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  Event peak flow dataset for spatial counterfactual events, Germany

Nguyen, D., Merz, B., Guse, B., Han, L., Guan, X., Rakovec, O., Samaniego, L., Ahrens, B., Vorogushyn, S. (2024): Event peak flow dataset for spatial counterfactual events, Germany.
https://doi.org/10.5880/GFZ.4.4.2024.002

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 Creators:
Nguyen, D.1, Author              
Merz, B.1, Author              
Guse, Björn2, Author
Han, Li1, Author              
Guan, Xiaoxiang1, Author              
Rakovec, Oldrich2, Author
Samaniego, Luis2, Author
Ahrens, Bodo2, Author
Vorogushyn, S.1, Author              
Affiliations:
14.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              
2External Organizations, ou_persistent22              

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 Abstract: This dataset comprises event peak flows, representing extreme floods at 516 stations in Germany. The data generation process involves several key steps. Initially, observed rainfall events associated with 10 historical flood disasters from 1950 to 2021 are undergone spatial shifts. These shifts involve three distances (20, 50, and 100 km) and eight directions (North, Northeast, East, Southeast, South, Southwest, West, Northwest), resulting in 24 counterfactual precipitation events. Including the factual (no shift) event, a total of 25 distinct shifting events are considered. Subsequently, these shifted fields are used as atmospheric forcing for a mesoscale hydrological model (mHM) set up and calibrated for the entire Germany. The model produces daily stream flows across its domain, from which the event peak flows are derived. This dataset is expected to provide a valuable resource for analyzing and modeling the dynamics extreme flood events in Germany.

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 Dates: 20242024
 Publication Status: Finally published
 Pages: -
 Publishing info: Potsdam : GFZ Data Services
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.5880/GFZ.4.4.2024.002
GFZPOF: p4 T5 Future Landscapes
 Degree: -

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