Journal of the Korean earth science society (한국지구과학회지)

The Korean Earth Science Society (한국지구과학회)
권호 표지

An Analysis and Numerical Simulation on Southwestern Prevailing Wind Phenomenon around Pohang in Winter

포항지역의 겨울철 남서계열 탁월풍 현상에 관한 분석 및 수치모의

  • Lee, Hwa-Woon (Department of Atmospheric Sciences, Pusan National University) ;
  • Kim, Hyun-Goo (Environment & Energy research center, Research Institute of Industrial Science & Technology) ;
  • Jung, Woo-Sik (Department of Atmospheric Sciences, Pusan National University)
  • 이화운 (부산대학교 대기과학과) ;
  • 김현구 (포항산업과학연구원 환경에너지 연구센터) ;
  • 정우식 (부산대학교 대기과학과)
  • Published : 2003.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

The prevailing wind phenomenon around Pohang in winter was investigated by using surface and vertical observatory datas and a numerical simulation was carried out to analyse this phenomenon using RAMS. Direction of the prevailing wind was westerly at upper atmosphere. However, near the surface, southwestern wind prevailed in winter. Using the RAMS to simulate a winter wind system numerically, it was found out that this phenomenon was strongly affected by the geographical features such as directions of coastline and low level valley, and distributions of land and sea. To investigate the accuracy of the model results, wind speed, temperature and wind direction of typical continuous southwestern wind occurring days were compared with observation data. Analyzing the characteristics of local circulation system was very hard because of horizontally sparse observation data. But from the result above, a numerical simulation using the RAMS, which satisfies the spatial high resolution, will provide more accurate results.

지표 및 연직기상자료를 이용하여 포항지역 주변의 겨울철 탁월풍 현상을 살펴보고 이 현상을 분석하기 위해 RAMS를 이용한 수치모의를 수행하였다. 조사결과, 상층대기에서는 서풍을 보였으나 지표부근에서는 남서풍이 탁월하였다. RAMS를 이용하여 겨울철 풍계를 살펴본 결과, 이러한 겨울철 탁월풍 현상은 해안선의 형태와 낮은 구릉지, 그리고 바다와 육지의 분포 등의 지형적 특징에 의해 크게 영향을 받는 것으로 분석되었다. 이상의 모형결과의 정확성을 살펴보기 위해 일 중 지속적인 남서풍이 관측되었던 날들의 풍속, 기온, 풍향을 대상으로 관측값과 모형결과값을 비교하였다. 일반적으로 기상관측망은 공간적으로 조밀하지 못하기 때문에 국지순환계의 특징을 자세히 살펴보기가 쉽지 않다. 하지만 이러한 공간적 고분해능을 만족하는 수치모형을 이용한다면 더욱 정확한 결과를 제공받을 수 있을 것이다.

