Author(s): Manuel Del Jesus, Salvador Navas, Javier Diez Sierra
Keywords: Flood modeling; Extremes; Stochastic generation; Hybrid downscaling;
Abstract: In this study, a statistical methodology to model river flooding is proposed. The methodology makes use of synthetic generation of river discharges, from fitted observed values, to augment the observational record with likely events that have not been observed. It also relies on computing return periods on the final variable of interest, flooding water depth, from analyzing a complete time series of flooding. Such a series is obtained through hybrid downscaling, which combines dynamic and statistical downscaling to reduce the total computational effort required to generate the series.