis;Jensen, Tara L.
    Publisher: American Meteorological Society
    Abstract: Evaluation of numerical weather prediction (NWP) is critical for both forecasters and researchers. Through such evaluation, forecasters can understand the strengths and weaknesses of NWP guidance, and researchers can work ...
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