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    A Model for the Tropical Cyclone Wind Field Response to Idealized Landfall 

    Source: Journal of the Atmospheric Sciences:;2023:;volume( 080 ):;issue: 004:;page 1163
    Author(s): Chen, Jie; Chavas, Daniel R.
    Publisher: American Meteorological Society
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    Can Existing Theory Predict the Response of Tropical Cyclone Intensity to Idealized Landfall? 

    Source: Journal of the Atmospheric Sciences:;2021:;volume( 078 ):;issue: 010:;page 3281
    Author(s): Chen, Jie;Chavas, Daniel R.
    Publisher: American Meteorological Society
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    The Transient Responses of an Axisymmetric Tropical Cyclone to Instantaneous Surface Roughening and Drying 

    Source: Journal of the Atmospheric Sciences:;2020:;volume( 77 ):;issue: 008:;page 2807
    Author(s): Chen, Jie;Chavas, Daniel R.
    Publisher: American Meteorological Society
    Abstract: Inland tropical cyclone (TC) impacts due to high winds and rainfall-induced flooding depend strongly on the evolution of the wind field and precipitation distribution after landfall. However, research has yet to test the ...
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    Postprocessing of Ensemble Weather Forecasts Using a Stochastic Weather Generator 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 003:;page 1106
    Author(s): Chen, Jie; Brissette, François P.; Li, Zhi
    Publisher: American Meteorological Society
    Abstract: his study proposes a new statistical method for postprocessing ensemble weather forecasts using a stochastic weather generator. Key parameters of the weather generator were linked to the ensemble forecast means for both ...
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    A Machine Learning–Based Tire Life Prediction Framework for Increasing Life of Commercial Vehicle Tires 

    Source: Journal of Mechanical Design:;2023:;volume( 146 ):;issue: 002:;page 20902-1
    Author(s): Karkaria, Vispi; Chen, Jie; Siuta, Chase; Lim, Damien; Radulescu, Robert; Chen, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the commercial freight industry, tire retreading decisions are often conservative due to limited knowledge of a tire’s remaining service life. This practice leads to increased costs and material waste. This paper proposes ...
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    A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 001:;page 14502
    Author(s): Choubineh, Abouzar;Chen, Jie;Coenen, Frans;Ma, Fei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Deep feed-forward networks, with high complexity, backpropagate the gradient of the loss function from final layers to earlier layers. As a consequence, the “gradient” may descend rapidly toward zero. This is known as the ...
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    A Model for the Tropical Cyclone Wind Field Response to Idealized Landfall 

    Source: Journal of the Atmospheric Sciences:;2023:;volume( 080 ):;issue: 004
    Author(s): Chen, Jie; Chavas, Daniel R.
    Publisher: American Meteorological Society
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    A Rolling Contact Fatigue Reliability Evaluation Method and its Application to a Slewing Bearing 

    Source: Journal of Tribology:;2012:;volume( 134 ):;issue: 001:;page 11101
    Author(s): Gao Xue Hai; Huang Xiao Diao; Hong Rong Jing; Wang Hua; Chen Jie
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Rolling contact fatigue (RCF) corresponds to the formation of the first spall, which is a stochastic behavior; therefore, the RCF life should be reliably calculated. A method for evaluating RCF ...
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    Experimental Measure of Parameters: The Johnson–Cook Material Model of Extruded Mg–Gd–Y Series Alloy 

    Source: Journal of Applied Mechanics:;2010:;volume( 077 ):;issue: 005:;page 51902
    Author(s): Fan Yafu; Wang Qu-dong; Ning Jun-sheng; Chen Jie; Ji Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper introduces a method to determine the material constants for Johnson–Cook model of an as-extruded Mg–Gd–Y series alloy by quasistatic tests on Instron 1251 and Hopkinson bar experiment ...
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    Coupling a Markov Chain and Support Vector Machine for At-Site Downscaling of Daily Precipitation 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 009:;page 2385
    Author(s): Hou, Yu-Kun;Chen, Hua;Xu, Chong-Yu;Chen, Jie;Guo, Sheng-Lian
    Publisher: American Meteorological Society
    Abstract: AbstractStatistical downscaling is useful for managing scale and resolution problems in outputs from global climate models (GCMs) for climate change impact studies. To improve downscaling of precipitation occurrence, this ...
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