Risk Estimates from Process-based Regional Flood Model for Germany

DOI

This dataset provides risk estimates from the long-term (5000-year) simulations of the process-based Regional Flood Model chain (RFM) developed for Germany (Falter et al. 2015). The 5000-year simulation is run as an ensemble of 50 100-year simulations. Each of those 100-year simulations is referred to as a scenario. The risk estimates are derived in Euros adjusted to prices as of 2018 for all major catchments in Germany – Elbe, Danube, Rhine, Weser and Ems. The dataset consists of the risk estimates for every simulated event at the catchment-level classified according to the sector – private sector (ps), commercial (com) and agriculture (agr). Losses to buildings and contents are estimated for private and commercial sectors. Crop losses are estimated for the agriculture sector. The full description of the RFM along with the derivation of the risk estimates and uncertainty measurement is provided in Sairam et al. (2021).

Identifier
DOI https://doi.org/10.5880/GFZ.4.4.2021.003
Related Identifier https://doi.org/10.1016/j.jhydrol.2015.02.021
Related Identifier https://doi.org/10.1029/2021EF002259
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7190
Provenance
Creator Sairam, Nivedita ORCID logo; Brill, Fabio ORCID logo; Sieg, Tobias ORCID logo; Farrag, Mostafa ORCID logo; Kellermann, Patric ORCID logo; Nguyen, Viet Dung ORCID logo; Lüdtke, Stefan ORCID logo; Merz, Bruno ORCID logo; Schroeter, Kai ORCID logo; Vorogushyn, Sergiy ORCID logo; Kreibich, Heidi ORCID logo
Publisher GFZ Data Services
Contributor Sairam, Nivedita; Brill, Fabio; Sieg, Tobias; Farrag, Mostafa; Kellermann, Patric; Nguyen, Viet Dung; Lüdtke, Stefan; Merz, Bruno; Schroeter, Kai; Vorogushyn, Sergiy; Kreibich, Heidi
Publication Year 2021
Funding Reference Bundesministerium für Bildung und Forschung, 01LZ1703A H; Bundesministerium für Bildung und Forschung, 01LP1903E; Deutsche Forschungsgemeinschaft, 278017089
Rights CC BY-SA 4.0; http://creativecommons.org/licenses/by-sa/4.0/
OpenAccess true
Contact Sairam, Nivedita (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Geosciences
Spatial Coverage (5.720W, 47.526S, 15.036E, 54.783N); Germany -