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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

Abstract

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.

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