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http://dx.doi.org/10.14191/Atmos.2019.29.5.567

Construction and Case Analysis of Detailed Urban Characteristic Information on Seoul Metropolitan Area for High-Resolution Numerical Weather Prediction Model  

Lee, Hankyung (Air Quality Forecasting Center, Climate and Air Quality Research Department, National Institute of Environmental Research)
Jee, Joon-Bum (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies)
Yi, Chaeyeon (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies)
Min, Jae-Sik (Research Center for Atmospheric Environment, Hankuk University of Foreign Studies)
Publication Information
Atmosphere / v.29, no.5, 2019 , pp. 567-583 More about this Journal
Abstract
In this study, the high-resolution numerical simulations considering detailed anthropogenic heat, albedo, emission and roughness length are analyzed by using single layer Urban Canopy Model (UCM) in Weather Research Forecast (WRF). For this, improved urban parameter data for Seoul Metropolitan Area (SMA) was collected from global data. And then the parameters were applied to WRF-UCM model after it was processed into 2-dimensional topographical data. The 6 experiments were simulated by using the model with each parameter and verified against observation from Automated Weather Station (AWS) and flux tower for the temperature and sensible heat flux. The data for sensible heat flux of flux towers on Jungnang and Bucheon, the temperature of AWS on Jungnang, Gangnam, Bucheon and Neonggok were used as verification data. In the case of summer, the improvement of simulation by using detailed anthropogenic heat was higher than the other experiments in sensible flux simulation. The results of winter case show improved in all simulations using each advanced parameters in temperature and sensible heat flux simulation. Improvement of urban parameters in this study are possible to reflect the heat characteristics of urban area. Especially, detailed application of anthropogenic heat contributed to the enhancement of predicted value for sensible heat flux and temperature.
Keywords
Urban Canopy Model; urban parameter; anthropogenic heat; roughness length; high resolution;
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Times Cited By KSCI : 9  (Citation Analysis)
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