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    Assimilation of Radar Radial Velocity and Reflectivity, Satellite Cloud Water Path, and Total Precipitable Water for Convective-Scale NWP in OSSEs 

    Source: Journal of Atmospheric and Oceanic Technology:;2017:;volume 035:;issue 001:;page 67
    Author(s): Pan, Sijie; Gao, Jidong; Stensrud, David J.; Wang, Xuguang; Jones, Thomas A.
    Publisher: American Meteorological Society
    Abstract: AbstractIn this study, the ensemble of three-dimensional variational data assimilation (En3DVar) method for convective-scale weather is adopted and evaluated using an idealized supercell storm simulated by the Weather ...
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    The Impact of Assimilating Satellite-Derived Layered Precipitable Water, Cloud Water Path, and Radar Data on Short-Range Thunderstorm Forecasts 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 005:;page 1359
    Author(s): Pan, Sijie;Gao, Jidong;Jones, Thomas A.;Wang, Yunheng;Wang, Xuguang;Li, Jun
    Publisher: American Meteorological Society
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    Assimilation of Radar Radial Velocity, Reflectivity, and Pseudo–Water Vapor for Convective-Scale NWP in a Variational Framework 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 008:;page 2877
    Author(s): Lai, Anwei; Gao, Jidong; Koch, Steven E.; Wang, Yunheng; Pan, Sijie; Fierro, Alexandre O.; Cui, Chunguang; Min, Jinzhong
    Publisher: American Meteorological Society
    Abstract: AbstractTo improve severe thunderstorm prediction, a novel pseudo-observation and assimilation approach involving water vapor mass mixing ratio is proposed to better initialize NWP forecasts at convection-resolving scales. ...
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