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Evaluation of bias correction methods for ensemble streamflow volume forecasts

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Table 1. Mean error (ME), root mean square error (RMSE), andcorrelation coefficient (ρ) for a 48-year continuous simulation ofmonthly flow volumes for the Des Moines River at Stratford.
Fig. 2. Probability distribution forecasts from Des Moines River en-semble streamflow prediction system for September 1965, with andwithout bias correction applied to the ensemble traces
Figure 4 illustrates the concept of the transformation througha cumulative distribution function
Fig. 4. Illustration of the quantile mapping method. The panels show the empirical cumulative distribution function for the observed andsimulated monthly flow volume from the historical simulation
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