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    A Stochastic Perturbed Parameterization Tendency Scheme for Diffusion (SPPTD) and Its Application to an Idealized Supercell Simulation 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 006:;page 2119
    Author(s): Qiao, Xiaoshi; Wang, Shizhang; Min, Jinzhong
    Publisher: American Meteorological Society
    Abstract: iffusion plays an important role in supercell simulations. A stochastically perturbed parameterization tendency scheme for diffusion (SPPTD) is developed to incorporate diffusive uncertainties in ensemble forecasts. This ...
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    The Impact of a Stochastically Perturbing Microphysics Scheme on an Idealized Supercell Storm 

    Source: Monthly Weather Review:;2017:;volume 146:;issue 001:;page 95
    Author(s): Qiao, Xiaoshi; Wang, Shizhang; Min, Jinzhong
    Publisher: American Meteorological Society
    Abstract: AbstractThe concept of stochastic parameterization provides an opportunity to represent spatiotemporal errors caused by microphysics schemes that play important roles in supercell simulations. In this study, two stochastic ...
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    The Impact of Stochastically Perturbed Parameterizations on Tornadic Supercell Cases in East China 

    Source: Monthly Weather Review:;2018:;volume 147:;issue 001:;page 199
    Author(s): Wang, Shizhang; Qiao, Xiaoshi; Min, Jinzhong; Zhuang, Xiaoran
    Publisher: American Meteorological Society
    Abstract: The impact of stochastically perturbed parameterizations on short-term tornadic supercell ensemble forecasts (EFs) was evaluated using two tornado cases that occurred in eastern China. The initial condition (IC) perturbations ...
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    A Method for Probability Matching Based on the Ensemble Maximum for Quantitative Precipitation Forecasts 

    Source: Monthly Weather Review:;2020:;volume( 148 ):;issue: 008:;page 3379
    Author(s): Qiao, Xiaoshi;Wang, Shizhang;Schwartz, Craig S.;Liu, Zhiquan;Min, Jinzhong
    Publisher: American Meteorological Society
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