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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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    Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Earnest, Bethany L.; McGovern, Amy; Karstens, Christopher; Jirak, Israel
    Publisher: American Meteorological Society
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    Quality Control of Weather Radar Data Using Polarimetric Variables 

    Source: Journal of Atmospheric and Oceanic Technology:;2014:;volume( 031 ):;issue: 006:;page 1234
    Author(s): Lakshmanan, Valliappa; Karstens, Christopher; Krause, John; Tang, Lin
    Publisher: American Meteorological Society
    Abstract: ecause weather radar data are commonly employed in automated weather applications, it is necessary to censor nonmeteorological contaminants, such as bioscatter, instrument artifacts, and ground clutter, from the data. With ...
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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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    Part II: Lessons Learned from Predicting Wildfire Occurrence for CONUS Using Deep Learning and Fire Weather Variables 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Earnest, Bethany L.; McGovern, Amy; Karstens, Christopher; Jirak, Israel
    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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    Which Polarimetric Variables Are Important for Weather/No-Weather Discrimination? 

    Source: Journal of Atmospheric and Oceanic Technology:;2015:;volume( 032 ):;issue: 006:;page 1209
    Author(s): Lakshmanan, Valliappa; Karstens, Christopher; Krause, John; Elmore, Kim; Ryzhkov, Alexander; Berkseth, Samantha
    Publisher: American Meteorological Society
    Abstract: ecently, a radar data quality control algorithm has been devised to discriminate between weather echoes and echoes due to nonmeteorological phenomena, such as bioscatter, instrument artifacts, and ground clutter (Lakshmanan ...
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    A Comparison of Multiscale GSI-Based EnKF and 3DVar Data Assimilation Using Radar and Conventional Observations for Midlatitude Convective-Scale Precipitation Forecasts 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 008:;page 3087
    Author(s): Johnson, Aaron; Wang, Xuguang; Carley, Jacob R.; Wicker, Louis J.; Karstens, Christopher
    Publisher: American Meteorological Society
    Abstract: GSI-based data assimilation (DA) system, including three-dimensional variational assimilation (3DVar) and ensemble Kalman filter (EnKF), is extended to the multiscale assimilation of both meso- and synoptic-scale observation ...
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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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