Atmosphere (대기)

Korean Meteorological Society (한국기상학회)
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Climatological Characteristics and Trends of Instability Indices and Environmental Parameters for Rainy Season over South Korea Using Rawinsonde Data

레윈존데 자료를 이용한 남한의 우기 불안정지수와 환경변수의 특성과 변화 경향 분석

  • Min-Su Kim (Department of Atmospheric Science, Kongju National University) ;
  • Myoung-Seok Suh (Department of Atmospheric Science, Kongju National University)
  • 김민수 (국립공주대학교 대기과학과) ;
  • 서명석 (국립공주대학교 대기과학과)
  • Received : 2024.08.16
  • Accepted : 2024.10.06
  • Published : 2024.11.30
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Abstract

The frequency and intensity of extreme weather events are increasing due to climate change, causing significant social and economic damage. Consequently, understanding the climatological atmospheric environment and trends in Korea is becoming important. This study analyzes diurnal and intra-seasonal variations of instability indices and environmental parameters (Inst_Inds) using rainy season (May to September) upper-air data from seven stations in Korea. We also analyzed trends in the mean of the Inst_Inds and the counts over the moderately unstable threshold (MUT). CAPE, LI, and TPW exhibit diurnal variation more unstable at 1200 UTC, while KI, SWEAT, and SSI show the most stable at 0600 UTC. Most Inst_Inds show stronger instability in July and August compared to May, June and September, indicating significant intra-seasonal variations. SWEAT and TPW generally show destabilizing trends regardless of station and month, whereas other indices do not exhibit consistent trends. CAPE and LI show destabilizing trends at Baengnyeongdo and Bukgangneung, but stabilizing trends at Osan, Gwangju, and National Typhoon Center. These trends are particularly strong in July and August, and at Baengnyeongdo and Bukgangneung stations, indicating increased instability in northern Korea. The tendency of MUT excess frequency varies from station to station in most instability indices, but TPW shows an increasing trend regardless of the station. The inconsistent trend of counts over MUT in Inst_Inds with the recent increase in frequency and intensity of heavy rain in Korea suggests the need to adjust thresholds that currently do not reflect changes in extreme precipitation characteristics.

Keywords

Acknowledgement

본 논문의 개선을 위해 좋은 의견을 제시해 주신 심사위원분들께 감사를 드립니다. 이 연구는 기상청<「위험기상 선제대응 기술개발사업」> (RS-2023-00239653)과 2024년 국립공주대학교 학술연구지원사업의 지원을 받아 수행되었습니다.

