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    Storm-Track Activity in IPCC AR4/CMIP3 Model Simulations 

    Source: Journal of Climate:;2012:;volume( 026 ):;issue: 001:;page 246
    Author(s): Chang, Edmund K. M.; Guo, Yanjuan; Xia, Xiaoming; Zheng, Minghua
    Publisher: American Meteorological Society
    Abstract: he climatological storm-track activity simulated by 17 Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4)/phase 3 of the Coupled Model Intercomparison Project (CMIP3) models is compared to that ...
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    Ensemble Sensitivity Tools for Assessing Extratropical Cyclone Intensity and Track Predictability 

    Source: Weather and Forecasting:;2013:;volume( 028 ):;issue: 005:;page 1133
    Author(s): Zheng, Minghua; Chang, Edmund K. M.; Colle, Brian A.
    Publisher: American Meteorological Society
    Abstract: his paper applies ensemble sensitivity analysis to a U.S. East Coast snowstorm on 26?28 December 2010 in a way that may be beneficial for an operational forecaster to better understand the forecast uncertainties. Sensitivity ...
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    Evaluating U.S. East Coast Winter Storms in a Multimodel Ensemble Using EOF and Clustering Approaches 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 006:;page 1967
    Author(s): Zheng, Minghua; Chang, Edmund K. M.; Colle, Brian A.
    Publisher: American Meteorological Society
    Abstract: AbstractEmpirical orthogonal function (EOF) and fuzzy clustering tools were applied to generate and validate scenarios in operational ensemble prediction systems (EPSs) for U.S. East Coast winter storms. The National Centers ...
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    Medium-Range Ensemble Sensitivity Analysis of Two Extreme Pacific Extratropical Cyclones 

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 001:;page 211
    Author(s): Chang, Edmund K. M.; Zheng, Minghua; Raeder, Kevin
    Publisher: American Meteorological Society
    Abstract: n this study, ensemble sensitivity analysis has been applied to examine the evolution of two extreme extratropical cyclones over the Pacific. Sensitivity using, as forecast metrics, forecast cyclone minimum pressure and ...
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    Applying Fuzzy Clustering to a Multimodel Ensemble for U.S. East Coast Winter Storms: Scenario Identification and Forecast Verification 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 003:;page 881
    Author(s): Zheng, Minghua;Chang, Edmund K. M.;Colle, Brian A.;Luo, Yan;Zhu, YueJian
    Publisher: American Meteorological Society
    Abstract: AbstractThis article introduces a method for objectively separating and validating forecast scenarios within a large multimodel ensemble for the medium-range (3?7 day) forecasts of extratropical cyclones impacting the U.S. ...
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    Impact of Atmospheric River Reconnaissance Dropsonde Data on the Assimilation of Satellite Radiance Data in GFS 

    Source: Journal of Atmospheric and Oceanic Technology:;2024:;volume( 041 ):;issue: 009:;page 819
    Author(s): Zheng, Minghua; Delle Monache, Luca; Wu, Xingren; Kawzenuk, Brian; Ralph, F. Martin; Zhu, Yanqiu; Torn, Ryan; Tallapragada, Vijay S.; Zhang, Zhenhai; Wu, Keqin; Wang, Jia
    Publisher: American Meteorological Society
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    Data Gaps within Atmospheric Rivers over the Northeastern Pacific 

    Source: Bulletin of the American Meteorological Society:;2020:;volume( ):;issue: -:;page 1
    Author(s): Zheng, Minghua;Delle Monache, Luca;Wu, Xingren;Ralph, F. Martin;Cornuelle, Bruce;Tallapragada, Vijay;Haase, Jennifer S.;Wilson, Anna M.;Mazloff, Matthew;Subramanian, Aneesh;Cannon, Forest
    Publisher: American Meteorological Society
    Abstract: A significant data void exists in the lower atmosphere during Atmospheric River (AR) events over the northeastern Pacific. When available, AR Reconnaissance data provide the majority of direct observations within the ...
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    When It Rains It’s Poorly Observed: Data Gaps within Atmospheric Rivers Aimed at the West Coast 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( 102 ):;issue: 011:;page 1067
    Author(s): Zheng, Minghua; Monache, Luca Delle; Wu, Xingren; Ralph, F. Martin; Cornuelle, Bruce; Tallapragada, Vijay; Haase, Jennifer S.; Wilson, Anna M.; Mazloff, Matthew; Subramanian, Aneesh; Cannon, Forest
    Publisher: American Meteorological Society
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    Impacts of Dropsonde Observations on Forecasts of Atmospheric Rivers and Associated Precipitation in the NCEP GFS and ECMWF IFS Models 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 012:;page 2397
    Author(s): DeHaan, Laurel L.; Wilson, Anna M.; Kawzenuk, Brian; Zheng, Minghua; Monache, Luca Delle; Wu, Xingren; Lavers, David A.; Ingleby, Bruce; Tallapragada, Vijay; Pappenberger, Florian; Ralph, F. Martin
    Publisher: American Meteorological Society
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    An Assessment of Dropsonde Sampling Strategies for Atmospheric River Reconnaissance 

    Source: Monthly Weather Review:;2024:;volume( 152 ):;issue: 003:;page 811
    Author(s): Zheng, Minghua; Torn, Ryan; Delle Monache, Luca; Doyle, James; Ralph, Fred Martin; Tallapragada, Vijay; Davis, Christopher; Steinhoff, Daniel; Wu, Xingren; Wilson, Anna; Papadopoulos, Caroline; Mulrooney, Patrick
    Publisher: American Meteorological Society
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