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    Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part II: Application to a Severe Storm Outbreak 

    Source: Monthly Weather Review:;2003:;volume( 131 ):;issue: 003:;page 493
    Author(s): Brewster, Keith A.
    Publisher: American Meteorological Society
    Abstract: A scheme to correct phase errors in numerical model forecasts using Doppler radar, radiosonde, profiler, and surface data is demonstrated to improve forecasts in a complex severe thunderstorm situation. The technique is ...
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    Photographs of a Funnel-Producing Indented Cloud-Base Swirl 

    Source: Monthly Weather Review:;1986:;volume( 114 ):;issue: 009:;page 1771
    Author(s): Brewster, Keith A.
    Publisher: American Meteorological Society
    Abstract: An interesting swirl in the cloud base of a severe thunderstorm near Denver, Colorado, is documented with photographs and Doppler radar velocity measurements. The swirl, which produced two funnel clouds, may have been an ...
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    Phase-Correcting Data Assimilation and Application to Storm-Scale Numerical Weather Prediction. Part I: Method Description and Simulation Testing 

    Source: Monthly Weather Review:;2003:;volume( 131 ):;issue: 003:;page 480
    Author(s): Brewster, Keith A.
    Publisher: American Meteorological Society
    Abstract: An objective method of determining and correcting phase or position errors in numerical weather prediction is described and tested in a radar data observing system simulation experiment (OSSE) addressing the forecasting ...
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    Comparison of Eddy Dissipation Rates from Spatial Spectra of Doppler Velocities and Doppler Spectrum Widths 

    Source: Journal of Atmospheric and Oceanic Technology:;1986:;volume( 003 ):;issue: 003:;page 440
    Author(s): Brewster, Keith A.; Zrnić, Dusan S.
    Publisher: American Meteorological Society
    Abstract: Doppler radars offer unique data from which it is possible to estimate the turbulent eddy dissipation rates, ?. If the inertial subrange extends to lengths longer than the radar resolution volume size, ? can be obtained ...
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    Sensitivities of 1-km Forecasts of 24 May 2011 Tornadic Supercells to Microphysics Parameterizations 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 007:;page 2697
    Author(s): Stratman, Derek R.; Brewster, Keith A.
    Publisher: American Meteorological Society
    Abstract: n 24 May 2011, Oklahoma experienced an outbreak of tornadoes, including one rated EF-5 and two rated EF-4. The extensive observation network in this area makes this an ideal case to examine the impact of using five different ...
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    3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part I: Cloud Analysis and Its Impact 

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 002:;page 675
    Author(s): Hu, Ming; Xue, Ming; Brewster, Keith
    Publisher: American Meteorological Society
    Abstract: In this two-part paper, the impact of level-II Weather Surveillance Radar-1988 Doppler (WSR-88D) reflectivity and radial velocity data on the prediction of a cluster of tornadic thunderstorms in the Advanced Regional ...
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    A Three-Dimensional Variational Data Analysis Method with Recursive Filter for Doppler Radars 

    Source: Journal of Atmospheric and Oceanic Technology:;2004:;volume( 021 ):;issue: 003:;page 457
    Author(s): Gao, Jidong; Xue, Ming; Brewster, Keith; Droegemeier, Kelvin K.
    Publisher: American Meteorological Society
    Abstract: In this paper, a new method of dual-Doppler radar wind analysis based on a three-dimensional variational data assimilation (3DVAR) approach is proposed. In it, a cost function, including background term and radial observation ...
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    Impacts of Beam Broadening and Earth Curvature on Storm-Scale 3D Variational Data Assimilation of Radial Velocity with Two Doppler Radars 

    Source: Journal of Atmospheric and Oceanic Technology:;2009:;volume( 027 ):;issue: 004:;page 617
    Author(s): Ge, Guoqing; Gao, Jidong; Brewster, Keith; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: The radar ray path and beam broadening equations are important for assimilation of radar data into numerical weather prediction (NWP) models. They can be used to determine the physical location of each radar measurement ...
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    3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR 

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 002:;page 699
    Author(s): Hu, Ming; Xue, Ming; Gao, Jidong; Brewster, Keith
    Publisher: American Meteorological Society
    Abstract: In this two-part paper, the impact of level-II Weather Surveillance Radar-1988 Doppler (WSR-88D) radar reflectivity and radial velocity data on the prediction of a cluster of tornadic thunderstorms in the Advanced Regional ...
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    The Analysis and Prediction of the 8–9 May 2007 Oklahoma Tornadic Mesoscale Convective System by Assimilating WSR-88D and CASA Radar Data Using 3DVAR 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 001:;page 224
    Author(s): Schenkman, Alexander D.; Xue, Ming; Shapiro, Alan; Brewster, Keith; Gao, Jidong
    Publisher: American Meteorological Society
    Abstract: The Advanced Regional Prediction System (ARPS) model is employed to perform high-resolution numerical simulations of a mesoscale convective system and associated cyclonic line-end vortex (LEV) that spawned several tornadoes ...
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