지상관측자료와 레이더 자료를 이용한 자료동화가 수치모의에 미치는 영향: 사례 연구
The Impact of Data Assimilation on WRF Simulation using Surface Data and Radar Data: Case Study
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초록
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.
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.
참고문헌 (20)
- 임윤진, "WRF를 이용한 태풍 나리 예측에서 자료동화가 미치는 영향", 한국기상학회 봄 학술대회, pp.76~77 (2010)
- 임은하, "지역용 3차원 변분 자료 동화에서 레이더 시선속도자료의 동화 효과", 대기, 13(1), pp.94~97 (2003)
- 최정희, "AWS 자료를 포함한지상자료동화가 단시간 예측에 미치는 영향", 대기, 12(1), pp.377~380 (2002)
- Cho, K. -H, "The Statistical Forecasting of Topographic Precipitation at Wintertime for the Yeongdong Region : Aconceptual Model Approach", Kangnung National Universuty, pp.143~ (2008)
- Dudhia, J., "Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model", J. Atmos. Sci, 46, pp.3077~3107 (1989)
- Ha, J. H., "Observation and Numerical Simulations with Radar and Surface Data Assimilation for Heavy Rainfall over Central Korea", Adv. Atmos. Sci., 28(3), pp.573~590 (2011)
- Hong, S.-Y, "A new vertical diffusion package with an explicit treatment of entrainment processes", Mon. Wea. Rev, 134(9), pp.2318~2341 (2006)
- Jhun, J-G, "A Study on the Heavy Snowfalls Occurred in South Korea", Asia- Pacific J. Atoms. Sci, 30(1), pp.97~117 (1994)
- Kain, J. M, "Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The representation of cumulus convection in numerical models", Amer. Meteor. Soc, 24, pp.165~170 (1993)
- The evaluation of WRF numerical simulations of heavy snowfall events using WRF 3DVAR, "Kim, S.-D", Gangneung-Wonju National University, 58~ (2010)
- Lee, J.-G, "Synoptic Structure Causing the Difference in Observed Snowfall Amount at Taegwallyong and Kangnung: Case Study", J. Korean Meteor. Soc, 35(3), pp.319~334 (1999)
- Lee, J. -G, "A numerical simulation of a heavy snowfall event occurred along the Youngdong coastal area", J. Korean Meteor. Soc, 37(1), pp.293~308 (2001)
- Lee, J.-G, "A Trajectory Study on the Heavy Snowfall Phenomenon in Yeongdong Region of Korea", Asia-Pacific J. Atoms. Sci, 47(1), pp.45~62 (2011)
- Lim, K.-S. S, "Development of and effective Double-Moment cloud microphysics scheme with prognostic Cloud Condensation Nuclei(CCN) for weather and climate models", Mon. Wea. Rev, 138(5), pp.1587~1612 (2010)
- Mlawer, E. J., "Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave", J. Geophys. Res., 102(D14), pp.16663~16682 (1997)
- 2011 disaster Yearbook. National Emergency Management Agency, "National Emergency Management Agency", 995~ (2012)
- Parrish, D. F, "The national meteorological center's spectral statistical-interpolation analysis system", Mon. Wea. Rev, 120(8), pp.1747~1763 (1992)
- A Description of the Advanced Research WRF Version 3, "Skamarock, W. C", NCAR Tech Note, 113~, pp.NCAR (2008), TN?475+STR
- Wilks, D. S, "Statistical Methods in the Atmospheric Sciences", pp.467~ (1995), Academic Press
- "ARPS Version 4.0 User's Guide"[URL]