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    Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination 

    Source: Journal of Applied Meteorology and Climatology:;2016:;volume( 055 ):;issue: 004:;page 829
    Author(s): Ortega, Kiel L.; Krause, John M.; Ryzhkov, Alexander V.
    Publisher: American Meteorological Society
    Abstract: his study is the third part of a paper series investigating the polarimetric radar properties of melting hail and application of those properties for operational polarimetric hail detection and determination of its size. ...
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    An Objective High-Resolution Hail Climatology of the Contiguous United States 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 005:;page 1235
    Author(s): Cintineo, John L.; Smith, Travis M.; Lakshmanan, Valliappa; Brooks, Harold E.; Ortega, Kiel L.
    Publisher: American Meteorological Society
    Abstract: he threat of damaging hail from severe thunderstorms affects many communities and industries on a yearly basis, with annual economic losses in excess of $1 billion (U.S. dollars). Past hail climatology has typically relied ...
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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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    The Severe Hazards Analysis and Verification Experiment 

    Source: Bulletin of the American Meteorological Society:;2009:;volume( 090 ):;issue: 010:;page 1519
    Author(s): Ortega, Kiel L.; Smith, Travis M.; Manross, Kevin L.; Kolodziej, Angelyn G.; Scharfenberg, Kevin A.; Witt, Arthur; Gourley, Jonathan J.
    Publisher: American Meteorological Society
    Abstract: During the springs and summers of 2006 through 2008, scientists from the National Severe Storms Laboratory and students from the University of Oklahoma have conducted an enhanced severe-storm verification effort. The primary ...
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    Estimates of Gradients in Radar Moments Using a Linear Least Squares Derivative Technique 

    Source: Weather and Forecasting:;2019:;volume 034:;issue 002:;page 415
    Author(s): Mahalik, Matthew C.; Smith, Brandon R.; Elmore, Kimberly L.; Kingfield, Darrel M.; Ortega, Kiel L.; Smith, Travis M.
    Publisher: American Meteorological Society
    Abstract: AbstractThe local, linear, least squares derivative (LLSD) approach to radar analysis is a method of quantifying gradients in radar data by fitting a least squares plane to a neighborhood of range bins and finding its ...
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    Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 097 ):;issue: 009:;page 1617
    Author(s): Smith, Travis M.; Lakshmanan, Valliappa; Stumpf, Gregory J.; Ortega, Kiel L.; Hondl, Kurt; Cooper, Karen; Calhoun, Kristin M.; Kingfield, Darrel M.; Manross, Kevin L.; Toomey, Robert; Brogden, Jeff
    Publisher: American Meteorological Society
    Abstract: he Multi-Radar Multi-Sensor (MRMS) system, which was developed at the National Severe Storms Laboratory and the University of Oklahoma, was made operational in 2014 at the National Centers for Environmental Prediction. The ...
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    20 May 2013 Moore, Oklahoma, Tornado: Damage Survey and Analysis 

    Source: Weather and Forecasting:;2014:;volume( 029 ):;issue: 005:;page 1229
    Author(s): Burgess, Donald; Ortega, Kiel; Stumpf, Greg; Garfield, Gabe; Karstens, Chris; Meyer, Tiffany; Smith, Brandon; Speheger, Doug; Ladue, Jim; Smith, Rick; Marshall, Tim
    Publisher: American Meteorological Society
    Abstract: he tornado that affected Moore, Oklahoma, and the surrounding area on 20 May 2013 was an extreme event. It traveled 23 km and damage was up to 1.7 km wide. The tornado killed 24 people, injured over 200 others, and damaged ...
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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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    Examination of a Real-Time 3DVAR Analysis System in the Hazardous Weather Testbed 

    Source: Weather and Forecasting:;2013:;volume( 029 ):;issue: 001:;page 63
    Author(s): Smith, Travis M.; Gao, Jidong; Calhoun, Kristin M.; Stensrud, David J.; Manross, Kevin L.; Ortega, Kiel L.; Fu, Chenghao; Kingfield, Darrel M.; Elmore, Kimberly L.; Lakshmanan, Valliappa; Riedel, Christopher
    Publisher: American Meteorological Society
    Abstract: orecasters and research meteorologists tested a real-time three-dimensional variational data assimilation (3DVAR) system in the Hazardous Weather Testbed during the springs of 2010?12 to determine its capabilities to assist ...
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