한국농림기상학회지, 제 3권 제2호(2001) (pISSN 1229-5671, eISSN 2288-1859)
Korean Journal of Agricultural and Forest Meteorology, Vol. 3, No. 2, (2001), pp. 96~104

일별 국지기온 결정에 미치는 관측지점 표고영향의 계절변동

윤진일(1), 최재연(2), 안재훈(3)
(1)경희대학교 생명자원과학연구원/농학과
(2)화성군농업기술센터, (3)고령지농업시험장

(2001년 04월 16일 접수)

Seasonal Trend of Elevation Effect on Daily
Air Temperature in Korea

Jin I. Yun(1), Jae-Yeon Choi(2), Jae-Hoon Ahn(2)
(1)Department of Agronomy/Institute of Life Science and Natural Resources,
Kyung Hee University, Suwon 449-701, Korea
(2)Hwasung City Agricultural Technology Center, KARES, Hwaseong 445-890, Korea
(3)National Alpine Agricultural Experiment Station, RDA, Pyongchang 232-950, Korea

Usage of ecosystem models has been extended to landscape scales for understanding the effects of environmental factors on natural and agro-ecosystems and for serving as their management decision tools. Accurate prediction of spatial variation in daily temperature is required for most ecosystem models to be applied to landscape scales. There are relatively few empirical evaluations of landscape-scale temperature prediction techniques in mountainous terrain such as Korean Peninsula. We derived a periodic function of seasonal lapse rate fluctuation from analysis of elevation effects on daily temperatures. Observed daily maximum and minimum temperature data at 63 standard stations in 1999 were regressed to the latitude, longitude, distance from the nearest coastline and altitude of the stations, and the optimum models with $\small{r^2}$ of 0.65 and above were selected. Partial regression coefficients for the altitude variable were plotted against day of year, and a numerical formula was determined for simulating the seasonal trend of daily lapse rate, i.e., partial regression coefficients. The formula in conjunction with an inverse distance weighted interpolation scheme was applied to predict daily temperatures at 267 sites, where observation data are available, on randomly selected dates for winter, spring and summer in 2000. The estimation errors were smaller and more consistent than the inverse distance weighting plus mean annual lapse rate scheme. We conclude that this method is simple and accurate enough to be used as an operational temperature interpolation scheme at landscape scale in Korea and should be applicable to elsewhere.