Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble

Willkofer, Florian; Wood, Raul R.; Ludwig, Ralf

doi:https://doi.org/10.5194/hess-28-2969-2024

Articles | Volume 28, issue 13

https://doi.org/10.5194/hess-28-2969-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-28-2969-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 13

Research article

|

08 Jul 2024

Research article |

| 08 Jul 2024

Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble

Florian Willkofer, Raul R. Wood, and Ralf Ludwig

Supplement

https://doi.org/10.5194/hess-28-2969-2024-supplement

Data sets

CRCM5-LE ClimEx Ouranos https://www.climex-project.org/data-access/

European Digital Elevation Model (EU-DEM) European Environment Agency https://www.eea.europa.eu/data-and-maps/data/eu-dem

CORINE Land Cover 2006 (raster 100m), Europe, 6-yearly - version 2020_20u1 European Environment Agency https://doi.org/10.2909/08560441-2fd5-4eb9-bf4c-9ef16725726a

Model code and software

WaSiM (Richards) Jörg Schulla http://wasim.ch/en/products/wasim_richards.htm

Short summary

Severe flood events pose a threat to riverine areas, yet robust estimates of the dynamics of these events in the future due to climate change are rarely available. Hence, this study uses data from a regional climate model, SMILE, to drive a high-resolution hydrological model for 98 catchments of hydrological Bavaria and exploits the large database to derive robust values for the 100-year flood events. Results indicate an increase in frequency and intensity for most catchments in the future.