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Downscaled Rainfall Prediction Model (DRPM) using a Unit Disaggregation Curve (UDC)
1Graduate School, Khon Kaen University, Muang, Khonkaen, Thailand
2Engineering Faculty, Khon Kaen University, Muang, Khonkaen, Thailand
3Institute of Industrial Science, University of Tokyo, Tokyo, Japan
Abstract. This study was undertaken to identify the process for generating finer time scaled rainfall from higher time scaled data. The Downscaled Rainfall Prediction Model (DRPM) using the technique of unit disaggregation curve (UDC) was developed under the concept of coupling the stochastic autoregressive (AR) model with a wavelet filter and disaggregation model. Sequences of the number of rainy days and monthly rainfall were simulated from 52-year rainfall records at 4 stations in the northeastern part of Thailand. Compared with actual rainfall sequences, the 30 year generated sequences provided R-square values of 0.47-0.60. The model was applied to forecast the number of rainy days and monthly rainfall for the year of 2002. When compared with actual records the prediction model provided R-square values of 0.50 to 0.79.
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Citation: Tantanee, S., Patamatamakul, S., Oki, T., Sriboonlue, V., and Prempree, T.: Downscaled Rainfall Prediction Model (DRPM) using a Unit Disaggregation Curve (UDC), Hydrol. Earth Syst. Sci. Discuss., 2, 543-568, 2005. Bibtex EndNote Reference Manager
