분석자료의 분해능과 3DVAR 적용에 따른 WRF모의 민감도: 사례 연구
Sensitivities of WRF Simulations to the Resolution of Analysis Data and to Application of 3DVAR: A Case Study
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This study aims at examining the sensitivity of numerical simulations to the resolution of initial and boundary data, and to an application of WRF (Weather Research and Forecasting) 3DVAR (Three Dimension Variational data Assimilation). To do this, we ran the WRF model by using GDAS (Global Data Assimilation System) FNL (Final analyses) and the KLAPS (Korea Local Analysis and Prediction System) analyses as the WRF's initial and boundary data, and by using an initial field made by assimilating the radar data to the KLAPS analyses. For the sensitivity experiment, we selected a heavy rainfall case of 21 September 2010,where there was localized torrential rain, which was recorded as 259.5 mm precipitation in a day at Seoul. The result of the simulation using the FNL as initial and boundary data (FNL exp)showed that the localized heavy rainfall area was not accurately simulated and that the simulated amount of precipitation was about 4% of the observed accumulated precipitation. That of the simulation using KLAPS analyses as initial and boundary data (KLAPC exp) showed that the localized heavy rainfall area was simulated on the northern area of Seoul-Gyeonggi area, which renders rather difference in location, and that the simulated amount was underestimated as about 6.4% of the precipitation. Finally, that of the simulation using an initial field made by assimilating the radar data to the KLAPS using 3DVAR system (KLAP3D exp) showed that the localized heavy rainfall area was located properly on Seoul-Gyeonggi area, but still the amount itself was underestimated as about 29% of the precipitation. Even though KLAP3D exp still showed an underestimation in the precipitation, it showed the best result among them. Even if it is difficult to generalize the effect of data assimilation by one case, this study showed that the radar data assimilation can somewhat improve the accuracy of the simulated precipitation.
Abstract
This study aims at examining the sensitivity of numerical simulations to the resolution of initial and boundary data, and to an application of WRF (Weather Research and Forecasting) 3DVAR (Three Dimension Variational data Assimilation). To do this, we ran the WRF model by using GDAS (Global Data Assimilation System) FNL (Final analyses) and the KLAPS (Korea Local Analysis and Prediction System) analyses as the WRF's initial and boundary data, and by using an initial field made by assimilating the radar data to the KLAPS analyses. For the sensitivity experiment, we selected a heavy rainfall case of 21 September 2010,where there was localized torrential rain, which was recorded as 259.5 mm precipitation in a day at Seoul. The result of the simulation using the FNL as initial and boundary data (FNL exp)showed that the localized heavy rainfall area was not accurately simulated and that the simulated amount of precipitation was about 4% of the observed accumulated precipitation. That of the simulation using KLAPS analyses as initial and boundary data (KLAPC exp) showed that the localized heavy rainfall area was simulated on the northern area of Seoul-Gyeonggi area, which renders rather difference in location, and that the simulated amount was underestimated as about 6.4% of the precipitation. Finally, that of the simulation using an initial field made by assimilating the radar data to the KLAPS using 3DVAR system (KLAP3D exp) showed that the localized heavy rainfall area was located properly on Seoul-Gyeonggi area, but still the amount itself was underestimated as about 29% of the precipitation. Even though KLAP3D exp still showed an underestimation in the precipitation, it showed the best result among them. Even if it is difficult to generalize the effect of data assimilation by one case, this study showed that the radar data assimilation can somewhat improve the accuracy of the simulated precipitation.
참고문헌 (21)
- 신우주, "구름무리의 형성과 진화에 관한 수치적 연구", 한국기상학회 가을 학술대회 논문집, pp.44~45 (2009)
- 위태권, "중규모 대류계의 구름분해 모의에 기초한 적운 매개 변수화", 박사, 대기과학과, pp.1999
- 이윤영, "9월 21일 서울, 인천, 경기 집중호우 피해현황과 원인", 한국수자원학회 논문집, 43(10), pp.106~113 (2010)
- 이지우, "WRF 모형을 이용한 한반도 집중호우에 대한 지형 효과의 수치 모의 연구", 대기, 16(4), pp.319~332 (2006)
- 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)
- 황윤정, "KLAPS와 3DVAR를 이용한 ProbeX-2009 남·서해상 고층관측자료의 관측 시스템 실험 연구", 대기, 21(2), pp.1~16 (2011), 한국기상학회
- Bluestein, H. B, "Formation of mesoscale lines of precipitation: Severe squall lines in Oklahoma during the spring", J. Atmos. Sci, 42(16), pp.1711~1732 (1985)
- 최현영, "Analysis and Simulation of Mesoscale Convective Systems Accompanying Heavy Rainfall: The Goyang Case", 한국기상학회지, 47(3), pp.265~279 (2011), 한국기상학회
- Dudhia, J., "Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimension model", J. Atmos. Sci, 46(1)통권 : 1, 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", MONTHLY WEATHER REVIEW, 134, pp.2318~2341 (2006)
- Lee, M. S, "An application of a weakly constrained 4DVAR to satellite data assimilation and heavy rainfall simulation", Mon. Wea. rev., 131(9), pp.2151~2176 (2003)
- Tae-Young Lee, "Heavy Precipitation Systems over the Korean Peninsula and their Classification", 한국기상학회지, 43(4), pp.367~396 (2007), 한국기상학회
- Liu, Y., "an implementation of obs-nudging-based FDDAinto WRF for supporting ATEC test operations", 2005WRF user workshop (2005)
- Lim, K.-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)
- Moteki, Q., "Structure and Development of Two merged Rainbands Observed over the East China Sea during X-BAIU-99 Part I: Meso-β-Scale Structure and Development Processes", J. meteor. Soc. Japan, 82(1), pp.19~44 (2004)
- Parrish, D. F., "The national meteorological center’s spectral statistical-interpolation analysis system", Mon. Wea. Rev, 120(8), pp.1747~1763 (1992)
- Wilks, D. S., "Statistical Methods in the Atmospheric Sciences", pp.467~ (1995), Academic Press
- Yu, W, "An evaluation of 3dvar, nudging-based fdda and a hybrid scheme for summer convection forecast using WRF-ARW model", 2007 WRF user workshop (2007)