Wavelet-Based Hydrological Time Series Forecasting
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These days wavelet analysis is becoming popular for hydrological time series simulation and forecasting. There are, however, a set of key issues influencing the wavelet-aided data preprocessing and modeling practice that need further discussion. This article discusses four key issues related to wavelet analysis: discrepant use of continuous and discrete wavelet methods, choice of mother wavelet, choice of temporal scale, and uncertainty evaluation in wavelet-aided forecasting. The article concludes with a personal reflection on solving the four issues for improving and supplementing relevant wavelet studies, especially wavelet-based artificial intelligence modeling.
Artificial intelligence modeling
Hydrological time series analysis
DepartmentBiological and Agricultural Engineering (College of Agriculture and Life Sciences)
Chen, Yaning; Liu, Yong; Sang, Yan-Fang; Singh, Vijay P.; Sun, Fubao; Yang, Moyuan (2016). Wavelet-Based Hydrological Time Series Forecasting. Available electronically from