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영동 대설 사례를 대상으로 한 WRF Simulation의 Nudging 방법에 따른 민감도 연구

A Sensitivity Study of WRF Model Simulations to Nudging Methods for A Yeongdong Heavy Snowfall Event

  • 최지원 (강릉원주대학교 대기환경과학과) ;
  • 이재규 (강릉원주대학교 대기환경과학과)
  • Choi, Ji Won (Department of Atmospheric and Environmental Sciences Gangneung-Wonju National University) ;
  • Lee, Jae Gyoo (Department of Atmospheric and Environmental Sciences Gangneung-Wonju National University)
  • 투고 : 2014.11.19
  • 심사 : 2014.12.19
  • 발행 : 2015.03.31

초록

To investigate the influences of the observational nudging and the analysis nudging on the WRF simulation for the heavy snowfall event in Yeongdong area on 26 February 2012, the sensitivity experiments in relation to nudging effects were conducted. We initially set the magnitude of nudging coefficient of $6.0{\times}10^{-4}s^{-1}$ to apply to the analysis nudging experiments and observational experiments. To select the optimized options for the observational nudging, the radius influence experiment was carried out with radii ranging from 10 to 25 km at 5 km intervals. Among the observational nudging experiments, the experiment, which was conducted with the option of the radius influence of 15 km and that of the nudging coefficient of $6.0{\times}10^{-4}s^{-1}$ (ONG exp.), showed a best result. As giving the nudging effect only directly on D1 and D2 brought about a better result for the analysis nudging, we set the analysis nudging experiment as above (ANG exp.). We compared and analyzed the results from the control experiment, ONG experiment, and ANG experiment to reveal nudging effects. It was found that the control experiment brought about a result that it overestimated its precipitation in comparison with the observation and failed to properly simulate the time zone of rainfall concentration. When either of the two nudging (observational and analysis nudging) was applied to the data assimilation, it brought about a better result than the control experiment. Especially the observational nudging led to a meaningful result for the wind field, while the analysis nudging had the best result for the precipitation distribution among the experiments.

키워드

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피인용 문헌

  1. A Numerical Simulation Study of a Heavy Rainfall Event over Daegwallyeong on 31 July 2014 vol.26, pp.1, 2016, https://doi.org/10.14191/Atmos.2016.26.1.159
  2. Sensitivity Analysis of the WRF Model according to the Impact of Nudging for Improvement of Ozone Prediction vol.25, pp.5, 2016, https://doi.org/10.5322/JESI.2016.25.5.683
  3. High-Resolution Simulation of Snowfall over the Korean Eastern Coastal Region Using WRF Model: Sensitivity to Domain Nesting-Down Strategy pp.1976-7951, 2019, https://doi.org/10.1007/s13143-019-00108-x