Floods in mountainous regions are characterized by strong spatial variability due to complex interactions among topography, climate, snowmelt processes, and catchment properties. This thesis investigates the statistical behaviour of simulated annual maximum floods across the Greater Alpine Region using a large-sample hydrological framework. The analysis is based on simulated daily discharge time series for 5,757 catchments over the period 1950–2022. Annual Maximum Series were extracted for each catchment and analysed using descriptive statistics, L-moment-based indicators, and Generalized Extreme Value distribution modelling. The study focuses on mean annual maximum specific discharge, the coefficient of variation, conventional skewness, L-skewness, and L-kurtosis to evaluate differences in flood magnitude, variability, asymmetry, and upper-tail behaviour.