중규모 모델 WRF로부터 모의된 한반도 풍력-기상자원 특성 Characteristics of a Wind Map over the Korean Peninsula Based on Mesoscale Model WRF
Characteristics of a Wind Map over the Korean Peninsula Based on Mesoscale Model WRF
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참고문헌
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초록
This study uses mesoscale model WRF to investigate characteristics of wind fields in South Korea, a region with a complex terrain. Hourly wind fields were simulated for one year representing mean characteristics of an 11-year period from year 1998 to year 2008. The simulations were performed on a nested grid from 27 km down to 1 km horizontal resolution. Seasonal variation of wind speed indicates that wind is strongest during the spring and winter seasons. Spatial distribution of mean wind speed shows wind energy potential at its peak in mountainous region of Gangwon-do, the east coast, and Jeju Island. Wind speed peaks at night in mountainous and eastern coastal regions, and in the afternoon inland and in the southwestern coastal region. The simulated wind map was verified with four upper-air sounding observations. Wind speed was shown to have a more pronounced overestimation tendency relative to observation in the winter rather than summer. The results of this wind mapping study help identify locations with the highest wind energy potential in South Korea.
Abstract
This study uses mesoscale model WRF to investigate characteristics of wind fields in South Korea, a region with a complex terrain. Hourly wind fields were simulated for one year representing mean characteristics of an 11-year period from year 1998 to year 2008. The simulations were performed on a nested grid from 27 km down to 1 km horizontal resolution. Seasonal variation of wind speed indicates that wind is strongest during the spring and winter seasons. Spatial distribution of mean wind speed shows wind energy potential at its peak in mountainous region of Gangwon-do, the east coast, and Jeju Island. Wind speed peaks at night in mountainous and eastern coastal regions, and in the afternoon inland and in the southwestern coastal region. The simulated wind map was verified with four upper-air sounding observations. Wind speed was shown to have a more pronounced overestimation tendency relative to observation in the winter rather than summer. The results of this wind mapping study help identify locations with the highest wind energy potential in South Korea.
참고문헌 (17)
- 풍력기상자원지도 개발 연구보고서, "기상청", 기상청 자료관리서비스팀, 99~, pp.기술노트 2007-9 (2007)
- 김성은, "도시 재생을 위한 신재생에너지 적용에 관한 기초연구", 한국태양에너지 추계학술발표대회, pp.120~125 (2008)
- 김현구, "수치바람모의에 의한 저해상도 국가 바람지도의 구축", 한국태양에너지학회 논문집, 26(4), pp.31~38 (2006), 한국태양에너지학회
- 김혜중, "한반도 바람자원의 TMY (Typical Meteorological Year) 구축에 관한 연구", 한국기후변화학회 2009년 학술발표회, pp.136~138 (2009)
- 변재영, "중규모 수치 모델을 이용한 대청 호수 주변의 국지 순환 모의", 한국지구과학회지, 30(4), pp.464~477 (2009), 한국지구과학회
- Byrkjedal, O., "The use of WRF for wind resource mapping in Norway", Preprints, 9th WRF user’s workshop, pp.9~18 (2009), NCAR
- Chen, F., "Coupling an advanced landsurface", hydrology model with the Penn State, Mon. Wea. Rev., pp.2001, 129[DOI]
- Chou, M.-D., "An efficient thermal infrared radiation parameterization for use in general circulation models", NASA Tech. Memo., 3, pp.85~ (1994)
- Hong, S.-Y., "Nonlocal boundary layer vertical diffusion in a medium-range forecast model", Mon. Wea. Rev., 124, pp.2322~2339 (1996)
- Climate change: The physical science basis-Summary for policymakers, "IPCC", IPCC, 18~ (2007)
- Lim, K.-S., "Development of an effective double-moment cloud microphysics scheme with prognostic cloud condensation nuclei (CCN) for weather and climate models", Mon. Wea. Rev. (2009)
- Kain, J. S., "The Kain-Fritsch convective parameterization: An update", J. Appl. Meteor., 43, pp.170~181 (2004)
- Mlawer, E. J., "Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-K model for the longwave", J. Geophys. Res., 102(D14), pp.16663~16682 (1997)
- "2009 RAL Annual Report" (2009)[URL]
- A description of the advanced research WRF version 3, "Skamarock, W.C.", National Center for Atmospheric Research, 125~, pp.NCAR (2008), TN-475+STR
- ARW version 3 modeling system user’s guide, "Wang, W.", National Center for Atmospheric Research, 264~ (2009)
- Yim, S. H. L., "Developing a high-resolution wind map for a complex terrain with a coupled MM5", CALMET system, 2007, pp.112(D5), 5106~5121
