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标题：COUPLED WAVELET-AUTOREGRESSIVE MODEL FOR ANNUAL RAINFALL PREDICTION
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作者：S.Tantanee S. Patamatammakul T. Oki V. Sriboonlue T. Prempree
期刊名称：Journal of Environmental Hydrology (ältere Jahrgänge)
印刷版ISSN：1058-3912
电子版ISSN：1996-7918
出版年度：2005
卷号：13
出版社：IAEH
摘要：Because rainfall is one of the most significant parameters in a hydrological model, several stochastic models have been developed to analyze and predict the rainfall process. In recent years, wavelet techniques have been widely applied to various water resources research categories because of their time-frequency representation. This study was undertaken to find an alternative method for rainfall prediction by combining the wavelet technique with a conventional autoregressive (AR) model. The 52-year rainfall records of four stations distributed over the northeastern part of Thailand were analyzed by the coupled Wavelet - AR Model (WARM). Two rainfall variables, the number of rainy days and the amount of rainfall were analyzed to obtain the model parameters. Comparing the correlation of the WARM process with the conventional AR process, it was clearly seen that the WARM process provides a better annual rainfall prediction than the simple AR model.