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한반도 및 동아시아 지역에서 조종사 보고 자료로 관측된 항공난류의 통계적 분석

A Statistical Analysis of Aviation Turbulence Observed in Pilot Report (PIREP) over East Asia Including South Korea

  • Lee, Dan-Bi (Department of Atmospheric Sciences, Yonsei University) ;
  • Chun, Hye-Yeong (Department of Atmospheric Sciences, Yonsei University)
  • 투고 : 2014.12.08
  • 심사 : 2015.02.03
  • 발행 : 2015.03.31

초록

The statistical analysis of aviation turbulence occurred over South Korea and East Asia regions is performed, using pilot reports (PIREPs) during December 2002~November 2012 that were provided by the Korea Aviation Meteorological Agency (KAMA) and the National Center for Atmospheric Research (NCAR). In South Korea, the light (LGT)- and moderate or greater (MOG)-level turbulence events occurred most frequently in spring and winter due to strong vertical wind shear below or above jet stream in these seasons. Spatially, the LGT- and MOG-level events occurred mainly along domestic flight routes. The higher occurrences of the LGT- and MOG-level convectively induced turbulence (CIT) events show in spring and summer when convective systems frequently affect the Korean peninsula. The results are generally similar to a previous study on the aviation turbulence over South Korea during 2003~2008, except that MOG-level CIT events occurred more in February, June, and October. Over East Asia region, the LGT- and MOG-level events appeared mostly in summer and spring, respectively, and the highest occurrence is over the southeast region of Japan and Kamchatka peninsula near Russia.

키워드

참고문헌

  1. Dutton, J. A., and H. A. Panofsky, 1970: Clear air turbulence: A mystery may be unfolding. Science, 167, 937-944. https://doi.org/10.1126/science.167.3920.937
  2. Dutton, M. J. O., 1980: Probability forecasts of clear-air turbulence based on numerical output. Meteor. Mag., 109, 293-310.
  3. Ellrod, G., and D. Knapp, 1992: An objective clear-air turbulence forecasting technique: Verification and operational use. Wea. Forecasting, 7, 150-165. https://doi.org/10.1175/1520-0434(1992)007<0150:AOCATF>2.0.CO;2
  4. Gill, P. G., 2014: Objective verification of world area forecast centre clear air turbulence forecasts. Meteor. Appl, 21, 3-11. https://doi.org/10.1002/met.1288
  5. Jaeger, E. B., and M. Sprenger, 2007: A Northern Hemispheric climatology of indices for clear air turbulence in the tropopause region derived from ERA40 reanalysis data. J. Geophys. Res., 112, D20106, doi:10.1029/2006JD008189.
  6. Kaplan, M. L., A. W. Huffman, K. M. Lux, J. J. Charney, A. J. Riordan, and Y.-L. Lin, 2005: Characterizing the severe turbulence environments associated with commercial aviation accidents. Part 1: A 44-case study synoptic observational analyses. Meteor. Atmos. Phys., 88, 129-152. https://doi.org/10.1007/s00703-004-0080-0
  7. A. J. Riordan, and Coauthors, 2006: 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. Meteor. Atmos. Phys., 94, 235-270. https://doi.org/10.1007/s00703-005-0181-4
  8. Kim, J.-H., and H.-Y. Chun, 2011a: Statistics and possible sources of aviation turbulence over South Korea. J. Appl. Meteor. Climatol., 50, 311-324. https://doi.org/10.1175/2010JAMC2492.1
  9. Kim, J.-H., and H.-Y. Chun, 2011b: Development of the Korean mid- and upper-level aviation Turbulence Guidance (KTG) system using the regional unified model. Atmosphere, 21, 497-506 (in Korean with English abstract).
  10. 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. Aeron., 20, 76-83.
  11. Kim, J.-H., H.-Y. Chun, W. Jang, and R. D. Sharman, 2009: A study of forecast system for clear-air turbulence in Korea, Part II: Graphical Turbulence Guidance (GTG) system. Atmosphere, 19, 269-287 (in Korean with English abstract).
  12. Koch, P., H. Wernli, and H. W. Davies, 2006: An eventbased jet-stream climatology and typology. Int. J. Climatol., 26, 283-301. https://doi.org/10.1002/joc.1255
  13. Lester, P. F., 1994: Turbulence: A New Perspective for Pilots. Jeppesen Sanderson, 212 pp.
  14. Lane, T. P., T. L. Clark, and H.-M. Hsu, 2003: An investigation of turbulence generation mechanisms above deep convection. J. Atmos. Sci., 60, 1297-1321. https://doi.org/10.1175/1520-0469(2003)60<1297:AIOTGM>2.0.CO;2
  15. Lane, T. P., R. D. Sharman, S. B. Trier, R. G. Fovell, and J. K. Williams, 2012: Recent advances in the understanding of near-cloud turbulence. Amer. Meteor. Soc., 93, 499-515. https://doi.org/10.1175/BAMS-D-11-00062.1
  16. National Transportation Safety Board, 2009: U.S. Air Carrier Operations, Calendar Year 2005. Annual review of aircraft accident data. NTSB/ARC-09/01, Washington, DC, 66 pp.
  17. Pantley, K. C., and P. F. Lester, 1990: Observations of severe turbulence near thunderstorm tops. J. Appl. Meteor., 29, 1171-1179. https://doi.org/10.1175/1520-0450(1990)029<1171:OOSTNT>2.0.CO;2
  18. Sharman, R., C. Tebaldi, G. Wiener, and J. Wolff, 2006: An integrated approach to mid- and upper-level turbulence forecasting. Wea. Forecasting, 21, 268-287. https://doi.org/10.1175/WAF924.1
  19. 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, 1416-1432. https://doi.org/10.1175/JAMC-D-13-0329.1

피인용 문헌

  1. Aviation turbulence encounters detected from aircraft observations: spatiotemporal characteristics and application to Korean Aviation Turbulence Guidance vol.23, pp.4, 2016, https://doi.org/10.1002/met.1581
  2. Comparison of Turbulence Indicators Obtained from In Situ Flight Data vol.56, pp.6, 2017, https://doi.org/10.1175/JAMC-D-16-0291.1
  3. Development of Near-Cloud Turbulence Diagnostics Based on a Convective Gravity Wave Drag Parameterization vol.58, pp.8, 2019, https://doi.org/10.1175/JAMC-D-18-0300.1