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Sensitivity Analysis of Ozone Simulation according to the Impact of Meteorological Nudging

기상자료동화에 따른 CMAQ 모델의 오존농도 모의 민감도 연구

  • Kim, Taehee (Division of Earth Environmental System, Pusan National University) ;
  • Kim, Yoo-Keun (Department of Atmospheric Sciences, Pusan National University) ;
  • Shon, Zang-Ho (Department of Environmental Engineering, Dong-Eui University) ;
  • Jeong, Ju-Hee (Department of Atmospheric Sciences, Pusan National University)
  • 김태희 (부산대학교 지구환경시스템학부) ;
  • 김유근 (부산대학교 대기환경과학과) ;
  • 손장호 (동의대학교 환경공학과) ;
  • 정주희 (부산대학교 대기환경과학과)
  • Received : 2016.05.19
  • Accepted : 2016.07.19
  • Published : 2016.08.31

Abstract

This study aimed at analyzing the sensitivity of ozone simulation in accordance with the meteorological nudging for a high nocturnal ozone episode. To demonstrate the effectiveness of nudging methods (e.g., nudging techniques and application domains), the following six experiments were designed: (1) control without nudging, (2) experiment with application of observation nudging to all domains (domain 1~4), and (3)~(6) experiments with application of grid nudging to domain 1, domain 1~2, domain 1~3 and all domains, respectively. As a result, the meteorological nudging had a direct (improvement of input data) and indirect (estimate natural emission) effect on ozone simulation. Nudging effects during the daytime were greater than those during the nighttime due to low accuracy of wind direction during the nighttime. On comparison of the nudging techniques, the experiments in which grid nudging was applied showed more improved results than the experiments in which observation nudging was applied. At this time point, the simulated concentrations were generally similar to the observed concentrations due to the increase in the nudging effect when grid nudging was applied up to the sub-domain. However, for high nocturnal ozone uptakes, the experiment in which grid nudging was applied do domain 1~3 showed better results than the other experiments. This is because, when grid nudging was applied to the high resolution domain (e.g., domain 4 with 1 km), the local characteristics were removed due to the smoothing effects of meteorological conditions.

Keywords

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