Hourly hydrological simulation of extreme events for 2021-flood affected catchments in Western Germany

Autor: Han, L., Guse, B., Nguyen, V., Rakovec, O., Guan, X., Vorogushyn, S., Samaniego, L., Merz, B.
Rok vydání: 2023
Zdroj: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
DOI: 10.57757/iugg23-2564
Popis: The July 2021 devastating floods in Central Europe, particularly in the river catchments in Western Germany, have resulted in a large number of death toll and vast economic damage. The BMBF-funded joint project KAHR (https://hochwasser-kahr.de) deals with the effects of this flood and develops scientific knowledge to assist the reconstruction process in flood-prone area in Western Germany, with a focus on the fast-reacting catchments of Ahr, Erft, and Rur. Therefore, small-scale flood modeling with high spatial and temporal resolution is employed to understand past floods and to develop future flood management strategies in these regions. Here, we apply the mesoscale hydrological model mHM at hourly timesteps and around 1 km spatial resolution for the three flood-prone catchments. We are able to accurately capture the dynamics of the extreme flood events for the recent period including the flood in 2021. To assess the present and future flood risk, a regional weather generator and a disaggregation procedure are applied to generate 10,000 years of synthetic hourly meteorological data. These data are used to force the mHM model to simulate the long time series of river discharge. Major flood events are extracted from this synthetic dataset to investigate the spatial-temporal characteristics of extreme flood events and associated flood risks under future climate conditions.
The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Databáze: OpenAIRE