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    A Climatology of Operational Storm-Based Warnings: A Geospatial Analysis 

    Source: Weather and Forecasting:;2016:;volume( 032 ):;issue: 001:;page 47
    Author(s): Harrison, David R.; Karstens, Christopher D.
    Publisher: American Meteorological Society
    Abstract: his study provides a quantitative climatological analysis of the fundamental geospatial components of storm-based warnings and offers insight into how the National Weather Service (NWS) uses the current storm-based warning ...
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    The Bowdle, South Dakota, Cyclic Tornadic Supercell of 22 May 2010: Surface Analysis of Rear-Flank Downdraft Evolution and Multiple Internal Surges 

    Source: Monthly Weather Review:;2012:;volume( 140 ):;issue: 011:;page 3419
    Author(s): Lee, Bruce D.; Finley, Catherine A.; Karstens, Christopher D.
    Publisher: American Meteorological Society
    Abstract: obile mesonet sampling in the hook echo/rear-flank downdraft (RFD) region of a tornadic supercell near Bowdle, South Dakota, provided the opportunity to examine RFD thermodynamic and kinematic attributes and evolution. ...
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    Generating Probabilistic Next-Day Severe Weather Forecasts from Convection-Allowing Ensembles Using Random Forests 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 004:;page 1605
    Author(s): Loken, Eric D.;Clark, Adam J.;Karstens, Christopher D.
    Publisher: American Meteorological Society
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    Analysis of Tornado-Induced Tree Fall Using Aerial Photography from the Joplin, Missouri, and Tuscaloosa–Birmingham, Alabama, Tornadoes of 2011 

    Source: Journal of Applied Meteorology and Climatology:;2013:;volume( 052 ):;issue: 005:;page 1049
    Author(s): Karstens, Christopher D.; Gallus, William A.; Lee, Bruce D.; Finley, Catherine A.
    Publisher: American Meteorological Society
    Abstract: n this study, aerial imagery of tornado damage is used to digitize the falling direction of trees (i.e., tree fall) along the 22 May 2011 Joplin, Missouri, and 27 April 2011 Tuscaloosa?Birmingham, Alabama, tornado tracks. ...
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    Near-Ground Pressure and Wind Measurements in Tornadoes 

    Source: Monthly Weather Review:;2010:;volume( 138 ):;issue: 007:;page 2570
    Author(s): Karstens, Christopher D.; Samaras, Timothy M.; Lee, Bruce D.; Gallus, William A.; Finley, Catherine A.
    Publisher: American Meteorological Society
    Abstract: Since the spring of 2002, tornadoes were sampled on nine occasions using Hardened In-Situ Tornado Pressure Recorder probes, video probes, and mobile mesonet instrumentation. This study describes pressure and, in some cases, ...
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    WSR-88D Tornado Intensity Estimates. Part II: Real-Time Applications to Tornado Warning Time Scales 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 006:;page 2493
    Author(s): Smith, Bryan T.;Thompson, Richard L.;Speheger, Douglas A.;Dean, Andrew R.;Karstens, Christopher D.;Anderson-Frey, Alexandra K.
    Publisher: American Meteorological Society
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    WSR-88D Tornado Intensity Estimates. Part I: Real-Time Probabilities of Peak Tornado Wind Speeds 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 006:;page 2479
    Author(s): Smith, Bryan T.;Thompson, Richard L.;Speheger, Douglas A.;Dean, Andrew R.;Karstens, Christopher D.;Anderson-Frey, Alexandra K.
    Publisher: American Meteorological Society
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    Forecasters’ Cognitive Task Analysis and Mental Workload Analysis of Issuing Probabilistic Hazard Information (PHI) during FACETs PHI Prototype Experiment 

    Source: Weather and Forecasting:;2020:;volume( 035 ):;issue: 004:;page 1505
    Author(s): James, Joseph J. J.;Ling, Chen;Karstens, Christopher D.;Jr., James Correia;Calhoun, Kristin;Meyer, Tiffany;LaDue, Daphne
    Publisher: American Meteorological Society
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    Using Artificial Intelligence to Improve Real-Time Decision Making for High-Impact Weather 

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 010:;page 2073
    Author(s): McGovern, Amy; Elmore, Kimberly L.; Gagne, David John; Haupt, Sue Ellen; Karstens, Christopher D.; Lagerquist, Ryan; Smith, Travis; Williams, John K.
    Publisher: American Meteorological Society
    Abstract: is paper demonstrates that modern AI techniques can aid forecasters on a wide variety of high-impact weather phenomena.
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    Evaluation of a Probabilistic Forecasting Methodology for Severe Convective Weather in the 2014 Hazardous Weather Testbed 

    Source: Weather and Forecasting:;2015:;volume( 030 ):;issue: 006:;page 1551
    Author(s): Karstens, Christopher D.; Stumpf, Greg; Ling, Chen; Hua, Lesheng; Kingfield, Darrel; Smith, Travis M.; Correia, James; Calhoun, Kristin; Ortega, Kiel; Melick, Chris; Rothfusz, Lans P.
    Publisher: American Meteorological Society
    Abstract: proposed new method for hazard identification and prediction was evaluated with forecasters in the National Oceanic and Atmospheric Administration Hazardous Weather Testbed during 2014. This method combines hazard-following ...
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