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A Statistical Tuning Method to Improve the Accuracy of 1Km×1Km Resolution-Wind Data of South Korea Generated from a Numerical Meteorological Model
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 Title & Authors
A Statistical Tuning Method to Improve the Accuracy of 1Km×1Km Resolution-Wind Data of South Korea Generated from a Numerical Meteorological Model
Kim, Hea-Jung; Kim, Hyun-Sik; Choi, Young-Jean; Lee, Seong-Woo; Seo, Beom-Keun;
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 Abstract
This paper suggests a method for tuning a numerically simulated wind speed data, provided by NIMR(National Institute of Meteorological Research) and generated from a numerical meteorological model to improve a wind resource map with a resolution. To this end, "tuning factor method" is developed that consists of two procedures. First, estimate monthly wind fields based on a suitably designed statistical wind field model that covers 345,682 regions obtained by lattice sites in South Korea. The second procedure computes the tuning factor and then tunes the generated wind speeds of each month as well as each lattice site. The second procedure is based on the wind fields estimated by the first procedure. The performance of the suggested tuning method is demonstrated by using two wind data(both TMY and numerically simulated wind speed data) of 75 weather station areas.
 Keywords
Tuning factor method;numerically simulated wind speed data;statistical wind field model;TMY wind data;Meteorological resource map;tuning of wind speed;
 Language
Korean
 Cited by
1.
칼만필터기법에 의한 풍력예측시스템의 정확도 향상에 관한 연구,김혜중;정선;최영진;이승우;서범근;

Journal of the Korean Data Analysis Society, 2011. vol.13. 5, pp.2323-2333
 References
1.
권진욱, 강부식 (2008). 시공간적 random cascade 모형을 이용한 한반도지역 기후모의 상세화기법, 한국수자원학회 학술발표회 논문집, 120-124.

2.
기상청 국립기상연구소 (2009). 한반도 풍력자원지도.

3.
기상청 국립기상연구소 (2010). 기상자원지도 및 국지기상분석개발.

4.
김혜중, 곽화륜, 최영진, 변재영 (2010a). 로그정규풍속모형에 의한 풍력자원의 특성추론 및 응용에 관한 연구, Jourrnal of the Korean Data Analysis Society, 9, 2761-2772.

5.
김혜중, 김현식, 최영진, 변재영 (2010b). 통계적 바람장모형에 고해상도($1km {\times}1km$)풍력에너지지도 작성에 관한 연구, 응용통계연구, 23, 1137{1167. crossref(new window)

6.
김혜중, 정선, 최영진, 김규랑, 정영림 (2009). 한반도 바람자원의 TMY(typical meteorological year) 구축 알고리즘에 관한 연구, 응용통계연구, 22, 943-960. crossref(new window)

7.
대기환경연구회 (2003). 대기환경개론, 신광문화사, 179-181.

8.
서은경, 윤준희, 박영산 (2009). 북한 지역에서의 30년 동안의 평균바람지도, Journal of the Korean Earth Science Society, 30, 845-854. crossref(new window)

9.
Benth, J. S. and Saltyte, A. (2011). Spatial-temporal model for wind speed in Lithuania, Journal of Applied Statistics, 38, 1151-1168. crossref(new window)

10.
Leung, L. R., Hamlet, A. F., Lettenmaier, D. P. and Kumar, A. (1999). Simulations of the ENSO hydroclimate signals in the Pacific Northwest Colombia River Basin, Bulletin of American Meteorological Society, 80, 2313-2328. crossref(new window)

11.
Wood, A. W., Maurer, E. P., Kumar, A. and Lettenmaier, D. P. (2002). Long-range experimental hydrologic forecasting for the eastern United States, Journal of Geophysical Research Atmosphere, 107, 4429. crossref(new window)