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    A Reassessment of the Percentage of Tornadic Mesocyclones 

    Source: Weather and Forecasting:;2005:;volume( 020 ):;issue: 004:;page 680
    Author(s): Trapp, Robert J.; Stumpf, Gregory J.; Manross, Kevin L.
    Publisher: American Meteorological Society
    Abstract: A large set of data collected by numerous Weather Surveillance Radar-1988 Doppler (WSR-88D) units around the United States was analyzed to reassess the percentage of tornadic mesocyclones. Out of the 5322 individual ...
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    Toward a User-Centered Design of a Weather Forecasting Decision-Support Tool 

    Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 002:;page 373
    Author(s): Argyle, Elizabeth M.; Gourley, Jonathan J.; Flamig, Zachary L.; Hansen, Tracy; Manross, Kevin
    Publisher: American Meteorological Society
    Abstract: azard Services is a software toolkit that integrates information management, hazard alerting, and communication functions into a single user interface. When complete, National Weather Service forecasters across the United ...
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    Rapid Sampling of Severe Storms by the National Weather Radar Testbed Phased Array Radar 

    Source: Weather and Forecasting:;2008:;volume( 023 ):;issue: 005:;page 808
    Author(s): Heinselman, Pamela L.; Priegnitz, David L.; Manross, Kevin L.; Smith, Travis M.; Adams, Richard W.
    Publisher: American Meteorological Society
    Abstract: A key advantage of the National Weather Radar Testbed Phased Array Radar (PAR) is the capability to adaptively scan storms at higher temporal resolution than is possible with the Weather Surveillance Radar-1988 Doppler ...
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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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    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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    A Real-Time Weather-Adaptive 3DVAR Analysis System for Severe Weather Detections and Warnings 

    Source: Weather and Forecasting:;2013:;volume( 028 ):;issue: 003:;page 727
    Author(s): Gao, Jidong; Smith, Travis M.; Stensrud, David J.; Fu, Chenghao; Calhoun, Kristin; Manross, Kevin L.; Brogden, Jeffrey; Lakshmanan, Valliappa; Wang, Yunheng; Thomas, Kevin W.; Brewster, Keith; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: real-time, weather-adaptive three-dimensional variational data assimilation (3DVAR) system has been adapted for the NOAA Warn-on-Forecast (WoF) project to incorporate all available radar observations within a moveable ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian