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    Comparison of Turbulence Indicators Obtained from in situ Flight Data 

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 006:;page 1609
    Author(s): Kim, Soo-Hyun; Chun, Hye-Yeong; Chan, Pak Wai
    Publisher: American Meteorological Society
    Abstract: wo indicators of turbulence?the eddy dissipation rate (EDR) and derived equivalent vertical gust velocity (DEVG)?are calculated using aircraft observations from Hong Kong-based airlines, whose aircraft included Boeing and ...
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    Operational Aviation Icing Forecast Algorithm for the Korea Meteorological Administration 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 003:;page 501
    Author(s): Kim, Eun-Tae; Kim, Jung-Hoon; Kim, Soo-Hyun; Morcrette, Cyril
    Publisher: American Meteorological Society
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    Deep Learning–Based Summertime Turbulence Intensity Estimation Using Satellite Observations 

    Source: Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 011:;page 1433
    Author(s): Lee, Yoonjin; Kim, Soo-Hyun; Noh, Yoo-Jeong; Kim, Jung-Hoon
    Publisher: American Meteorological Society
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    Development of Near-Cloud Turbulence Diagnostics Based on a Convective Gravity Wave Drag Parameterization 

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 008:;page 1725
    Author(s): Kim, Soo-Hyun; Chun, Hye-Yeong; Sharman, Robert D.; Trier, Stanley B.
    Publisher: American Meteorological Society
    Abstract: AbstractWe propose near-cloud turbulence (NCT) diagnostics for use in aviation turbulence forecasting, using a convective gravity wave drag (CGWD) parameterization scheme. The NCT diagnostics are obtained based on (i) CGWD ...
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    Improving Numerical Weather Prediction–Based Near-Cloud Aviation Turbulence Forecasts by Diagnosing Convective Gravity Wave Breaking 

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 005:;page 1735
    Author(s): Kim, Soo-Hyun;Chun, Hye-Yeong;Lee, Dan-Bi;Kim, Jung-Hoon;Sharman, Robert D.
    Publisher: American Meteorological Society
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    Research Collaborations for Better Predictions of Aviation Weather Hazards 

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 005:;page ES103
    Author(s): Chun, Hye-Yeong; Kim, Jung-Hoon; Lee, Dan-Bi; Kim, Soo-Hyun; Strahan, Matt; Pettegrew, Brian; Gill, Philip; Williams, Paul D.; Schumann, Ulrich; Tenenbaum, Joel; Lee, Young-Gon; Choi, Hee-Wook; Song, In-Sul; Park, Ye-Ji; Sharman, Robert D.
    Publisher: American Meteorological Society
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    DSpace software copyright © 2002-2015  DuraSpace
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