수치 대기 모델을 이용한 수변 지역 안개 발생 및 시정 산정에 관한 연구 = A Study on Fog Formation and Visibility Estimation in Waterfront Area Using Meteorological Model

다국어 초록 (Multilingual Abstract)

Fog can have severe impacts on human life (e.g., accidents in transportation systems) because it causes low visibility.
Areas prone to fog near the sea or a river require accurate fog forecasts. In this study, we analyzed the characteristics of fog occurrence around Gumi Reservoir, a part of the inland Nakdong River. We also simulated and predicted visibility using the Weather Research and Forecasting (WRF) model. Visibility was estimated using several point measurements and several different methods: Stoelinga and Warner (SW99), Rapid Update Cycle (RUC), the Forecast System Laboratory (FSL), Decision Tree (DT), revised visibility (RVIS) and Gultepe_06 methods. The DT method showed a pattern similar to the observed fog occurrences. In this study, the Gulteppe_06 method produced the best performance under the lowest visibility situation, although there is some discrepancy in microphysics' simulated results, followed by DT and RUC.

참고문헌 (Reference)

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