Wavelet-Based Hydrological Time Series Forecasting
Publication: Journal of Hydrologic Engineering
Volume 21, Issue 5
Abstract
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.
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Acknowledgments
The authors gratefully acknowledged the most appropriate comments and suggestions given by the editors and the anonymous reviewers. The author also thanks Ms. Feifei Liu for her assistance in the preparation of the manuscript. This project was financially supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB03030202); the National Natural Science Foundation of China (41330529, 41201036); the Program for the “Bingwei” Excellent Talents from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; the Chinese Academy of Sciences Pioneer Hundred Talents Program; and the Opening Fund of the State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences.
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Published In
Journal of Hydrologic Engineering
Volume 21 • Issue 5 • May 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jul 15, 2015
Accepted: Nov 19, 2015
Published online: Feb 12, 2016
Published in print: May 1, 2016
Discussion open until: Jul 12, 2016
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