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  Flood event and catchment characteristics in Germany and Austria

Macdonald, E., Merz, B., Ullrich, S., Lüdtke, S., Schröter, K., Guse, B., Wietzke, L., Kemter, M., Ahrens, B., Vorogushyn, S. (2022): Flood event and catchment characteristics in Germany and Austria.
https://doi.org/10.5880/GFZ.4.4.2021.004

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 Urheber:
Macdonald, Elena1, Autor              
Merz, B.1, Autor              
Ullrich, Sophie1, Autor              
Lüdtke, Stefan1, Autor              
Schröter, Kai1, Autor              
Guse, Björn1, Autor              
Wietzke, Luzie1, Autor              
Kemter, Matthias1, Autor              
Ahrens, Bodo2, Autor
Vorogushyn, S.1, Autor              
Affiliations:
14.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              
2External Organizations, ou_persistent22              

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Schlagwörter: flood event-causing precipitation, pre-event moisture state, catchment response, flood event types, catchment characteristics, climate > meteorological phenomenon > atmospheric precipitation, hydrosphere > hydrologic cycle > flood > flood runoff, hydrosphere > water (geographic) > surface water > freshwater > rain water, pedosphere > soil > soil water > soil moisture, science > natural science > atmospheric science > meteorology > hydrometeorology
 Zusammenfassung: The dataset comprises a range of variables describing characteristics of flood events and river catchments for 480 gauging stations in Germany and Austria. The event characteristics are asscoiated with annual maximum flood events in the period from 1951 to 2010. They include variables on event precipitation, antecedent catchment state, event catchment response, event timing, and event types. The catchment characteristics include variables on catchment area, catchment wetness, tail heaviness of rainfall, nonlinearity of catchment response, and synchronicity of precipitation and catchment state. The variables were compiled as potential predictors of heavy tail behaviour of flood peak distributions. They are based on gauge observations of discharge, E-OBS meteorological data (Haylock et al. 2008), mHM hydrological model simulations (Samaniego et al., 2010), 4DAS climate reanalysis data (Primo et al., 2019), and the 25x25 m resolution EU-DEM v1.1. A short description of the data processing is included in the file inventory and more details can be found in Macdonald et al. (2022).

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Sprache(n): eng - Englisch
 Datum: 20222022
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: Potsdam : GFZ Data Services
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.5880/GFZ.4.4.2021.004
 Art des Abschluß: -

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