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Practical applications of spectral analysis to hydrologic time series
Author(s) -
Fleming Sean W.,
Marsh Lavenue A.,
Aly Alaa H.,
Adams Alison
Publication year - 2002
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.523
Subject(s) - computer science , series (stratigraphy) , spectral analysis , inference , process (computing) , hydrological modelling , fourier transform , resource (disambiguation) , frequency analysis , hydrology (agriculture) , algorithm , artificial intelligence , geology , mathematics , geotechnical engineering , quantum mechanics , climatology , paleontology , mathematical analysis , computer network , physics , spectroscopy , operating system
An Erratum has been published for this article in Hydrological Processes 17(4) 2003, 883. Fourier‐transform‐based spectral analysis and filtering techniques, although potentially very useful, have seen little practical application in hydrology. We provide an overview of the Fourier transform and spectral analysis and present examples of how these methods may be applied to practical hydrologic problems: determination of the frequency content of a time series; inference of the physical mechanisms responsible for this frequency content; and evaluation of the performance of a process‐based simulation model used for water resource management. In all cases, the methods performed well and were reasonably straightforward to implement, highlighting their general utility. Copyright © 2002 John Wiley & Sons, Ltd.