|
KMID : 1024520200290010045
|
|
Journal of the Environmental Sciences
2020 Volume.29 No. 1 p.45 ~ p.54
|
|
|
High-resolution Meteorological Simulation Using WRF-UCM over a Coastal Industrial Urban Area
|
|
Bang Jin-Hee
Hwang Mi-Kyoung
Kim Yang-Ho
Lee Ji-Ho
Oh In-Bo
|
|
|
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.
|
|
|
KEYWORD
|
|
|
Meteorological simulations, WRF-UCM, Ulsan, Industrial area, Air temperature
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|