16th Conference on Climate Variability and Change

P1.14

An analysis of century-long Southwest U. S. precipitation data using wavelet analysis

Eileen A. Hall-McKim, University of Colorado, CIRES/NOAA/AL, Boulder, CO; and G. N. Kiladis

We examine the dynamics of intraseasonal, interannual, and decadal variability in Southwest U. S. rainfall patterns utilizing wavelet analysis (WT) to describe the spatial-temporal behavior of precipitation. WT applied to time series allows not only detection of the periodic fluctuation in frequency space, but also their temporal localization.

We analyze daily precipitation data from station and reanalysis data for the years 1900-2001 for regions of Arizona/New Mexico (AZ/NM) in order to identify dominant modes of variability of precipitation and coherence with large-scale circulation. Preliminary analyses of annual time series reveal that summer rainfall in the AZ/NM is modulated by large-scale, low-frequency (20-50 day) dynamics. Improved understanding of these interactions could lead to more accurate seasonal forecasting of precipitation, important for management of Western U. S. water resources and for GCM evaluation in climate change studies.

References:

Hall-McKim, E, and N. Nolin; 2004; Variability of the North American Monsoon System: An analysis of climate dynamics and frequency modes. Submitted Int. J. Climatol.

Kim, J. 2002. Precipitation variability associated with the North American Monsoon in the 20th Century. Geophysical Research Letters, 29, (13), 1650.

Kumar, P., and E. Foufoula-Georgiou, 1997. Wavelet analysis for geophysical applications. Rev. of Geophysics, 35, 4, 385-412.

Tennent, W. J. and B. Hewitson. 2002. Intraseasonal rainfall characteristics and their importance to the seasonal prediction problem. Int. J. Climatol. 22; 1033-1048.

Torrence and Compo. 1998. A practical guide to wavelet analysis. Bull. Amer.Met Soc., 79, (1), 61-78.

Poster Session 1, Poster Session: Climate Assessments, Drought, and Observed Climate Change
Monday, 10 January 2005, 2:30 PM-4:00 PM

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