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7/14/2009 5:01:48 PM
Creation date
5/20/2009 1:40:31 PM
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UCREFRP
UCREFRP Catalog Number
9645
Author
Woodhouse, C. A., S. T. Gray and D. M. Meko
Title
Updated Streamflow Reconstructions for the Upper Colorado River Basin
USFW Year
2006
USFW - Doc Type
Water Resources Research
Copyright Material
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<br />W05415 <br /> <br />WOODHOUSE ET AL.: UPDATED COLORADO RIVER RECONSTRUCTIONS <br /> <br />W05415 <br /> <br /> <br />X 10. <br />2.4 <br /> <br />2.2 <br /> <br />..,~ 2 <br />E <br /><D <br />o <br />:::.. 1.8 <br />:= <br />o <br />u::: 1.6 <br /> <br />1.4 <br /> <br />1.2 <br /> <br />1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 <br />Ending Year <br /> <br />Figure 4. Reconstructed 20-year running means of Colorado River at Lees Ferry, Arizona, by <br />altemative statistical models. Horizontal lines are the observed mean of the unsmoothed flows for the <br />1906-1995 calibration period ( dashed line) and the reconstructed mean of unsmoothed flows for the <br />entire (1490- 1997) Lees-A reconstruction (solid line). See text and Table 3 for definitions of the models. <br /> <br />[19] In the stepwise procedure for both the residual and <br />standard chronologies, only PC 1 entered as a predictor of <br />flow (Table 2 and Supplementary Data 2). The final models <br />(Table 2, Lees-C and Lees-D) account for 7 ~9% less <br />variance of flow than the corresponding non-PCA models <br />but, with just one predictor variable, have considerably <br />higher F levels. Both PCA models verify well as indicated <br />by the high cross validation RE statistics (Table 2). We <br />repeated the PCA regression exercise with predictor pools <br />made up of the PCs 1-5, rather than PCs screened by <br />correlation with flow, and arrived at the same results, a final <br />model with just PC 1 as the predictor. <br />[20] Descriptive statistics for the observed flows and the <br />four alternative Lees Ferry reconstructions for the 1906- <br />1995 calibration period are listed in Table 3. For the <br />calibration period, the reconstructed and observed means <br />are forced to be equal by the regression process, and <br />differences in standard deviation simply reflect differences <br />in proportion of variance explained by regression. The skew <br />for all four reconstructions is opposite in sign from that of the <br />observed flows, but given the short sample provided by the <br />calibration period, only the skewness of Lees-C is signifi- <br />cantly different from zero at ex = 0.05 [Snedecor and <br />Cochran, 1989]. On the basis of LiUiefors test [Conover, <br />1980] the assumption of normality could not be rejected for <br />any of the four reconstructions (ex = 0.05). A large contrast is <br />seen in first-order autocorrelation of the two reconstructions <br />based on residual chronologies versus the reconstructions <br />using standard chronologies. The reconstructions by residual <br /> <br />chronologies have essentially no first-order autocorrelation, <br />while the observed flows and the reconstructions by standard <br />chronologies are significantly positively autocorrelated (p < <br />0.0 I, one-tailed test). <br />[21] Annual observed flows range from 37% to 166% of <br />the 1906-1995 mean. In general, for any reconstruction we <br />expect departures from the calibration period mean to be <br />underestimated due to compression of variance in regres- <br />sion modeling, but in Table 3 the lowest annual flows in all <br />four reconstructions are lower than the lowest observed <br />flow. This unexpected result might be due to the exagger- <br />ated negative skew of the reconstructions. In contrast, no <br />reconstructed flow is as high as the highest observed flow. <br />The 5-year running means are as expected, with neither <br />highs nor lows as extreme as in the observed data. As <br />expected when using residual chronologies, the 20-year <br />running means are conservative, and the lows appear to <br />be exaggerated by the reconstructions based on standard <br />chronologies (Table 3). <br />[22] The four time series of smoothed full-length (1490- <br />1997) Lees Ferry reconstructions track one another closely <br />(Figure 4). All reconstructions indicate a long-term mean <br />flow below the 1906-1995 observed mean. The long-term <br />reconstructed mean ranges from 94.0% to 96.5% of the <br />observed mean, and so is relatively insensitive to choice of <br />model. If the standard error of an m-year mean of recon- <br />structed values is assumed to be 1/..;m times the root-mean <br />square error of the annual reconstructed values (Table 2) <br />and the errors are normally distributed, all four recon- <br /> <br />Table 4. Statistics of Reconstmcted Flow of Colorado River at Lees Ferry, 1490-1997, and Observed Flow, 1906-199Sa <br /> <br /> Running Means as Percentage of Nonnal <br /> Statistics Lowest Highest <br />Series Mean SD Skew r(l) 1 year 5 years 20 years 1 year 5 years 20 years <br />Lees-A 18097 5555 -0.30 0.04 11 63 83 167 142 115 <br />Lees- B 17957 5616 -0.21 0.29 11 56 77 167 156 124 <br />Lees-C 18124 4990 -0.32 -0.00 13 66 81 172 130 112 <br />Lees- D 17656 5193 ~0.19 0.34 14 50 68 170 143 119 <br />Obs. 18778 5332 0.15 0.25 37 72 85 166 145 116 <br />"Series and columns defined as in Table 3. <br /> 6 of 16 <br />
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