DOI QR코드

DOI QR Code

맑은 날 한낮의 사면 기온분포와 일사 수광량 간 관계

Distribution of Midday Air Temperature and the Solar Irradiance Over Sloping Surfaces under Cloudless Condition

  • 김수옥 ((재)국가농림기상센터) ;
  • 윤진일 (경희대학교 식물환경신소재공학과)
  • Kim, Soo-Ock (National Center for Agro-Meteorology, Seoul National University) ;
  • Yun, Jin I. (College of Life Sciences, Kyung Hee University)
  • 투고 : 2013.10.03
  • 심사 : 2013.12.19
  • 발행 : 2013.12.30

초록

소규모 집수역에서 한낮 기온의 분포와 일사수광량 간 관계를 관찰하기 위해 고도 50m급 3곳, 100m급 3곳, 300m급 3곳 등 9지점의 사면에 경사향을 달리하여 무인기상관측기를 설치하고 1년간 매일 1500 기온과 직전 4시간(1100-1500) 일사량자료를 수집하였다. 운량이 0인 맑은 날에 한정하여 각 지점의 사면 일사수광량을 계산하고 1500 기온과 비교하였다. 이때 각 지점의 경사도(slope)와 경사향(aspect)은 $30{\times}30$ m 격자를 기준으로 반경이 5, 10, 15, 20, 25, 30개 격자로 평활화 하여 사용하였다. 1500 기온에 미치는 직전 4시간 일사수광량 간에는 통계적으로 유의한 회귀관계가 인정되었으며, 반경 25개 격자(750m)로 평활화한 경우 사면 기온변이의 54%를 설명할 수 있었다(y = 0.8309x + 0.0438, $r^2$ = 0.5444).

Automated weather stations were installed at 9 locations with, three different elevations, (i.e., 50m, 100m, and 300m a.s.l.) with different slope and aspect in a small watershed ($50km^2$ area). Air temperature at 1500 LST and solar radiation accumulated for 1100-1500 LST were collected from January to December 2012. Topography of the study area was defined by a $30{\times}30$ m digital elevation model (DEM) grid. Accumulated solar irradiance was calculated for each location with the spatially averaged slope and aspect of surrounding circles with 5, 10, 15, 20, 25, and 30 grid cell radii, respectively. The 1500 LST air temperature from clear sky conditions with zero cloud amount was regressed to the 1100-1500 LST solar irradiance at 9 locations. We found the highest coefficient of determination ($r^2$ = 0.544) at 25 grid cell radius and the temperature variation in this study was explained by Y = 0.8309X + 0.0438, where Y is 1500 LST temperature (in $^{\circ}C$) and X is 1100-1500 LST accumulated solar irradiance (in $MJ/m^2$).

