Abstract
Precipitation temporal variability on 96 years is studied by the application of the wavelet transform to five precipitation series at locations in northern California, U.S.A. The wavelet transform spectra are computed for annual total precipitation and wetseas on precipitation of each record. Comparing two results based on annual and wet season data, all components appear seasonally dependent. Meanwhile, monotonic trends estimated by wavelet transform indicate wetting in the northern California precipitation data. According to the wavelet analysis, the spatial pattern of the precipitation field may have been changed since 1945, and the dominant period is about 16 years. In addition, the recent increasing precipitation trend in northern California can be interpreted as the coupled effect of the extremely long-period component and multi-decadal period components.
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Andres, E.L. and Trevino, G. (1997). “Using wavelets to detect trends.”J. Atmos. Oceanic Technol., Vol. 14, pp. 554–564.
Cho, Y.J. and Kim, J.M. (1998). “Water supply forecast using multiple ARMA model based on the analysis of water consumption mode with wavelet transform.” K.W.R.A., Vol. 31, pp. 317–326.
Donoho, D.l., Johnstone, I.M., Kerkyacharian, G., and Picard, D. (1995). “Wavelet shrinkage: Asymptotia.”J.R. Stat. Soc., Vol. B 57, pp. 301–337.
Datsenko, N.M., Shabalova, M.V., and Sonechkin, D.M. (2001). “Seasonality of multidecadal and centennial variability in European temperatures: The wavelet approach.”J. Geophys. Res., Vol. 106, pp. 12449–12462.
Gaucherel, C. (2002). “Use of wavelet transform for temporal characterization of remote watershed.”J. Hydrol. Vol. 269, pp. 101–121.
Holschneider, M. (1995). “Wavelets: Analysis tool.”Oxford Univ. Press, New York.
Jay, D.A. and Flinchem, E.P. (1997). “Interaction of fluctuating river flow with a barotropic tide: A demonstration of wavelet tidal analysis methods.”J. Geophys. Res., Vol. 102, pp. 5705–5720.
Jay, D.A. and Flinchem, E.P. (1999). “A comparison of methods for analysis of tidal records containing multi-scale non-tidal background energy.”Continental Shelf Res. Vol. 19, pp. 1695–1732.
Labat, D., Ababou, R., and Mangin, A. (2000). “Rainfall-runoff relations for Karstic springs. Part II: Continuous wavelet and discrete orthogonal multiresolution analyses.”J. Hydrol. Vol. 238, pp. 149–278.
Louis, A.K., Maab, P., and Rieder, A. (1997). “Wavelets: Theory and application.”John Wiley & Sons, Chichester.
Moreau, F., Gibert, D., and Saracco, G. (1996). “Filtering nonstationary geophysical data with orthogonal wavelets.”Geophys. Res. Lett., Vol. 23, pp. 407–410.
Smith, L.C., Turcott, D.L., and Isacks, B.L. (1998). “Stream flow characterization and feature detection using a discrete wavelet transform.”Hydrol. Proc., Vol. 12, pp. 233–249.
Sonechkin, D.M., Astafyeva, N.M., Datsenko, N.M., Ivachtchenko, N.N., and Jakubiak, B. (1999). “Multiscale oscillations of the global climate system as revealed by wavelet transform of observational data time series.”Theor. Appl. Climatol., Vol. 64, pp. 131–142.
Torrence, C. and Compo, G.P. (1998). “A practical guide to wavelet analysis.”Bull. Am. Meteorol. Soc., Vol. 79, pp. 61–78.
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Kim, S. Wavelet analysis of precipitation variability in northern California, U.S.A.. KSCE J Civ Eng 8, 471–477 (2004). https://doi.org/10.1007/BF02829169
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DOI: https://doi.org/10.1007/BF02829169