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http://dx.doi.org/10.5322/JES.2012.21.4.517

A Case Study of WRF Simulation for Surface Maximum Wind Speed Estimation When the Typhoon Attack : Typhoons RUSA and MAEMI  

Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University)
Park, Jong-Kil (School of Environmental Sciences Engineering, Atmospheric Environment Information Research Center, Inje University)
Kim, Eun-Byul (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University)
Lee, Bo-Ram (Department of Atmospheric Environment Information Engineering, Atmospheric Environment Information Research Center, Inje University)
Publication Information
Journal of Environmental Science International / v.21, no.4, 2012 , pp. 517-533 More about this Journal
Abstract
This study calculated wind speed at the height of 10 m using a disaster prediction model(Florida Public Hurricane Loss Model, FPHLM) that was developed and used in the United States. Using its distributions, a usable information of surface wind was produced for the purpose of disaster prevention when the typhoon attack. The advanced research version of the WRF (Weather Research and Forecasting) was used in this study, and two domains focusing on South Korea were determined through two-way nesting. A horizontal time series and vertical profile analysis were carried out to examine whether the model provided a resonable simulation, and the meteorological factors, including potential temperature, generally showed the similar distribution with observational data. We determined through comparison of observations that data taken at 700 hPa and used as input data to calculate wind speed at the height of 10 m for the actual terrain was suitable for the simulation. Using these results, the wind speed at the height of 10 m for the actual terrain was calculated and its distributions were shown. Thus, a stronger wind occurred in coastal areas compared to inland areas showing that coastal areas are more vulnerable to strong winds.
Keywords
RUSA; MAEMI; Maximum wind speed estimation; WRF;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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