The use of resampling for estimating confidence intervals for single site and pooled frequency analysis

A balanced resampling approach is presented for estimating confidence intervals for extreme flow quantiles determined from data at a single site. The approach is also adapted to provide resampled estimates for confidence intervals for extreme flow quantiles obtained from pooled frequency analysis. The balanced resampling approach does not require assumptions, in contrast to conventional approaches that are typically based on an asymptotic formula and require a distributional assumption. The approach is demonstrated to provide useful information in the context of both single site and pooled frequency analysis. The application of the approach also demonstrates the benefits of employing a pooled frequency analysis approach for estimating extreme flow quantiles.