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Korean Meteorological Society (한국기상학회)
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Sensitivity Test of the Numerical Simulation with High Resolution Topography and Landuse over Seoul Metropolitan and Surrounding Areas

수도권 지역에서의 고해상도 지형과 지면피복자료에 따른 수치모의 민감도 실험

  • Park, Sung-Hwa (Weather Information Service Engine, Hankuk University of Foreign Studies) ;
  • Jee, Joon-Bum (Weather Information Service Engine, Hankuk University of Foreign Studies) ;
  • Yi, Chaeyeon (Weather Information Service Engine, Hankuk University of Foreign Studies)
  • 박성화 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 지준범 (한국외국어대학교 차세대도시농림융합기상사업단) ;
  • 이채연 (한국외국어대학교 차세대도시농림융합기상사업단)
  • Received : 2015.03.04
  • Accepted : 2015.04.22
  • Published : 2015.06.30
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Abstract

The objective of this study is to evaluate the impact of the high resolution topographies and landuses data on simulated meteorological variables (wind speed at 10 m, temperature at 2 m and relative humidity at 2 m) in WRF. We compare the results with WRF simulation using each resolution of the topographies and landuses, and with 37 AWS observation data on the Seoul metropolitan regions. According to results of using high-resolution topography, WRF model gives better topographical expression over domain. And we can separate more detail (Low intensity residential, high intensity residential, industrial or commercial) using high resolution landuses data. The result shows that simulated temperature and wind speed are generally higher than AWS observation data. However, simulation trend with temperature, wind speed, and relative humidity are similar to observation data. The reason for that is that the high precipitation event occurred in CASE 1 and 2. Temperature have correlation of 0.43~0.47 and standard deviation of $2.12{\sim}2.28^{\circ}C$ in CASE 1, while correlation of more than 0.8 and standard deviation of $3.05{\sim}3.18m\;s^{-1}$ in CASE 2. In case of wind speed, correlation have lower than 0.5 and Standard Deviation of $1.88{\sim}2.34m\;s^{-1}$ in CASE 1 and 2. In statistical analysis shows that using highest resolution (U01) results are more close to the AWS observation data. It can be concluded that the topographies and landuses are important factor that affect model simulation. However, the tendency to always use high resolution topographies and landuses data appears to be unjustified, and optimal solution depends on the combination of scale effect and mechanisms of dynamic models.

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References

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