WRF 모델을 이용한 지표층 바람장의 대기경계층 모수화와 지면모델 민감도 평가
Sensitivity Evaluation of Wind Fields in Surface Layer by WRF-PBL and LSM Parameterizations
0
조회
0
다운로드
11
인용
0
참고문헌
키워드
초록
Sensitivity experiments of WRF model using different planetary boundary layer (PBL) and land surface model (LSM) parameterizations are evaluated for prediction of wind fields within the surface layer. The experiments were performed with three PBL schemes (YSU,Pleim, MYJ) in combination with three land surface models (Noah, RUC, Pleim). The WRF model was conducted on a nested grid from 27-km to 1-km horizontal resolution. The simulations validated wind speed and direction at 10 m and 80 m above ground level at a 1-km spatial resolution over the South Korea. Statistical verification results indicate that Pleim and YSU PBL schemes are in good agreement with observations at 10 m above ground level, while the MYJ scheme produced predictions similar to the observed wind speed at 80 m above ground level. LSM comparisons indicate that the RUC model performs best in predicting 10-m and 80-m wind speed. It is found that MYJ (PBL) – RUC (LSM) simulations yielded the best results for wind field in the surface layer. The choice of PBL and LSM parameterization will contribute to more accurate wind predictions for air quality studies and wind power using WRF.
Abstract
Sensitivity experiments of WRF model using different planetary boundary layer (PBL) and land surface model (LSM) parameterizations are evaluated for prediction of wind fields within the surface layer. The experiments were performed with three PBL schemes (YSU,Pleim, MYJ) in combination with three land surface models (Noah, RUC, Pleim). The WRF model was conducted on a nested grid from 27-km to 1-km horizontal resolution. The simulations validated wind speed and direction at 10 m and 80 m above ground level at a 1-km spatial resolution over the South Korea. Statistical verification results indicate that Pleim and YSU PBL schemes are in good agreement with observations at 10 m above ground level, while the MYJ scheme produced predictions similar to the observed wind speed at 80 m above ground level. LSM comparisons indicate that the RUC model performs best in predicting 10-m and 80-m wind speed. It is found that MYJ (PBL) – RUC (LSM) simulations yielded the best results for wind field in the surface layer. The choice of PBL and LSM parameterization will contribute to more accurate wind predictions for air quality studies and wind power using WRF.
참고문헌 (21)
- 강전호, "지면물리과정이 MM5 모델의 집중호우 모의에 미치는 영향", 2005년도 한국기상학회 봄철 학술대회 논문집 (2005), 한국기상학회
- 김철희, "유해화학물질 대기확산 예측을 위한 RAMS 기상모델의 적용 및 평가 - CARIS의 바람장 모델 검증", 한국대기환경학회지, 19(5), pp.595~610 (2003), 한국대기환경학회
- 변재영, "중규모 모델 WRF로부터 모의된 한반도 풍력-기상자원 특성 Characteristics of a Wind Map over the Korean Peninsula Based on Mesoscale Model WRF", 대기, 20(2), pp.195~210 (2010), 한국기상학회
- 이화운, "대기오염 확산 해석을 위한 포항지역 기상장 연구-바람장 수치모의-", 한국대기환경학회지, 20(1), pp.1~15 (2004), 한국대기환경학회
- 윤지원, "단시간 다중모델 앙상블 바람 예측", 대기, 17(4), pp.327~337 (2007), 한국기상학회
- Chen, F., "Coupling an Advanced Land Surface-Hydorlogy Model ith the Penn state – NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity", Mon. Wea. Rev., 129, pp.569~585 (2001)
- Chou, M.-D., "An efficient thermal infrared radiation parameterization for use in general circulation models", NASA Tech. Memo., 104606(3), pp.85~ (1994)
- "Global Wind 2008 Report" (2008)[URL]
- Song-You Hong, "The WRF Single-Moment 6-Class Microphysics Scheme (WSM6)", 한국기상학회지, 42(2), pp.129~151 (2006), 한국기상학회
- Hong, S.-Y., "A new vertical diffusion package with an explicit treatment of entrainment processes", Mon. Wea. Rev., 134, pp.2318~2341 (2006)
- Kain, J. S., "The Kain-fritsch Convective Parameterization: An Update", J. Appl. Meteor, 43, pp.170~181 (2004)
- Miao, J. F., "Evaluation of MM5 mesoscale model at local scale for air quality applications over the Swedish west coast: Influence of PBL and LSM parameterizations", Meteor. and Atmos. Phys., 99(DOI 10), pp.77~103 (2008)
- Mellor, G. L., "A Hierarchy of Turbulence Closure Models for Planetary Boundary Layers", J. Atmos. Sci., 31, pp.1791~1806 (1974)
- Mllawer, 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)
- Pleim, J. E., "A non-local closure model for vertical mixing in the convective boundary layer", Atmos. Environ., 26(6), pp.965~981 (1992)
- Seaman, N. L., "Meteorogical modeling for air-quality assessments", Atmos. Environ., 34, pp.2231~2259 (2000)
- A description of the advanced research WRF version 3, "Skamarock, W.C.", National Center for Atmospheric Research, 125~, pp.NCAR (2008), TN-475+STR
- Smirnova, T. G., "Parameterization of cold-season processes in the MAPS land-surface scheme", J. Geophysic. Res., 105(D3), pp.4077~4086 (2000)
- ARW version 3 modeling system user’s guide, "Wang, W.", National Center for Atmospheric Research, 264~ (2009)
- Xiu, A., "Development of a Land Surface Model. Part I: Application in a Mesoscale Meteorological Model", J. Appl. Meteor., 40, pp.192~209 (2001)
- Zhang, D. L., "Diurnal Cycles of Surface Winds and Temperatures as Simulated by Five Boundary Layer Parameterizations", J. Appl. Meteor., 43, pp.157~169 (2004)