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    High-Order Monotonic Numerical Diffusion and Smoothing 

    Source: Monthly Weather Review:;2000:;volume( 128 ):;issue: 008:;page 2853
    Author(s): Xue, Ming
    Publisher: American Meteorological Society
    Abstract: High-order numerical diffusion is commonly used in numerical models to provide scale selective control over small-scale noise. Conventional high-order schemes have undesirable side effects, however: they can introduce noise ...
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    The Role of Surface Drag in Mesocyclone Intensification Leading to Tornadogenesis within an Idealized Supercell Simulation 

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 009:;page 3055
    Author(s): Roberts, Brett;Xue, Ming
    Publisher: American Meteorological Society
    Abstract: AbstractThe idealized supercell simulations in a previous study by Roberts et al. are further analyzed to clarify the physical mechanisms leading to differences in mesocyclone intensification between an experiment with ...
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    Ensemble Kalman Filter Assimilation of Doppler Radar Data with a Compressible Nonhydrostatic Model: OSS Experiments 

    Source: Monthly Weather Review:;2005:;volume( 133 ):;issue: 007:;page 1789
    Author(s): Tong, Mingjing; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: A Doppler radar data assimilation system is developed based on an ensemble Kalman filter (EnKF) method and tested with simulated radar data from a supercell storm. As a first implementation, it is assumed that the forward ...
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    Retrieval of Moisture from Slant-Path Water Vapor Observations of a Hypothetical GPS Network Using a Three-Dimensional Variational Scheme with Anisotropic Background Error 

    Source: Monthly Weather Review:;2006:;volume( 134 ):;issue: 003:;page 933
    Author(s): Liu, Haixia; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: A three-dimensional variational (3DVAR) scheme is developed for retrieving three-dimensional moisture in the atmosphere from slant-path measurements of a hypothetical ground-based global positioning system (GPS) observation ...
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    Simultaneous Estimation of Microphysical Parameters and Atmospheric State with Simulated Radar Data and Ensemble Square Root Kalman Filter. Part I: Sensitivity Analysis and Parameter Identifiability 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 005:;page 1630
    Author(s): Tong, Mingjing; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: The possibility of estimating fundamental parameters common in single-moment ice microphysics schemes using radar observations is investigated for a model-simulated supercell storm by examining parameter sensitivity and ...
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    Simultaneous Estimation of Microphysical Parameters and Atmospheric State with Simulated Radar Data and Ensemble Square Root Kalman Filter. Part II: Parameter Estimation Experiments 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 005:;page 1649
    Author(s): Tong, Mingjing; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: The ensemble Kalman filter method is applied to correct errors in five fundamental microphysical parameters that are closely involved in the definition of drop/particle size distributions of microphysical species in a ...
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    Prediction of Convective Initiation and Storm Evolution on 12 June 2002 during IHOP_2002. Part I: Control Simulation and Sensitivity Experiments 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 007:;page 2261
    Author(s): Liu, Haixia; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: The 12?13 June 2002 convective initiation case from the International H2O Project (IHOP_2002) field experiment over the central Great Plains of the United States is simulated numerically with the Advanced Regional Prediction ...
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    An Efficient Dual-Resolution Approach for Ensemble Data Assimilation and Tests with Simulated Doppler Radar Data 

    Source: Monthly Weather Review:;2008:;volume( 136 ):;issue: 003:;page 945
    Author(s): Gao, Jidong; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: A new efficient dual-resolution (DR) data assimilation algorithm is developed based on the ensemble Kalman filter (EnKF) method and tested using simulated radar radial velocity data for a supercell storm. Radar observations ...
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    Impact of Configurations of Rapid Intermittent Assimilation of WSR-88D Radar Data for the 8 May 2003 Oklahoma City Tornadic Thunderstorm Case 

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 002:;page 507
    Author(s): Hu, Ming; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: Various configurations of the intermittent data assimilation procedure for Level-II Weather Surveillance Radar-1988 Doppler radar data are examined for the analysis and prediction of a tornadic thunderstorm that occurred ...
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    A Revised Force–Restore Model for Land Surface Modeling 

    Source: Journal of Applied Meteorology:;2004:;volume( 043 ):;issue: 011:;page 1768
    Author(s): Ren, Diandong; Xue, Ming
    Publisher: American Meteorological Society
    Abstract: To clarify the definition of the equation for the temperature toward which the soil skin temperature is restored, the prediction equations in the commonly used force?restore model for soil temperature are rederived from ...
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