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    Impact of Increasing Horizontal and Vertical Resolution during the HWRF Hybrid EnVar Data Assimilation on the Analysis and Prediction of Hurricane Patricia (2015) 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 002:;page 419
    Author(s): Feng, Jie;Wang, Xuguang
    Publisher: American Meteorological Society
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    Assessing the Relationship between MJO and Equatorial Pacific WWBs in Observations and CMIP5 Models 

    Source: Journal of Climate:;2018:;volume 031:;issue 016:;page 6393
    Author(s): Feng, Jie; Lian, Tao
    Publisher: American Meteorological Society
    Abstract: AbstractThis study evaluates the relationship between the Madden?Julian oscillation (MJO) and the occurrence of equatorial Pacific westerly wind bursts (WWBs). During the convective MJO phase, anomalous surface westerlies ...
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    Impact of Assimilating Upper-Level Dropsonde Observations Collected during the TCI Field Campaign on the Prediction of Intensity and Structure of Hurricane Patricia (2015) 

    Source: Monthly Weather Review:;2019:;volume 147:;issue 008:;page 3069
    Author(s): Feng, Jie; Wang, Xuguang
    Publisher: American Meteorological Society
    Abstract: AbstractThe dropsondes released during the Tropical Cyclone Intensity (TCI) field campaign provide high-resolution kinematic and thermodynamic measurements of tropical cyclones within the upper-level outflow and inner core. ...
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    A Comparison of Two Local Moment-Matching Nonlinear Filters: Local Particle Filter (LPF) and Local Nonlinear Ensemble Transform Filter (LNETF) 

    Source: Monthly Weather Review:;2020:;volume( 148 ):;issue: 011:;page 4377
    Author(s): Feng, Jie;Wang, Xuguang;Poterjoy, Jonathan
    Publisher: American Meteorological Society
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    Pacific Meridional Mode Does Not Induce Strong Positive SST Anomalies in the Central Equatorial Pacific 

    Source: Journal of Climate:;2023:;volume( 036 ):;issue: 012
    Author(s): Hu, Ruikun; Lian, Tao; Feng, Jie; Chen, Dake
    Publisher: American Meteorological Society
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    The Application of Nonlinear Local Lyapunov Vectors to Ensemble Predictions in Lorenz Systems 

    Source: Journal of the Atmospheric Sciences:;2014:;Volume( 071 ):;issue: 009:;page 3554
    Author(s): Feng, Jie; Ding, Ruiqiang; Liu, Deqiang; Li, Jianping
    Publisher: American Meteorological Society
    Abstract: onlinear local Lyapunov vectors (NLLVs) are developed to indicate orthogonal directions in phase space with different perturbation growth rates. In particular, the first few NLLVs are considered to be an appropriate ...
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    Comparison of Nonlinear Local Lyapunov Vectors and Bred Vectors in Estimating the Spatial Distribution of Error Growth 

    Source: Journal of the Atmospheric Sciences:;2018:;volume 075:;issue 004:;page 1073
    Author(s): Feng, Jie; Li, Jianping; Ding, Ruiqiang; Toth, Zoltan
    Publisher: American Meteorological Society
    Abstract: AbstractInstabilities play a critical role in understanding atmospheric predictability and improving weather forecasting. The bred vectors (BVs) are dynamically evolved and flow-dependent nonlinear perturbations, indicating ...
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    Tropical Indian Ocean Mixed Layer Bias in CMIP6 CGCMs Primarily Attributed to the AGCM Surface Wind Bias 

    Source: Journal of Climate:;2023:;volume( 036 ):;issue: 012:;page 4169
    Author(s): Feng, Jie; Lian, Tao; Chen, Dake
    Publisher: American Meteorological Society
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    A Multidimensional and Multiscale Model for Pressure Analysis in a Reservoir-Pipe-Valve System 

    Source: Journal of Pressure Vessel Technology:;2019:;volume( 141 ):;issue: 005:;page 51603
    Author(s): Zheng, Feng Jie; Zong, Chao Yong; Dempster, William; Qu, Fu Zheng; Song, Xue Guan
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: Reservoir-pipe-valve (RPV) systems are widely used in many industrial processes. The pressure in an RPV system plays an important role in the safe operation of the system, especially during the sudden operations such as ...
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    Unified Ensemble Mean Forecasting of Tropical Cyclones Based on the Feature-Oriented Mean Method 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 1945
    Author(s): Zhang, Jing;Feng, Jie;Li, Hong;Zhu, Yuejian;Zhi, Xiefei;Zhang, Feng
    Publisher: American Meteorological Society
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