1. Forecasting of Daily Minimum Temperature during Pear Blooming Season in Naju Area using a Topoclimate-based Spatial Interpolation Model
- Author
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J.J. Choi, K.S. Cho, J.H. Han, H.I. Jang, J.H. Choi, and B.L. Lee
- Subjects
Hydrology ,PEAR ,Geography ,Frost ,Climate model ,Terrain ,Drainage ,Orchard ,Predictability ,Multivariate interpolation - Abstract
To improve the accuracy of frost warning system for pear orchard in a complex terrain in Naju area, the daily minimum temperature forecasted by Korea Meteorological Administration (KMA) was interpolated using a regional climate model based on topoclimatic estimation and optimum scale interpolation from 2004 to 2005. Based on the validation experiments done for three pear orchards in the spring of 2004, the results showed a good agreement between the observed and predicted values, resulting in improved predictability compared to the forecast from Korea Meteorological Administration. The differences between the observed and the predicted temperatures were (on average ) in the valley, (on average ) in the riverside and (on average ) in the hills. Notably, the errors have been reduced significantly for the valley and riverside areas that are more affected by the cold air drainage and more susceptible to frost damage than hills.
- Published
- 2007
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