Numerical Study on Surface Data Assimilation for Estimation of Air Quality in Complex Terrain

복잡 지형의 대기질 예측을 위한 지상자료동화의 효용성에 관한 수치연구

  • 이순환 (조선대학교 아시아몬순기후환경연구센터) ;
  • 김헌숙 (부산대학교 대기과학) ;
  • 이화운 (부산대학교 대기과학과)
  • Published : 2004.08.01

Abstract

In order to raise the accuracy of meteorological data, several numerical experiments about the usefulness of data assimilation to prediction of air pollution was carried out. Used data for data assimilation are surface meteorological components observed by Automatical Weather System with high spatial density. The usage of surface data assimilation gives changes of temperature and wind fields and the change caused by the influence of land-use on meterological simulation is more sensitive at night than noon. The data quality in assimilation it also one of the important factors to predict the meteorological field precisely and through the static IOA (Index of Agreement), simulated meteorological components with selected limited surface data assimilation are agree well with observations.

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