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    Modeled and Observed Variations in Storm Divergence and Stratiform Rain Production in Southeastern Texas 

    Source: Journal of the Atmospheric Sciences:;2011:;Volume( 069 ):;issue: 004:;page 1159
    Author(s): Hopper, Larry J.; Schumacher, Courtney
    Publisher: American Meteorological Society
    Abstract: torm divergence profiles observed by an S-band Doppler radar are compared to ensemble simulations of 10 disparate precipitating systems occurring in warm-season, weakly baroclinic, and strongly baroclinic environments in ...
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    Baroclinicity Influences on Storm Divergence and Stratiform Rain: Subtropical Upper-Level Disturbances 

    Source: Monthly Weather Review:;2009:;volume( 137 ):;issue: 004:;page 1338
    Author(s): Hopper, Larry J.; Schumacher, Courtney
    Publisher: American Meteorological Society
    Abstract: Divergence structures associated with the spectrum of precipitating systems in the subtropics and midlatitudes are not well documented. A mesoscale model is used to quantify the relative importance different baroclinic ...
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    Assessing the Applicability of the Tropical Convective–Stratiform Paradigm in the Extratropics Using Radar Divergence Profiles 

    Source: Journal of Climate:;2014:;volume( 027 ):;issue: 017:;page 6673
    Author(s): Homeyer, Cameron R.; Schumacher, Courtney; Hopper, Larry J.
    Publisher: American Meteorological Society
    Abstract: ong-term radar observations from a subtropical location in southeastern Texas are used to examine the impact of storm systems with tropical or extratropical characteristics on the large-scale circulation. Climatological ...
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    Insights into Hydrometeorological Factors Constraining Flood Prediction Skill during the May and October 2015 Texas Hill Country Flood Events 

    Source: Journal of Hydrometeorology:;2018:;volume 019:;issue 008:;page 1339
    Author(s): Lin, Peirong; Hopper, Larry J.; Yang, Zong-Liang; Lenz, Mark; Zeitler, Jon W.
    Publisher: American Meteorological Society
    Abstract: AbstractThis study evaluates the May and October 2015 flood prediction skill of a physically based model resembling the U.S. National Water Model (NWM) over the Texas Hill Country. It also investigates hydrometeorological ...
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