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This paper considers the regional estimation of high quantiles of annualmaximal river flow distributions $F$, an important problem from flood frequencyanalysis. Even though this particular problem has been addressed by manypapers, less attention has been payed to incorporating seasonal variability andspatial dependence into the methods. We are going to discuss two regionalestimators of high quantiles of local distributions $F$ that are able to dealwith these important features, namely, a parametric approach based on so-calledtwo-component extreme value distributions and a semi-parametric approach basedon regional estimation of a tail index. The asymptotic normality of theestimators is derived for both procedures, which for instance enables us toaccount for estimation uncertainty without the need of parametric dependencemodels or bootstrap procedures. A comprehensive simulation study is conductedand our main findings are illustrated on river flow series from the Mulde basinin Germany, where people have suffered several times from severe floods overthe last 100 years.

Dealing with seasonal variability and inter-site dependence in regional flood frequency analysis