Research Collaborations for Better Predictions of Aviation Weather Hazards

Hye-Yeong Chun Yonsei University, Seoul, South Korea

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Jung-Hoon Kim Colorado State University, Fort Collins, Colorado, and NOAA/Aviation Weather Center, Kansas City, Missouri

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Dan-Bi Lee Yonsei University, Seoul, South Korea

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Soo-Hyun Kim Yonsei University, Seoul, South Korea

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Matt Strahan NOAA/Aviation Weather Center, Kansas City, Missouri

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Brian Pettegrew Colorado State University, Fort Collins, Colorado, and NOAA/Aviation Weather Center, Kansas City, Missouri

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Philip Gill Met Office, Exeter, United Kingdom

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Paul D. Williams University of Reading, Reading, United Kingdom

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Ulrich Schumann Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany

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Joel Tenenbaum University at Purchase, State University of New York, Purchase, New York

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Young-Gon Lee National Institute of Meteorological Sciences, Jeju, South Korea

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Hee-Wook Choi National Institute of Meteorological Sciences, Jeju, South Korea

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In-Sul Song Aviation Meteorological Office, Incheon, South Korea

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Ye-Ji Park Aviation Meteorological Office, Incheon, South Korea

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Robert D. Sharman National Center for Atmospheric Research, Boulder, Colorado

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© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

CORRESPONDING AUTHOR: Jung-Hoon Kim, jung-hoon.kim@noaa.gov

© 2017 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

CORRESPONDING AUTHOR: Jung-Hoon Kim, jung-hoon.kim@noaa.gov
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  • Gill, P. G., 2012: Objective verification of World Area Forecast Centre clear air turbulence forecasts. Meteor. Appl., 21, 311, doi10.1002/met.1288.

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  • Kim, J.-H., and H.-Y. Chun, 2012: Development of the Korean Aviation Turbulence Guidance (KTG) system using the operational Unified Model (UM) of the Korea Meteorological Administration (KMA) and pilot reports (PIREPs). J. Korean Soc. Aviat. Aeronaut., 20, 7683, doi10.12985/ksaa.2012.20.4.076.

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  • Kim, J.-H., W. N. Chan, S. Banavar, and R. D. Sharman, 2015: Combined winds and turbulence prediction system for automated air-traffic management applications. J. Appl. Meteor. Climatol., 54, 766784, doi10.1175/JAMC-D-14-0216.1.

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  • Kim, J.-H., W. N. Chan, B. Sridhar, R. D. Sharman, P. D. Williams, and M. Strahan, 2016: Impact of the North Atlantic Oscillation on transatlantic flight routes and clear-air turbulence. J. Appl. Meteor. Climatol., 55, 763771, doi10.1175/JAMC-D-15-0261.1.

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  • Park, S.-H., J.-H. Kim, R. D. Sharman, and J. B. Klemp, 2016: Update of upper-level turbulence forecast by reducing unphysical components of topography in the numerical weather prediction model. Geophys. Res. Lett., 43, 77187724, doi10.1002/2016GL069446.

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  • Schumann, U., Ed., 2012: Atmospheric Physics: Background–Methods–Trends. Springer, 877 pp., doi10.1007/978-3-642-30183-4.

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  • Sharman, R., and T. Lane, 2016: Aviation Turbulence: Processes, Detection, Prediction. Springer, 523 pp.

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  • Sharman, R., and J. M. Pearson, 2016: Prediction of energy dissipation rates for aviation turbulence. Part I: Forecasting nonconvective turbulence. J. Appl. Meteor. Climatol., 56, 317337, doi10.1175/JAMC-D-16-0205.1.

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  • Sharman, R., S. B. Trier, T. P. Lane, and J. D. Doyle, 2012: Sources and dynamics of turbulence in the upper troposphere and lower stratosphere: A review. Geophys. Res. Lett., 39, L12803, doi10.1029/2012GL051996.

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  • Sharman, R., L. B. Cornman, G. Meymaris, J. Pearson, and T. Farrar, 2014: Description and derived climatologies of automated in situ eddy dissipation rate reports of atmospheric turbulence. J. Appl. Meteor. Climatol., 53, 14161432, doi10.1175/JAMC-D-13-0329.1.

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  • Trier, S. B., R. D. Sharman, and T. P. Lane, 2012: Influences of moist convection on a cold-season outbreak of clear-air turbulence (CAT). Mon. Wea. Rev., 140, 24772496, doi10.1175/MWR-D-11-00353.1.

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  • Williams, P. D., 2016: Transatlantic flight times and climate change. Environ. Res. Lett., 11, 024008, doi10.1088/1748-9326/11/2/024008.

  • Williams, P. D., and M. M. Joshi, 2013: Intensification of winter transatlantic aviation turbulence in response to climate change. Nat. Climate Change, 3, 644648, doi10.1038/nclimate1866.

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  • Wong, W.-K., C.-S. Lau, and P.-W. Chan, 2013: Aviation model: A fine-scale numerical weather prediction system for aviation applications at the Hong Kong International Airport. Adv. Meteor., 2013, 532475, doi10.1155/2013/532475.

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