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    An Idealized Numerical Study of Shear-Relative Low-Level Mean Flow on Tropical Cyclone Intensity and Size 

    Source: Journal of the Atmospheric Sciences:;2019:;volume 076:;issue 008:;page 2309
    Author(s): Chen, Buo-Fu; Davis, Christopher A.; Kuo, Ying-Hwa
    Publisher: American Meteorological Society
    Abstract: AbstractGiven comparable background vertical wind shear (VWS) magnitudes, the initially imposed shear-relative low-level mean flow (LMF) is hypothesized to modify the structure and convective features of a tropical cyclone ...
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    Origin and Maintenance of the Long-Lasting, Outer Mesoscale Convective System in Typhoon Fengshen (2008) 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 008:;page 2838
    Author(s): Chen, Buo-Fu; Elsberry, Russell L.; Lee, Cheng-Shang
    Publisher: American Meteorological Society
    Abstract: uter mesoscale convective systems (OMCSs) are long-lasting, heavy rainfall events separate from the inner-core rainfall that have previously been shown to occur in 22% of western North Pacific tropical cyclones (TCs). ...
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    Examination of the Combined Effect of Deep-Layer Vertical Shear Direction and Lower-Tropospheric Mean Flow on Tropical Cyclone Intensity and Size Based on the ERA5 Reanalysis 

    Source: Monthly Weather Review:;2021:;volume( 149 ):;issue: 012:;page 4057
    Author(s): Chen, Buo-Fu;Davis, Christopher A.;Kuo, Ying-Hwa
    Publisher: American Meteorological Society
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    Effects of Low-Level Flow Orientation and Vertical Shear on the Structure and Intensity of Tropical Cyclones 

    Source: Monthly Weather Review:;2018:;volume 146:;issue 008:;page 2447
    Author(s): Chen, Buo-Fu; Davis, Christopher A.; Kuo, Ying-Hwa
    Publisher: American Meteorological Society
    Abstract: AbstractThis article explores the simultaneous effect of vertical wind shear (VWS) and low-level mean flow (LMF) on tropical cyclone (TC) structure evolution. The structural evolution of 180 western North Pacific TCs from ...
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    Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002
    Author(s): Cheng, Yung-Yun; Chang, Chia-Tung; Chen, Buo-Fu; Kuo, Hung-Chi; Lee, Cheng-Shang
    Publisher: American Meteorological Society
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    Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks 

    Source: Weather and Forecasting:;2019:;volume 034:;issue 002:;page 447
    Author(s): Chen, Buo-Fu; Chen, Boyo; Lin, Hsuan-Tien; Elsberry, Russell L.
    Publisher: American Meteorological Society
    Abstract: AbstractAccurately estimating tropical cyclone (TC) intensity is one of the most critical steps in TC forecasting and disaster warning/management. For over 40 years, the Dvorak technique (and several improved versions) has ...
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    A Simulation Study of Kelvin Waves Interacting with Synoptic Events during December 2016 in the South China Sea and Maritime Continent 

    Source: Journal of Climate:;2020:;volume( 33 ):;issue: 015:;page 6345
    Author(s): Hsu, Li-Huan;Tseng, Li-Shan;Hou, Shu-Yu;Chen, Buo-Fu;Sui, Chung-Hsiung
    Publisher: American Meteorological Society
    Abstract: This study evaluates the model simulation of interaction between convectively coupled tropical disturbances in the South China Sea (SCS) and Maritime Continent (MC). The Model for Prediction Across Scales (MPAS) is used ...
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    Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002:;page 273
    Author(s): Cheng, Yung-Yun; Chang, Chia-Tung; Chen, Buo-Fu; Kuo, Hung-Chi; Lee, Cheng-Shang
    Publisher: American Meteorological Society
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