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ISSN : 1225-4517(Print)
ISSN : 2287-3503(Online)
Journal of Environmental Science International Vol.29 No.1 pp.45-54
DOI : https://doi.org/10.5322/JESI.2020.29.1.45

High-resolution Meteorological Simulation Using WRF-UCM over a Coastal Industrial Urban Area

Jin-Hee Bang,Mi-Kyoung Hwang,Yangho Kim,Jiho Lee,Inbo Oh*
Environmental Health Center, University of Ulsan College of Medicine, Ulsan 44033, Korea
*Corresponding author: Inbo Oh, Environmental Health Center, University of Ulsan College of Medicine, Ulsan 44033, Korea Phone : +82-52-250-8402

Abstract

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.

WRF-UCM을 이용한 연안산업도시지역 고해상도 기상 모델링

방진희,황미경,김양호,이지호,오인보*
울산대학교 의과대학 환경보건센터

초록

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