복잡 지형의 대기질 예측을 위한 지상자료동화의 효용성에 관한 수치연구 = Numerical Study on Surface Data Assimilation for Estimation of Air Quality in Complex Terrain

다국어 초록 (Multilingual 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 is 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

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 수치 모형 및 자료
• 3. 수치모의 설계
• 4. 결과 및 분석
• 5. 결론
• 참고문헌

참고문헌 (Reference)

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12 "Comparative studies in the local circulation induced by land-use and by topography" 101 : 157-182, 2001