EGU23-11966, updated on 30 Nov 2023
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Spatially consistent flood risk assessment for Germany

Bruno Merz1,2, Mostafa Farrag1, Xiaoxiang Guan1, Björn Guse1, Li Han1, Heidi Kreibich1, Dung Nguyen1, Nivedita Sairam1, Kai Schröter3, and Sergiy Vorogushyn1
Bruno Merz et al.
  • 1GFZ German Research Centre for Geosciences, Section Hydrology, Potsdam, Germany (
  • 2Institute for Environmental Sciences and Geography, University of Potsdam, Germany
  • 3Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Technical University Braunschweig, Germany

Flood risk assessments are an important basis for risk management. For larger regions, these assessments are often based on small-scale modelling, which is subsequently compiled into a large-scale picture. However, this approach neglects spatial interactions, such as decreasing risk due to upstream dike breaches, and does not provide realistic risk statements for larger regions. This paper presents the ‘derived flood risk analysis’ as an alternative approach and its implementation for Germany. A model chain consisting of hydrological, hydraulic, and damage models simulates the occurrence of extreme runoff, inundation, and direct economic damages. This model chain is driven by a weather generator that provides spatially consistent fields of climate variables. The generation of very long (several thousand years) time series with daily resolution allows the estimation of extreme runoff and corresponding damages. The consideration of the spatial relations in all model components, from the weather generator to the damage model, is able to provide consistent large-scale risk statements. This avoids the significant overestimates typical of many large-scale flood risk assessments.

How to cite: Merz, B., Farrag, M., Guan, X., Guse, B., Han, L., Kreibich, H., Nguyen, D., Sairam, N., Schröter, K., and Vorogushyn, S.: Spatially consistent flood risk assessment for Germany, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-11966,, 2023.