Discharge data for flood events at 516 river gauges across Germany (1954–2021), generated using the perfect storm method

DOI

This dataset comprises discharge values for all flood events at 516 river gauges across Germany, generated using our perfect storm method. The discharge data were simulated with the mesoscale hydrological model (mHM). In total, the dataset includes 120 scenarios: 110 recombined events and 10 original flood events.

This dataset comprises discharge value of all the flood events for 516 river gauges in Germany, which is produced by our perfect storm method. The discharge data is simulated with the mesoscale hydrological model mHM. In total, there are 120 scenarios including 110 recombined events and the 10 original flood events.

File description:
There are in total 12 setups, which represent 12 rainfall events. Inside each of the setup folders, there are 12 events files, which represent the original/recombination with 12 soil moisture events.

Identifier
DOI https://doi.org/10.5880/GFZ.RDOQ.2025.003
Related Identifier References https://doi.org/10.5194/essd-10-565-2018
Related Identifier References https://doi.org/10.5194/hess-14-1277-2010
Related Identifier IsSupplementTo https://doi.org/10.1038/s43247-025-02691-6
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:8557
Provenance
Creator Han, Li ORCID logo; Merz, Bruno ORCID logo; Nguyen, Viet Dung ORCID logo; Guse, Björn ORCID logo; Samaniego, Luis ORCID logo; Schröter, Kai ORCID logo; Vorogushyn, Sergiy ORCID logo
Publisher GFZ Data Services
Contributor Han, Li; Merz, Bruno; Nguyen, Viet Dung; Guse, Björn; Samaniego, Luis; Schröter, Kai; Vorogushyn, Sergiy; GFZ Helmholtz Centre for Geosciences, Section Hydrology, Potsdam, Germany; Christian-Albrechts-University of Kiel, Institute of Natural Resource Conservation, Department of Hydrology and Water Resources Management, Kiel, Germany; Technische Universität Braunschweig, Leichtweiß-Institute for Hydraulic Engineering and Water Resources, Division Hydrology and River Basin Management, Braunschweig, Germany
Publication Year 2025
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Han, Li (GFZ Helmholtz Centre for Geosciences, Potsdam, Germany); Han, Li (GFZ Helmholtz Centre for Geosciences, Section Hydrology, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Geosciences
Spatial Coverage (4.187W, 45.378S, 19.068E, 55.482N); Spatial domain is for entire Germany; Tempoaral coverage is from 1954 to 2021