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<p><strong>Abstract.</strong> In this study, the reliability of different versions of autoregressive error models as post-processors for probabilistic streamflow forecasts is evaluated. Rank histograms and reliability indices are used as performance measures. An algorithm for the construction of confidence intervals to indicate ranges of reliable forecasts within the rank histograms is presented. To analyse differences in performance of the post-processors, scatter plots of the standardizeddoi:10.5194/adgeo-29-109-2011 fatcat:2wc574kv7jcphfyor7odb6c4tu