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Spatial interpolation has become a comon procedure in converting temperature forecasts andobservations at irregular points for use in regional scale ecosystem modeling and the model baseddecision suport systems for resource management. Neglection of terrain effects in most spatialinterpolations for short term temperatures may cause erroneous results in mountainous regions,where the observation network hardly covers full features of the complicated terrain. A spatialinterpolation model for daytime hourly temperature was formulated based on error analysis ofunsampled site with respect to the site topography. The model has a solar irradiance correctionscheme in adition to the comon backbone of the lapse rate - corrected inverse distance weighting.The solar irradiance scheme calculates the direct, diffuse and reflected components of shortwaveradiation over any surfaces based on the sun-slope geometry and compares the sum with that over areference surface. The deviation from the reference radiation is used to calculate the temperaturecorrection term by an empirical conversion formula between the solar energy and the air temperatureon any sloped surfaces at an hourly time scale, which can be prepared seasonally for each land covertype. When this model was aplied to a 14 km by 22 km mountainous region at a 10 m horizontalresolution, the estimated hourly temperature surfaces showed a better agreement with the observeddistribution than those by a conventional method.