Engineers at Ruhr-Universität Bochum have developed a new statistical model that predicts how likely extreme flood events are in Germany. In contrast to earlier models, they distinguish between several types of floods with different causes, such as heavy rain, snow or spatially extended rain events with long durations. The model improves the assessment of flood risks and to plan appropriate protective measures. The team led by Professor Andreas Schumann from the Institute of Hydrology, Water Resources Management and Environmental Engineering reports on its work in the Bochum science magazine Rubin.