High-resolution meteorological simulations were conducted using a Weather Research and Forecasting (WRF) model with an Urban Canopy Model (UCM) in the Ulsan Metropolitan Region (UMR) where large-scale industrial facilities are located on the coast. We improved the land cover input data for the WRF-UCM by reclassifying the default urban category into four detailed areas (low and high-density residential areas, commercial areas, and industrial areas) using subdivided data (class 3) of the Environmental and Geographical Information System (EGIS). The urban area accounted for about 12% of the total UMR and the largest proportion (47.4%) was in the industrial area. Results from the WRF-UCM simulation in a summer episode with high temperatures showed that the modeled temperatures agreed greatly with the observations. Comparison with a standard WRF simulation (WRF-BASE) indicated that the temporal and spatial variations in surface air temperature in the UMR were properly captured. Specifically, the WRF-UCM reproduced daily maximum and nighttime variations in air temperature very well, indicating that our model can improve the accuracy of temperature simulation for a summer heatwave. However, the WRF-UCM somewhat overestimated wind speed in the UMR largely due to an increased air temperature gradient between land and sea.

Abstract
1. 서 론
2. 연구방법
    2.1. 대상영역 및 모델링 기간
    2.2. 기상모델링
3. 결과 및 고찰
    3.1. 울산지역 토지피복
    3.2. WRF-UCM 모델링 결과
4. 결 론
REFERENCES

• 방진희(울산대학교 의과대학 환경보건센터) | Jin-Hee Bang (Environmental Health Center, University of Ulsan College of Medicine)
• 황미경(울산대학교 의과대학 환경보건센터) | Mi-Kyoung Hwang (Environmental Health Center, University of Ulsan College of Medicine)
• 김양호(울산대학교 의과대학 환경보건센터) | Yangho Kim (Environmental Health Center, University of Ulsan College of Medicine)
• 이지호(울산대학교 의과대학 환경보건센터) | Jiho Lee (Environmental Health Center, University of Ulsan College of Medicine)
• 오인보(울산대학교 의과대학 환경보건센터) | Inbo Oh (Environmental Health Center, University of Ulsan College of Medicine) Corresponding author