References

  1. Chakraborty, R., G. Basha, and M. V. Ratnam, 2018: Diurnal and long-term variation of instability indices over a tropical region in India. Atmos. Res., 207, 145-154, doi:10.1016/j.atmosres.2018.03.012. 
  2. Chung, Y.-S., M.-B. Yoon, and H.-S. Kim, 2004: On climate variations and changes observed in South Korea. Clim. Change, 66, 151-161, doi:10.1023/B:CLIM.0000043141.54763.f8. 
  3. Craven, J. P., H. E. Brooks, and J. A. Hart, 2004: Baseline climatology of sounding derived parameters associated with deep, moist convection. Natl. Wea. Dig., 28, 13-24. 
  4. Dalezios, N. R., and N. K. Papamanolis, 1991: Objective assessment of instability indices for operational hail forecasting in Greece. Meteor. Atmos. Phys., 45, 87-100, doi:10.1007/BF01027477. 
  5. Davis, R. E., T. M. Stanmeyer, and G. V. Jones, 1997: A synoptic climatology of tornadoes in Virginia. Phys. Geogr., 18, 383-407, doi:10.1080/02723646.1997.10642626. 
  6. Doswell III, C. A., and E. N. Rasmussen, 1994: The effect of neglecting the virtual temperature correction on CAPE calculations. Wea. Forecasting, 9, 625-629, doi:10.1175/1520-0434(1994)009<0625:TEONTV>2.0.CO;2. 
  7. Emanuel, K. A., 1994: Atmospheric convection. Oxford University Press, 569 
  8. Eom, H.-S., M.-S. Suh, J.-C. Ha, Y. H. Lee, and H.-S. Lee, 2008: Climatology of stability indices and environmental parameters derived from rawinsonde data over South Korea. Asia-Pac. J. Atmos. Sci., 44, 269-286. 
  9. Eom, H.-S., and M.-S. Suh, 2011: Trends of stability indices and environmental parameters derived from the rawinsonde data over South Korea. J. Korean Earth Sci. Soc., 32, 461-473, doi:10.5467/JKESS.2011.32.5.461. 
  10. Ferreira, R., M. Reboita, D. Herdies, and C. Beneti, 2016: Trend of the instability indices in South America. Cienc. Nat., 38, 164-169, doi:10.5902/2179460X19839. 
  11. Galway, J. G., 1956: The lifted index as a predictor of latent instability. Bull. Amer. Meteor. Soc., 37, 528-529, doi:10.1175/1520-0477-37.10.528. 
  12. George, J. J., 1960: Weather and Forecasting for Aeronautics. Academic Press, 673
  13. Hong, J., J. Jeon, and C. Ryu, 2015: A case study on heavy rainfall using a wind profiler and the stability index. J. Chosun Natl. Sci., 8, 221-232, doi:10.13160/ricns.2015.8.3.221. 
  14. Hwang, S.-O., and D.-K. Lee, 1993: A study on the relationship between heavy rainfall and associated low-level jets in the Korean peninsula. J. Kor. Meteor. Soc., 29, 133-146. 
  15. Jung, H.-S., Y. Choi, J.-H. Oh, and G.-H. Lim, 2002: Recent trends in temperature and precipitation over South Korea. Int. J. Climatol., 22, 1327-1337, doi:10.1002/joc.797. 
  16. Jung, J.-I., J.-Y. Kim, and J.-C. Nam, 2002: Seasonal atmospheric stability analysis for artificial precipitation experiments. Atmosphere, 12, 568-573. 
  17. Jung, S.-P., S.-R. In, H.-W. Kim, J.-K. Sim, S.-O. Han, and B.-C. Choi, 2015: Classification of atmospheric vertical environment associated with heavy rainfall using Long-Term radiosonde observational data, 1997~2013. Atmosphere, 25 611-622, doi:10.14191/ATMOS.2015.25.4.611. 
  18. Kim, H. R., M. Moon, J. Yun, and K.-J. Ha, 2023: Trends and spatio-temporal variability of summer mean and extreme precipitation across South Korea for 1973~2022. Asia-Pac. J. Atmos. Sci., 59, 385-398, doi:10.1007/s13143-023-00323-7. 
  19. Kim, S.-Y., H.-J. Song, and H. Lee, 2019: Mesoscale features and forecasting guidance of heavy rain types over the Korean peninsula. Atmosphere, 29, 463-480, doi:10.14191/Atmos.2019.29.4.463. 
  20. Kim, Y.-C., and S.-J. Ham, 2009: Heavy rainfall prediction using convective instability index. J. Kor. Soc. Avi. Aero., 17, 17-23. 
  21. KIPA, 2023: Issue Paper, Korea Institute of Public Administration, 14 pp (in Korean). 
  22. Marinaki, A., M. Spiliotopoulos, and H. Michalopoulou, 2006: Evaluation of atmospheric instability indices in Greece. Adv. Geosci., 7, 131-135, doi:10.5194/adgeo7-131-2006. 
  23. Miller, R. C., 1972: Notes on analysis and severe-storm forecasting procedures of the Military Warning Center. Air Weather Service (MAC). Technical Report 200, Scott Air Force Base, IL, 43 pp. 
  24. NDMI, 2023: Disaster & Safety, National Disaster Management Research Institute, 17-26. 
  25. Papalexiou, S. M., and A. Montanari, 2019: Global and regional increase of precipitation extremes under global warming. Water Resour. Res., 55, 4901-4914, doi:10.1029/2018WR024067. 
  26. Park, C.-G., and T.-Y. Lee, 2008: Structure of mesoscale heavy precipitation systems originated from the Changma front. Atmosphere, 18, 317-338. 
  27. Park, C.-K., M. Chang, C.-H. Ho, K.-J. Ha, J. Kim, and B.-J. Sohn, 2021: Two types of diurnal variations in heavy rainfall during July over Korea. Adv. Atmos. Sci., 38, 2201-2211, doi10.1007/s00376-021-1178-8. 
  28. Park, I.-K., and M.-S. Suh, 2022: Current status and trends of extreme precipitation characteristics during the last 30 Years (1991~2020) over Korea. J. Climate Res., 17, 69-87, doi:10.14383/cri.2022.17.2.69. 
  29. Peppler, R. A., 1988: A review of static stability indices and related thermodynamic parameters. ISWS Miscellaneous Publication MP-104. 94 pp. 
  30. Showalter, A. K., 1953: A stability index for thunderstorm forecasting. Bull. Amer. Meteor. Soc., 34 250-252. 
  31. Sohn, B. J., G.-H. Ryu, H.-J. Song, and M.-L. Ou, 2013: Characteristic features of warm-type rain producing heavy rainfall over the Korean peninsula inferred from TRMM measurements. Mon. Wea. Rev., 141, 3873-3888, doi:10.1175/MWR-D-13-00075.1. 
  32. Song, H.-J., and B.-J. Sohn, 2015: Two heavy rainfall types over the Korean peninsula in the humid East Asian summer environment: A satellite observation study. Mon. Wea. Rev., 143, 363-382, doi:10.1175/MWR-D-14-00184.1. 
  33. Song, H.-J., B. Lim, and S. Joo, 2019: Evaluation of rainfall forecasts with heavy rain types in the high-resolution Unified Model over South Korea. Wea. Forecasting, 34, 1277-1293, doi:10.1175/WAF-D-18-0140.1. 
  34. Venkataramanan, M., 2011: Causes and effects of global warming. Indian J. Sci. Technol., 4, 226-229, doi:10.17485/ijst/2011/v4i3.17. 
  35. Williams, E., and N. Renno, 1993: An analysis of the conditional instability of the tropical atmosphere. Mon. Wea. Rev., 121, 21-36, doi:10.1175/1520-0493(1993)121<0021:AAOTCI>2.0.CO;2.