Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
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Diagnosis of Low-Level Aviation Turbulence Using the Korea Meteorological Administration Post Processing (KMAPP)

고해상도 규모상세화 수치자료 산출체계(KMAPP)를 이용한 저고도 항공난류 진단

  • 석재혁 (국립기상과학원 미래기반연구부) ;
  • 최희욱 (국립기상과학원 미래기반연구부) ;
  • 김연희 (국립기상과학원 미래기반연구부) ;
  • 이상삼 (국립기상과학원 미래기반연구부)
  • Received : 2020.10.04
  • Accepted : 2020.10.23
  • Published : 2020.12.31
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Abstract

In order to diagnose low-level turbulence in Korea, diagnostic indices of low-level turbulence were calculated from Aug 2016 to Jul 2019 using a Korea Meteorological Administration Post Precessing (KMAPP) developed by the National Institute Meteorological Sciences (NIMS), and the indices were evaluated using Aircaft Meteorological Data Relay (AMDAR). In the mean horizontal distribution of diagnostic indices calculated, severe turbulence was simulated along major domestic mountains, including near the Taebaek Mountains, the Sobaek Mountains and Hallasan Mountain on Jeju Island due to geographical factors. Later, detection performance was evaluated by calculating the KMAPP Low-Level Turbulencd index (KLT) on combined index, using AUC value of Individual diagnostic indices as a weight. The result showed that the AUC value of KLT was 0.73, and the detection performance was improved (0.02-0.13) when the index was combined. Also, when looking for the AMDAR data is divided into years, seasons, and altitudes, up to 0.94 AUC values were found in winter (DJF) and the surface (surface-1,000ft). By using high-resolution numerical data reflecting detailed terrain data, local turbulence distribution was well demonstrated and high detection performance was shown at low-level.

