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Synthetic model simulations to understand large regional floods

Authors
/persons/resource/bfguse

Guse,  Björn
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/lihan

Han,  Li
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/dung

Nguyen,  D.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Rakovec,  Oldrich
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Samaniego,  Luis
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/bmerz

Merz,  B.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

/persons/resource/vorogus

Vorogushyn,  S.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Guse, B., Han, L., Nguyen, D., Rakovec, O., Samaniego, L., Merz, B., Vorogushyn, S. (2023): Synthetic model simulations to understand large regional floods, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3234


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020390
Abstract
Extreme floods are evoked by a variety of factors, including high precipitation volume and/or intensities and specific pre-event conditions in the catchments. Due to that, each extreme regional flood is characterized by event-specific spatio-temporal variability in flood-inducing characteristics. Thus, the flood conditions vary along the course of large rivers and could be higher/lower, in particular after large confluences.In this study, we analyse event characteristics of extreme floods along the Danube river basin. In order to extend the limited number of extreme flood events in historical data, we apply the mesoscale Hydrological Model mHM for the region. mHM is calibrated and validated to a large set of about a hundred gauges in Germany with a focus on peak flow. The model is fed by the stochastic regional weather generator RWG which allows the generation of long synthetic weather data. Through simulations of these two combined models, a set of 60,000 years of synthetic stream flow data series is derived at several gauges. In the next step, a large number of extreme flood events with different characteristics are derived. This event-rich dataset is then used for the analysis to enhance the understanding of large regional floods and to trace the flood characteristics back to the meteorological and catchment event conditions in the catchment.