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to the error bars to judge how much importance to attach to any particular recon-
structed flow, and can use the error variance of the reconstructed annual flows to
derive appropriate error bars for relatively simple statistical summary statistics of
annual flows, such as the n -year mean flow (e.g., Meko et al. 2001 ; Woodhouse
et al. 2006 ) .
For more complicated statistical summary statistics, mathematical derivation
of the error bars may not be straightforward. An alternative approach is to dis-
pense with interpretation of the reconstruction itself and resort to probabilistic
analysis of a large number of plausible realizations of true flow derived from the
annual reconstructed values and their uncertainty. Such realizations have been called
'noise-added' reconstructions (Meko et al. 2001 ) , referring to their generation by the
equation:
u i = ˆ
ˆ
y
+
e i
(8.1)
where
y is a vector time series of reconstructed flows and e i is a sample of random
noise of the same length drawn from a normal distribution with appropriate variance.
A large number (e.g., 1000) of such noise-added reconstructions constitutes a
plausible ensemble of 'true' flows, which can be analyzed probabilistically for
streamflow statistics. Noise-added reconstructions can be used to estimate prob-
abilities of past occurrence of any hydrologic 'event' that can be quantitatively
defined. For example, in the fourth year of a drought, we might be interested in the
probability that 4 consecutive low-flow years are followed by a fifth low-flow year.
The following example utilizes the updated reconstruction Lees-B of annual
streamflow for the Colorado River at Lees Ferry, Arizona (Woodhouse et al. 2006 ) ,
to place the recent severe 5-year drought (2000-2004) in a long-term perspective.
The reconstruction was derived by multiple linear regression from a network of stan-
dard tree-ring chronologies, extends over the period 1490-1998, and is based on a
1906-1995 calibration period. The regression model explained 84% of the variance
of flows for the calibration period, verified well, and had residuals that conformed
reasonably well to the regression assumptions (Woodhouse et al. 2006 ) . The Lees
Ferry observed flow for the period 1906-2004 has a mean of 18,540 million cubic
meters (mcm) and standard deviation of 5368.6 mcm.
Two essential steps in the analysis of the 2000-2004 drought are the definition
of the 'event' and the statement of a null hypothesis:
ˆ
1. Event: flow less than a specified drought threshold for at least 5 consecutive years
2. H0: at least one event occurred in the period 1490-1988
The 'event' defined for this example is the occurrence of 5 or more consecu-
tive years of flow below a drought threshold, which is arbitrarily specified as the
0.25 quantile of observed annual flows for 1906-2004. The 0.25 quantile adopted
as the drought threshold is equal to 14,365 mcm, or roughly 77% of the mean
annual flow. The event is of interest because five consecutive extremely low flows
indeed did occur on the Colorado River in water years 2000-2004, resulting in
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