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Korean Meteorological Society (한국기상학회)
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The Impact of Data Assimilation on WRF Simulation using Surface Data and Radar Data: Case Study

지상관측자료와 레이더 자료를 이용한 자료동화가 수치모의에 미치는 영향: 사례 연구

  • Choi, Won (High Impact Weather Research Center, National Institute of Meteorological Research, Korea Meteorological Administration) ;
  • Lee, Jae Gyoo (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University) ;
  • Kim, Yu-Jin (Department of Atmospheric and Environmental Sciences, Gangneung-Wonju National University)
  • 최원 (국립기상연구소 재해기상연구센터) ;
  • 이재규 (강릉원주대학교 대기환경과학과) ;
  • 김유진 (강릉원주대학교 대기환경과학과)
  • Received : 2012.12.21
  • Accepted : 2013.04.08
  • Published : 2013.06.30
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Abstract

The effect of 3DVAR (Three Dimension Variational data Assimilation) was examined by comparing observation and the simulations of CNTL (to which data assimilation was not applied) and ALL (to which data assimilation was applied using ground observation data and radar data) for the case of a heavy snowfall event (case A) of 11-12 February 2011 in the Yeongdong region. In case A, heavy snow intensively came in the Yeongdong coastal region rather than Daegwallyeong, in particular, around the Gangneung and Donghae regions with total precipitation in Bukgangneung at approximately 91 mm according to the AWS observation. It can be seen that compared to CNTL, ALL simulated larger precipitation along the Yeongdong coastline extending from Sokcho to Donghae while simulating smaller precipitation for inland areas including Daegwallyeong. On comparison of the total accumulated precipitations from simulations of CNTL and ALL, and the observed total accumulated precipitation, the positive effect of the assimilation of ground observation data and radar data could be identified in Bukgangneung and Donghae, on the other hand, the negative effect of the assimilation could be identified in the Daegwallyeong and Sokcho regions. In order to examine the average accuracy of precipitation prediction by CNTL and ALL for the entire Gangwon region including the major points mentioned earlier, the three hour accumulated precipitation from simulations of CNTL and ALL were divided into 5, 10, 15, 20, 25 and 30 mm/3hr and threat Scores were calculated by forecasting time. ALL showed relatively higher TSs than CNTL for all threshold values although there were some differences. That is, when considered generally based on the Gangwon region, the accuracy of precipitation prediction from ALL was improved somewhat compared to that from CNTL.

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