2026-05-26T20:15:09Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:71902021-10-06T11:01:44ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.4.4.2021.003 Sairam, Nivedita Nivedita Sairam 0000-0003-4611-9894 GFZ German Research Centre for Geosciences, Potsdam, Germany Brill, Fabio Fabio Brill 0000-0001-7197-0002 GFZ German Research Centre for Geosciences, Potsdam, Germany Sieg, Tobias Tobias Sieg 0000-0003-3859-9082 Institute for Environmental Sciences and Geography, University of Potsdam, Germany Farrag, Mostafa Mostafa Farrag 0000-0002-1673-0126 GFZ German Research Centre for Geosciences, Potsdam, Germany Kellermann, Patric Patric Kellermann 0000-0003-0775-6487 GFZ German Research Centre for Geosciences, Potsdam, Germany Nguyen, Viet Dung Viet Dung Nguyen 0000-0002-0508-4376 GFZ German Research Centre for Geosciences, Potsdam, Germany Lüdtke, Stefan Stefan Lüdtke 0000-0002-7888-9175 GFZ German Research Centre for Geosciences, Potsdam, Germany Merz, Bruno Bruno Merz 0000-0002-5992-1440 GFZ German Research Centre for Geosciences, Potsdam, Germany Schroeter, Kai Kai Schroeter 0000-0002-3173-7019 GFZ German Research Centre for Geosciences, Potsdam, Germany Vorogushyn, Sergiy Sergiy Vorogushyn 0000-0003-4639-7982 GFZ German Research Centre for Geosciences, Potsdam, Germany Kreibich, Heidi Heidi Kreibich 0000-0001-6274-3625 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2021 risk model chain continuous simulation multi-sector risk EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > FLOODS EARTH SCIENCE SERVICES > MODELS safety > risk assessment Sairam, Nivedita Nivedita Sairam 0000-0003-4611-9894 GFZ German Research Centre for Geosciences, Potsdam, Germany Sairam, Nivedita Nivedita Sairam 0000-0003-4611-9894 GFZ German Research Centre for Geosciences, Potsdam, Germany Brill, Fabio Fabio Brill 0000-0001-7197-0002 GFZ German Research Centre for Geosciences, Potsdam, Germany Sieg, Tobias Tobias Sieg 0000-0003-3859-9082 Institute for Environmental Sciences and Geography, University of Potsdam, Germany Farrag, Mostafa Mostafa Farrag 0000-0002-1673-0126 GFZ German Research Centre for Geosciences, Potsdam, Germany Kellermann, Patric Patric Kellermann 0000-0003-0775-6487 GFZ German Research Centre for Geosciences, Potsdam, Germany Nguyen, Viet Dung Viet Dung Nguyen 0000-0002-0508-4376 GFZ German Research Centre for Geosciences, Potsdam, Germany Lüdtke, Stefan Stefan Lüdtke 0000-0002-7888-9175 GFZ German Research Centre for Geosciences, Potsdam, Germany Merz, Bruno Bruno Merz 0000-0002-5992-1440 GFZ German Research Centre for Geosciences, Potsdam, Germany Schroeter, Kai Kai Schroeter 0000-0002-3173-7019 GFZ German Research Centre for Geosciences, Potsdam, Germany Vorogushyn, Sergiy Sergiy Vorogushyn 0000-0003-4639-7982 GFZ German Research Centre for Geosciences, Potsdam, Germany Kreibich, Heidi Heidi Kreibich 0000-0001-6274-3625 GFZ German Research Centre for Geosciences, Potsdam, Germany Sairam, Nivedita GFZ German Research Centre for Geosciences, Potsdam, Germany 2021-08-18 Dataset 10.1016/j.jhydrol.2015.02.021 10.1029/2021EF002259 CC BY-SA 4.0 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).
Germany - 5.71967 15.0361 47.5261 54.783 Bundesministerium für Bildung und Forschung http://doi.org/10.13039/501100002347 01LZ1703A-H Project DECIDER Bundesministerium für Bildung und Forschung http://doi.org/10.13039/501100002347 01LP1903E ClimXtreme Research Network Deutsche Forschungsgemeinschaft http://doi.org/10.13039/501100001659 278017089 SPATE