키워드

참고문헌

  1. Cesaraccio, C., D. Spano, R. L. Snyder, and P. Duce, 2004: Chilling and forcing model to predict bud-burst of crop and forest species. Agricultural and Forest Meteorology 126, 1-13. https://doi.org/10.1016/j.agrformet.2004.03.002
  2. Choi, J. Y., U. Chung, and J. I. Yun, 2003: Urban-effect correction to improve accuracy of spatially interpolated temperature estimates in Korea. Journal of Applied Meteorology 42(12), 1711-1719. https://doi.org/10.1175/1520-0450(2003)042<1711:UCTIAO>2.0.CO;2
  3. Chung, U., and J. I. Yun, 2004: Solar irradiance - corrected spatial interpolation of hourly air temperature in complex terrain. Agricultural and Forest Meteorology 126, 121-131.
  4. Chung, U., H. H. Seo, K. H. Hwang, B. S. Hwang, J. Choi, J. T. Lee, and J. I. Yun, 2006: Minimum temperature mapping over complex terrain by estimating cold air accumulation potential. Agricultural and Forest Meteorology 137, 15-24. https://doi.org/10.1016/j.agrformet.2005.12.011
  5. Chung, U., H. C. Seo, J. I. Yun, S. J. Jeon, K. H. Moon, H. H. Seo, and Y. S. Kwon, 2009: Extrapolation of daily maximum temperature in a mountainous terrain. Asia-Pacific Journal of Atmospheric Sciences 45, 473-482.
  6. Jung, J. E., E. Y. Kwon, U. Chung, and J. I. Yun, 2005: Predicting cherry flowering date using a plant phenology model. Korean Journal of Agricultural and Forest Meteorology 7, 148-155. (In Korean with English abstract)
  7. Kondratyev, K. Y., and M. P. Federova, 1977: Radiation regime of inclined slopes. WMO Technical Note No. 152pp.
  8. Regniere, J., 1996: A generalized approach to landscapewide seasonal forecasting with temperature-driven simulation models. Environmental Entomology 25, 869-881. https://doi.org/10.1093/ee/25.5.869
  9. Seo, H. C., S. J. Jeon, and J. I. Yun, 2008: Azimuthal distribution of daily maximum temperature observed at sideslopes of a grass-covered inactive parasitic volcano ("Ohreum") in Jeju Island. Korean Journal of Agricultural and Forest Meteorology 10(1), 25-31. (In Korean with English abstract) https://doi.org/10.5532/KJAFM.2008.10.1.025
  10. Kim, J. H., and J. I. Yun, 2008: On mapping growing degree-days (GDD) from monthly climatic surfaces for South Korea. Korean Journal of Agricultural and Forest Meteorology 10, 1-8. (In Korean with English abstract) https://doi.org/10.5532/KJAFM.2008.10.1.001
  11. Kim, S. O., J. I. Yun, U. Chung, and K. H. Hwang, 2010: A geospatial evaluation of potential sea effects on observed air temperature. Korean Journal of Agricultural and Forest Meteorology 12(4), 217-224. (In Korean with English abstract) https://doi.org/10.5532/KJAFM.2010.12.4.217
  12. Kim, S. O., J. H. Kim, D. J. Kim, and J. I. Yun, 2012: Wind effect on the distribution of daily minimum temperature across a cold pooling catchment. Korean Journal of Agricultural and Forest Meteorology 14(4), 277-282. (In Korean with English abstract) https://doi.org/10.5532/KJAFM.2012.14.4.277
  13. Westwood, M. V., 1993: Temperate-zone pomology physiology and culture (3rd ed.), Timber Press. 523pp.
  14. Yun, J. I., J. Y. Choi, and J. H. Ahn, 2001: Seasonal trend of elevation effect on daily air temperature in Korea. Korean Journal of Agricultural and Forest Meteorology 3(2), 96-104. (In Korean with English abstract)
  15. 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

피인용 문헌

  1. A Feasibility Study of a Field-specific Weather Service for Small-scale Farms in a Topographically Complex Watershed vol.17, pp.4, 2015, https://doi.org/10.5532/KJAFM.2015.17.4.317
  2. Combined effects of wind and solar irradiance on the spatial variation of midday air temperature over a mountainous terrain vol.51, pp.3, 2015, https://doi.org/10.1007/s13143-015-0074-5
  3. Improving usage of the Korea Meteorological Administration's Digital Forecasts in Agriculture: III. Correction for Advection Effect on Determination of Daily Maximum Temperature Over Sloped Surfaces vol.16, pp.4, 2014, https://doi.org/10.5532/KJAFM.2014.16.4.297
  4. Feasibility of the Lapse Rate Prediction at an Hourly Time Interval vol.18, pp.1, 2016, https://doi.org/10.5532/KJAFM.2016.18.1.55
  5. Diversity patterns and phylogenetic structure of vascular plants along elevational gradients in a mountain ecosystem, South Korea vol.15, pp.2, 2018, https://doi.org/10.1007/s11629-017-4477-x