Keywords

References

  1. 김영성, 오현선, 2000, 여수지역 대기확산의 수치모사-I. 지형의 영향. 한국대기환경학회지, 16(3), 211-223
  2. 오현선, 김영성, 2000, 여수지역 대기확산의 수치모사-II. 일사에 의한 일변화. 한국대기환경학회지, 16(3), 225-236
  3. 이화운, 1987, 지역대기환경의 수치예측 모델에 관한 연구. 일본 오사카대학교 박사학위논문, 105 p
  4. 이화운, 김유근, 정우식, 2000, 복잡한 연안지역에서 해풍시작시 지형의 영향에 대한 수치모의. 한국기상학회지, 36(5), 561-572
  5. 정우식, 이화운, 2002, 해풍시작에 영향을 미치는 지형성 강풍현상에 대한 고찰. 한국환경과학회지, 11(4), 289-295
  6. Atkinson, B. W., 1981, Meso-scale Atmospheric Circula-tion. Academic Press, London, 125-209
  7. Batchvarova, E., Cai, X. M., Gryning, S. E. and Steyn, D., 1999, Modelling internal boudnary-layer development in a region with a complex coastline. Boundary-Layer Meteorology, 90, 1-20 https://doi.org/10.1023/A:1001751219627
  8. Bossert, J. E., 1997, An Investigation of Flow Regtmes Affecting the Mexico City Region. Joumal of Applied Meteorology, 36, 119-140 https://doi.org/10.1175/1520-0450(1997)036<0119:AIOFRA>2.0.CO;2
  9. Businger, J. A., Wmgaard, J. C., Izumi, Y. and Bradley, R, 1971, Hux-Profile relationships in the atmosphere sur-face layer. Joumal of Atmospheric Sciences, 28, 181-189 https://doi.org/10.1175/1520-0469(1971)028<0181:FPRITA>2.0.CO;2
  10. Cai, X. M. and Steyn D. G., 2000, Modelling study of sea breezes in a complex coastal environment. Atmospheric Environment, 34, 2873-2885 https://doi.org/10.1016/S1352-2310(00)00079-0
  11. dark, T. L., 1977, A small-scale dynamic model using a terrain-following coordinate transformation. Journal of Computational Physics, 24, 186-215 https://doi.org/10.1016/0021-9991(77)90057-2
  12. Gal-chen, T. and Somerville, R. C. J., 1975, On the use of a coordinate transformation for the solution of the Navier-Stokes equation. Joumal of Computational Phys-ics, 17, 209-228 https://doi.org/10.1016/0021-9991(75)90037-6
  13. Hogrefe, C., Rao, S. T, Kasibhatla Prasad, Kallos G., Tremback C. J., Hao W., Olerud, D., Xiu, A., McHenry J. and Alapaty, K., 2001, Evaluating the performance of regional-scale photochemical modeling systems: Part I-meteorological predictions. Atmospheric Environment, 31, 4159-4174
  14. Kikuchi, Y, 1975, Kainkufu no suchi simulation (Numeii-cal simulation of land and sea breeze). Kisho-Kenkyu Note, 125, 21-49
  15. Kimura, F. and Kuwagata, T., 1993, Thermally Induced Wind Passing from Plain to Basin over a Mountain Range. Joumal of Applied Meteorology, 32, 1538-1547 https://doi.org/10.1175/1520-0450(1993)032<1538:TIWPFP>2.0.CO;2
  16. Klemp, J. B. and Durran, D. R., 1983, An upper bound-ary condition permitting internal gravity wave radiation in numerical mesoscale models. Monthly Weather Review, 111,430-444 https://doi.org/10.1175/1520-0493(1983)111<0430:AUBCPI>2.0.CO;2
  17. Klemp, J. B. and Wilhelmson, R. B., 1978, The simula-tion of three-dimensional convective storm dynamics. Joumal of Atmospheric Sciences, 35, 1070-1096 https://doi.org/10.1175/1520-0469(1978)035<1070:TSOTDC>2.0.CO;2
  18. Kurita, H., Sasaki, K., Muroga, H., Ueda, H. and Waka-matsu, S., 1985, Long-range transport of air pollution under light gradient wind conditions. Journal of Cli-mate Applied Meteorology, 24, 425-434 https://doi.org/10.1175/1520-0450(1985)024<0425:LRTOAP>2.0.CO;2
  19. Louis, J. R, 1979, A parametric model of vertical eddy fluxes in the atmosphere. Boundary-Layer Meteorology, 17, 187-202 https://doi.org/10.1007/BF00117978
  20. McCumber, M. C. and Pielke, R. A., 1981, Simulation of the effects of surface fluxes of heat and moisture in a mesoscale numerical model, Part I: Soil layer. Journal of Geophysical Research, 86, 9929-9938 https://doi.org/10.1029/JC086iC10p09929
  21. Mesinger, F. and Arakawa, A., 1976, Numerical method used in atmospheric models. GARP Publication Series, No. 14, WMO/ICSU joint Organizing Committee, 64
  22. Orlanski, I., 1976, A simple boundary condition for unbounded hyperbolic flows. Joumal of Computational Physics, 21, 251-269 https://doi.org/10.1016/0021-9991(76)90023-1
  23. Relke, R. A., 1974, A three dimensional numerical model of the sea breeze over the South Floiida. Monthly Weather Review, 102, 115-139 https://doi.org/10.1175/1520-0493(1974)102<0115:ATDNMO>2.0.CO;2
  24. Stephan, F. J., Wekker, De, Shiyuan, Z., Jerome, D. F. and David, W., 1998, A Numerical Study of the Thermally Plain-to-Basin Wind over Idealized Basin Topographies. Journal of Applied Meteorology, 37, 606-622 https://doi.org/10.1175/1520-0450(1998)037<0606:ANSOTT>2.0.CO;2
  25. Tremback, C. J. and Kessler, R., 1985, A surface tempera-ture and moisture parameterization for use in mesos-cale numerical models, Preprint, 7th Conference on Numerical Weather Prediction, 17-20 June 1985, Mont-real, Canada, AMS
  26. Tripoli, G. J. and Cotton, W. R., 1982, The Colorado State University three-dimensional cloud/mesoscale model-1982. Part I: General theoretical framework and sensi-tivity experiments. Joumal of Atmosphere, 16, 185-220