DOI QR코드

DOI QR Code

Applicability of Daily Solar Radiation Estimated by Mountain Microclimate Simulation Model (MT-CLIM) in Korea

MT-CLIM 프로그램을 이용한 일별 일사량 추정의 국내 적용성 검토

  • Shim, Kyo Moon (Climate Change & Agroecology Division, National Academy of Agricultural Science) ;
  • Kim, Yong Seok (Climate Change & Agroecology Division, National Academy of Agricultural Science) ;
  • Lee, Deog Bae (Climate Change & Agroecology Division, National Academy of Agricultural Science) ;
  • Kang, Ki Keong (Climate Change & Agroecology Division, National Academy of Agricultural Science) ;
  • So, Kyo-Ho (Climate Change & Agroecology Division, National Academy of Agricultural Science)
  • 심교문 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 김용석 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 이덕배 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 강기경 (국립농업과학원 농업환경부 기후변화생태과) ;
  • 소규호 (국립농업과학원 농업환경부 기후변화생태과)
  • Received : 2012.10.25
  • Accepted : 2012.11.08
  • Published : 2012.12.30

Abstract

Accuracy of daily solar radiation estimated from a Mountain Microclimate Simulation Model (MT-CLIM) was assessed for seven observation sites with complex topography in Uiseong County. The coefficient of determination ($R^2$) between the observed and the estimated daily solar radiation was 0.52 for 7 sites for the study period from 1 August to 30 September 2009. Overall, the MT-CLIM overestimated the solar radiation with root mean square error (RMSE) of $3.83MJ\;m^{-2}$ which is about 25% of the mean daily solar radiation ($15.27MJ\;m^{-2}$) for the study period. Considering that the pyranometer's tolerance is ${\pm}5%$ of standard sensor, the RMSE of MT-CLIM was too large to accept for a direct application for agricultural sector. The reliability of solar radiation estimated by MT-CLIM must be improved by considering additional ways such as using a topography correction coefficient.

MT-CLIM 컴퓨터 프로그램을 이용한 일사량 추정의 국내 적용성 검토를 위하여 경북 의성군 일대에 7개 관측지점을 설정하고 실측 일사량과 프로그램에 의한 추정 일사량을 비교 검증하였다. 추정 일사량을 실측 일사량과 비교한 결과, 둘 사이에 결정계수 0.52의 선형관계가 확인되었고, 전체적으로는 과대 추정되는 것으로 조사되었다. MT-CLIM 프로그램에 의한 일사추정값의 RMSE는 평균 $3.83MJ\;m^{-2}$ 이어서, 일 평균 일사량 $15.27MJ\;m^{-2}$의 25% 정도에 해당되었고, 본 연구에서 사용한 일사센서의 허용오차가 표준센서의 ${\pm}5%$인 점을 감안하면 25%의 RMSE는 실용성이 떨어진다고 판단할 수 있다. 따라서 MT-CLIM 프로그램을 국내 농업분야에 적용하기 위해서는 지형보정계수 등 신뢰도를 개선시킬 추가적인 방법들이 모색되어야 할 것으로 판단된다.

Keywords

References

  1. Hungerford, R. D., R. R. Nemani, S. W. Running, and J. C. Coughlan, 1989: MTCLIM: A mountain microclimate extrapolation model. USDA Forest Service. Research Paper INT-414, 52pp.
  2. Korea Meteorological Administration, 2012a: 2011 Annual Climatological Report. Government Publication Number 11-1360000-000016-10, 314pp.
  3. Korea Meteorological Administration, 2012b: 2011 Annual Report of Automatic Weather System Data. Government Publication Number 11-1360000-000014-10, 968pp.
  4. Running, S. W. and R. D. Hungerford, 1983: Spatial extrapolation of meteorological data for ecosystem modeling applications. Proceeding of 16th Conference on Agricultural and Forest Meteorology, Boston, MA, American Meteorological Society, 192-195.
  5. Running, S. W., R. Nemani, and R. D. Hungerford, 1987: Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis. Canadian Journal of Forest Research 17, 472-483. https://doi.org/10.1139/x87-081
  6. Uiseong County, 2012: 2011 Statistical year book, 551pp.
  7. William, M. J., 2003: MT-CLIM for Excel, University of Montana, 9pp.
  8. Yun, J. I., 2009: A simple method using a topography correction coefficient for estimating daily distribution of solar irradiance in complex terrain, Korean Journal of Agricultural and Forest Meteorology 11(1), 13-18. https://doi.org/10.5532/KJAFM.2009.11.1.013
  9. 윤진일, 1999: 농업기상학. 도서출판 아르케, ISBN 89-88791-22-3 94520, 337pp.