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http://dx.doi.org/10.3741/JKWRA.2005.38.6.439

Analysis of Hydrologic Time Series Using Wavelet Transform  

Kwon, Hyun-Han (Columbia University in the City of New York)
Moon, Young-Il (Columbia University)
Publication Information
Journal of Korea Water Resources Association / v.38, no.6, 2005 , pp. 439-448 More about this Journal
Abstract
This paper introduces the wavelet transform that was improved by the fourier transform to assess periodicities and trends, we assessed propriety with examples of two monthly precipitation data, annual precipitation, SOI index and SST index. The wavelet transform can effectively assess the power spectrum corresponding to frequency as maintaining chronological characteristics. The results of the analysis using the wavelet transform showed that the monthly precipitation have the strongest power spectrum near that of 1 year, and the annual precipitation represent the dominated spectrum in the band of 2-8 years. Also, the SOI index and SST index indicate the strongest power spectrum in the band of 2-8 years.
Keywords
fourier transform; wavelet transform; spectrum; time series;
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Times Cited By KSCI : 3  (Citation Analysis)
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