Numerical study on temporal resolution of meteorological information for prediction of Asian dust

황사의 확산예측을 위한 기상정보의 시간해상도에 관한 수치연구

  • Lee Soon-Hwan (Center for Asia Monsoon, Climate Environment Research, Chosun Univ.) ;
  • Gwak Eun-Young (Center for Asia Monsoon, Climate Environment Research, Chosun Univ.) ;
  • Ryu Chan-Su (Center for Asia Monsoon, Climate Environment Research, Chosun Univ.) ;
  • Moon Yun-Seob (Department of Environmental Engineering, Anyang Univ.)
  • 이순환 (조선대학교 아시아몬순 기후환경연구센터) ;
  • 곽은영 (조선대학교 아시아몬순 기후환경연구센터) ;
  • 류찬수 (조선대학교 아시아몬순 기후환경연구센터) ;
  • 문윤섭 (안양대학교 환경공학과)
  • Published : 2004.10.01


In order to predict air pollution and Yellow-sand dispersion precisely, it is necessary to clarify the sensitivity of meteorological field input interval. Therefore numerical experiment by atmospheric dynamic model(RAMS) and atmospheric dispersion model(PDAS) was performed for evaluating the effect of temporal and spatial resolution of meteorological data on particle dispersion. The results are as follows: 1) Base on the result of RAMS simulation, surface wind direction and speed can either synchronize upper wind or not. If surface wind and upper wind do not synchronize, precise prediction of Yellow-sand dispersion is strongly associated with upwelling process of sand of particle. 2) There is no significant discrepance in distribution of particle under usage of difference temporal resolution of meteorological information at early time of simulation, but the difference of distribution of particles become large as time goes by. 3) There is little difference between calculated particles distributions in dispersion experiments with high temporal resolution of meteorological data. On the other hand, low resolution of meteorological data occur the quantitative difference of particle density and there is strong tendency to the quantitative difference.


  1. lng, G. T. K., 1972, A dust storm over the central China, April 1969, Weather, 37, 136-145
  2. Murayama , N., 1988, Dust clouds 'kosa' from the east Asian dust stormsin 1982-1988 as observed by the GMS satellite, Meteorological Satellite Center Technical Note, No. 17. November, 1-8
  3. Fujita, S., Y. Ichikawa and R. K. Kawaratani, 1991, Preliminary inventory of sulfur dioxide emissions in East Asia, Atmos. Environ., 25A, 1409-1411
  4. 최재천, 오성남, 김정식, 김주공, 2001, 한반도 도서지역의 습성오염물질 강하량과 이동경로 사례분석, 한국기상학회지, 37(4), 329-346
  5. Chun. Y. S, J. Y. Kim. J. C. Cho. K. O. Boo, S. N. Oh and M. H. Lee, 2001, Characteristic number size distribution of aerosol during asian dust period in Korea, Atmos. Environ., 35, 2715-2721
  6. Rau, J. A. and M. A. K. Khalil, 1994, Anthropogenic contributions to the carbonaceous con tent of aerosol over the Pacific Ocean, Atrnos. Environ., 28. 1297-1307
  7. 정관영, 박순웅, 1998, 황사의 크기 및 침착량에 대한 수치모의, 한국대기보전학회지, 14(3), 191-208
  8. 전종갑, 1991, 대기오염물질 수송과 관련된 동부아시아 상충대기의 순환특서에 관한 연구, 한국기상학회지, 27(2), 180-196
  9. 전종갑, 예상옥, 권민호, 정용승, 2000, 한반도에서 관측된 1998년 4월 황사의 특성 및 장거리 수송패턴 분석, 한국기상학회지, 36(3), 405-416
  10. 정용승, 윤마병, 1994, 황사의 사례분석과 한반도 유입량. 한국대기보전학회지, 10(4), 233-244
  11. 이순환, 이화운, 김유근, 2002, 복잡지형에서 도시화에 따른 대기오염 확산에 관한 시뮬레이션, 한국대기환경학회지, 18(2), 683-697
  12. 이순환, 황수진, 서광수, 2004, 산악지역 도로건설에 따른 국지애기순환의 변화에 관한 연구, 한국지구과학회지, 25(2), 94-108
  13. 류찬수, 신유미, 이순환, 2004, 해안지형 복잡성이 중규모 순환장에 미치는 영향에 관한 수치실험, 한국기상학회지, 40(1), 71-86
  14. Mellor, G. L. and T. Yamada, 1974, A Hierarchy of Turbulence Closure Models for Plan etary Boundary Layer, J. Atmos. Sci., 31, 1971-1806
  15. Deardorff, J. W., 1978, Efficient prediction of ground surface temperature and moisture with inclusion of layer of vegetation, J. Geophys. res., 83, 1889-1903
  16. Louis, J. F., 1979, A parametric model of vertical eddy fluxes in the atmosphere, BoundLayer moteor., 17, 187-202
  17. Tremback, C. J. and R. Kessler, 1985, A surface temperature and moisture parameterization for use in mesoscale numerical models. Preprints, 7th Conference on Mumerical Weather Prediction, 17-20 June 1985, Montreal, Canada, AMS