Exploratory Data Analysis Techniques Applied to Hydrological Time Series. II: Wavelets Transform

Diego A Rivera; Mario F Lillo; José L Arumí

doi:10.13031/2013.24292

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Exploratory Data Analysis Techniques Applied to Hydrological Time Series. II: Wavelets Transform

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  21st Century Watershed Technology: Improving Water Quality and Environment Conference Proceedings, 29 March - 3 April 2008, Concepcion, Chile 701P0208cd.(doi:10.13031/2013.24292)
Authors:   Diego A Rivera, Mario F Lillo, José L Arumí
Keywords:   Precipitation, ENSO, El Niño, wavelet transform, Chile

This paper adresses the application of wavelet transform for exploratory porpouses. Wavelet transform is suitable to explore trends, time-frecuency structures and asociations with related data. Two applications are presented: the use of wavelet to search trends in rainfall time series in Chile and the posibble association between rainfall time series and Sea Surface Temperatures at El Nio3.4 region using redundant wavelet, cross spectra and wavelet coherency. These techniques allow a process of exploratory data analysis, knowledge discovery and hypothesis construction rather than hypotesis testing. Also, further applications are discusse..

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