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References

  1. Lester, P. F., "Turbulence: A new perspective for pilots". Jeppesen Sanderson, 1994, pp. 212.
  2. Kim, Y.-C., "A verification of threshold of the aircraft turbulence index and icing index using PIREPs and KWRF on Korean peninsula", Journal of the Korean Society for Aviation and Aeronautics, 19(3), 2011, pp. 54-60. https://doi.org/10.12985/KSAA.2011.19.3.054
  3. Lee, D.-B., and H.-Y. Chun, "A numerical study of aviation turbulence encountered on 13 February 2013 over the yellow sea between China and the Korean peninsula", Journal of Applied Meteorology and Climatology, 57(4), 2018, pp. 1043-1060. https://doi.org/10.1175/JAMC-D-17-0247.1
  4. Sharman, R and Pearson, J. M., "Prediction of energy dissipation rates for aviation turbulence. part I: Forecasting nonconvective turbulence.", Journal of Applied Meteorology and Climatology, 56(2), 2017, pp. 317-337. https://doi.org/10.1175/JAMC-D-16-0205.1
  5. Lee, D.-B., and Chun, H.-Y., "Development of the Global-Korean aviation turbulence guidance(Global-KTG) system using the global data assimilation and prediction system (GDAPS) of the Korea meteorological administration(KMA)", Journal of Korean Meteorological Society Atmosphere, 28(2), 2018, pp. 223-232.
  6. ICAO, "Manual on Low-Level Wind Shear First Edition, International Civil Aviation Organization", 2005.
  7. Colson, D., "Analysis of clear-air turbulence data for March 1962", Monthly Weather Review, 91, 1963, pp. 73-82. https://doi.org/10.1175/1520-0493(1963)091<0073:AOCATD>2.3.CO;2
  8. Dutton, M. J. O., "Probability forecasts of clear-air turbulence based on numerical output", Meteorol. Mag., 109, 1980, pp. 293-310.
  9. Ellrod, G., and Knapp, D., "An objective clear-air turbulence forecasting technique: Verification and operational use", Weather and Forecasting, 7, 1992, pp. 150-165. https://doi.org/10.1175/1520-0434(1992)007<0150:AOCATF>2.0.CO;2
  10. Kaplan, M. L., Charney, J. J., Waight K. T., Lux, K. M., Cetola, J. D., Huffman, A. W., Riordan, A. J., Slusser, S. D., Kiefer, M. T., Suffern, P. S., and Lin, Y. L. "Characterizing the severe turbulence environments associated with commercial aviation accidents. A real time turbulence model (RTTM) designed for the operational prediction of hazardous aviation turbulence environments", Meteorology and Atmospheric Physics, 94, 2006, pp. 235-270. https://doi.org/10.1007/s00703-005-0181-4
  11. Sharman, R. D., Tebaldi, C., Wienner, G. and Wolff, J., "An integrated approach to midand upper-level turbulence forecasting", Weather and Forecasting, 21, 2006, pp. 268-287. https://doi.org/10.1175/WAF924.1
  12. Pearson, J. M., and Sharman, R., "Prediction of energy dissipation rates for aviation turbulence. part II: Nowcasting convecitve and nonconvective turbulence", Journal of Applied Meteorology and Climatology, 56(2), 2017, pp. 339-351. https://doi.org/10.1175/JAMC-D-16-0312.1
  13. Storer, L. N., Gill, P. G., and Williams, P. D., "Multi-diagnostic multi-model ensemble forecasts of aviation turbulence", Meteorological Applications, 26, 2020, pp. 416-428.
  14. Lee, S.-J., and Kim, Y.-C., "A numerical forecast and verification of the aircraft turbulence observed over South Korea", Journal of Korean Meteorological Society, 38(5), 2002, pp. 493-507.
  15. Kim, Y.-C., and Park, S.-H, "The analysis of the characteristics of aircraft turbulence using radiosonde data", Journal of the Korean Society for Aviation and Aeronautics, 15(4), 2007, pp. 94-99.
  16. Kim, J.-H., Chun, H.-Y., Jang, W., and Sharman, R. "A study of forecast system for clear-air turbulence in Korea, partII: Graphical turbulence guidance (GTG) system", Journal of Korean Meteorological Society Atmosphere, 19(3), 2009, pp. 269-287.
  17. Kim, J.-H., and Chun, H.-Y., "Developmet of the Korean aviation turbulence guidance (KTG) system using the operational unified model (UM) of the Korean Meteorological Administration (KMA) and pilot reports (PIREPs)", Journal of the Korean Society for Aviation and Aeronautics, 20, 2012, pp. 76-83.
  18. Lee, D.-B., and Chun, H.-Y., "Development of the Korean Peninsula-Korean Aviation Turbulence Guidance (KP-KTG) system using the Local Data Assimilation and Prediction System (LDAPS) of the Korea Meteorological Administration (KMA)", Journal of Korean Meteorological Society Atmosphere, 25, 2015, pp. 367-374.
  19. Dutton, J., and Panofsky, H. A. "Clear air turbulence: A mystery may be unfolding", Science, 167, 1970, pp. 937-744. https://doi.org/10.1126/science.167.3920.937
  20. Tung, K. K., and Orlando, W. W. "The k-3 and K-5/3 energy spectrum of atmospheric turbulence: Quasi geostrophic two-level model simulation", Journal of the Atmospheric Sciences, 60, 2003, pp. 824-835. https://doi.org/10.1175/1520-0469(2003)060<0824:TKAKES>2.0.CO;2
  21. Kim, S.-H., and Chun, H.-Y., "Comparison of turbulence indicators obtained from in situ flight data", Journal of Applied Meteorology and Climatology, 56(6), 2017, pp. 1609-1623. https://doi.org/10.1175/JAMC-D-16-0291.1
  22. WMO, "Aircraft Meteorological Data Relay (AMDAR) Reference Manual", WMO: Geneva, Switzerland, 2003.

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