Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
권호 표지
DOI QR코드

DOI QR Code

Spatial Distribution of Strong Winds on the Korean Peninsula during the Non-Typhoon affecting Period - Observations and Strong Wind Special Report-

한반도 비태풍시기 강풍의 공간적 분포 특징 - 관측 자료와 강풍특보 자료 -

  • Na, Hana (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University) ;
  • Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering/Atmospheric Environment Information Research Center, Inje University)
  • 나하나 (인제대학교 대기환경정보공학과/대기환경정보연구센터) ;
  • 정우식 (인제대학교 대기환경정보공학과/대기환경정보연구센터)
  • Received : 2021.08.27
  • Accepted : 2021.09.10
  • Published : 2021.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

The spatial characteristics of typhoon-class strong wind during the non-typhoon period were analyzed using, a cluster analysis of the observational data and of special strong wind advisories and, warnings issued by the Korean Meteorological Administration. On the Korean Peninsula, strong winds during non-typhoon periods showed a wide variety of spatial characteristics. In particular, the cluster analysis showed that strong winds could be classified into six clusters on the Korean Peninsula, and that the spatial distribution, occurrence rate of strong winds, and strong wind speed in each cluster were complex and diverse. In addition, our analysis of the frequency of issuance of special strong wind warnings showed a significant difference in the average frequency of strong wind warnings issued in metropolitan cities, with relatively high numbers of warnings issued in Gyeongsangbuk-do and, Jeollanam-do, and low numbers of warning issued inland and in other metropolitan cities. As a result of the changing trend in warnings issued from 2004 to 2019, Ulsan and Busan can be interpreted as having a relatively high number of warnings; the frequency of strong wind warnings issuances and strong wind occurrences in these cities is increasing rapidly. Based on the results of this study, it is necessary to identify areas with similar strong wind characteristics and consider specific regional standards in terms of disaster prevention.

Keywords

Acknowledgement

이 성과는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (No. 2020R1F1A1068738).

References

  1. Ham, J. H., Jung, H. Y., Gwak, K. H., 2017, Characteristics of strong wind distribution on the korean peninsula using synoptic weather observation data, Proceedings of the Korean Meteorological Society Conference, 589-590.
  2. Jiang, Y., Luo, Y., Zhao, Z., Tao, S., 2010, Changes inwind speed over China during 1956-2004, Theor. Appl. Climatol., 99, 421-430. https://doi.org/10.1007/s00704-009-0152-7
  3. Kim, H. Y., Kim, B. J., Nam, H. G., Jung, J. H., Shim, J. K., 2020, Climatological spatio-temporal variation of strong wind in Korea, Atmosphere, 30, 47-57. https://doi.org/10.14191/Atmos.2020.30.1.047
  4. Na, H. N., Jung, W. S., 2020, A Study on improving the prediction accuracy of a typhoon disaster prevention model part II: Sensitivity of the WRF Model to GDAPS, RDAPS, GFS data, J. Korean Soc. Atmos. Environ., 36(4), 522-532. https://doi.org/10.5572/kosae.2020.36.4.522
  5. Na, H. N., Jung, W. S., 2021, Characteristics of strong winds on the korean peninsula during the non-typhoon period: data analysis for 116 years from 1904 to 2019, J. Korean Soc. Atmos. Environ., 37, 55-65. https://doi.org/10.5572/KOSAE.2021.37.1.055
  6. Park, J. Y., Kim, O. J., Lee, J. W., Lee, S. K., 2020, A Study on the establishment of typhoon context awareness information through analysis of disaster cases, J. Soc. Dis. Infor., 16, 430-439. https://doi.org/10.15683/KOSDI.2020.09.30.430
  7. Peterson, E. W., Hennessey, J. P., 1978, On the use of power laws for estimates of wind power potential, J. Appl. Meteor., 17, 390-394. https://doi.org/10.1175/1520-0450(1978)017<0390:OTUOPL>2.0.CO;2
  8. Pryor, S. C., Schoof, J. T., Barthelmi, R. J., 2005, Empirical downscaling of wind speed probability distributions, J. Geophys. Res. Atmos., 110, D19109. https://doi.org/10.1029/2005JD005899
  9. Wan, H., Wang, X. L., Swil, V. R., 2010, Homogenization and trend analysis of Canadian near-surface wind speeds, J. Climate., 23, 1209-1225. https://doi.org/10.1175/2009JCLI3200.1
  10. Weisser, D., Foxon, T. J., 2003, Implications of seasonal and diurnal variations of wind velocity for power output estimation of a turbine: a case study of Grenada. Int. J. Energy Res., 27, 1165-1179(Observation Data, Journal of the Korea Meteorological Association Conference, 589-590). https://doi.org/10.1002/er.938