KIT | KIT-Bibliothek | Impressum | Datenschutz

Streamflow simulations for the extreme drought event of 2018 on the Rhine River Basin using WRF-Hydro

Campoverde, Andrea L. 1; Ehret, Uwe 2,3; Ludwig, Patrick ORCID iD icon 4; Pinto, Joaquim G. 4
1 Karlsruher Institut für Technologie (KIT)
2 Institut für Wasser und Gewässerentwicklung (IWG), Karlsruher Institut für Technologie (KIT)
3 Institut für Wasser und Umwelt (IWU), Karlsruher Institut für Technologie (KIT)
4 Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO), Karlsruher Institut für Technologie (KIT)

Abstract:

Recent drought events have significantly affected navigation through the Rhine River due to low water levels. This study assesses the capability of the Weather Research and Forecasting with Hydro extension (WRF-Hydro) to reproduce the 2018 extreme drought conditions in the Rhine River basin. While WRF-Hydro has primarily been used for flood studies, extreme low streamflow events have rarely been explored with hydrological models in this region.
We simulated Rhine River streamflow using ERA5 reanalysis dataset, and calibrated the model using 2016-2017 observed discharge values. Our modelling approach innovatively estimated essential hydrological parameters: infiltration scaling (REFKDT) and percolation (SLOPE) factors obtained from land cover information, and surface retention depth (RETDEPRTFAC) from the digital elevation model (DEM) derived slope. Statistical metrics showed median values of Nash-Sutcliffe Efficiency (NSE) and Kling-Gupta Efficiency (KGE) of 0.50 and 0.62, respectively. Modelling Lake Constance’s outflow was critical due to its influence on the upper Rhine basin. However, the lake module dampened streamflow excessively; therefore, excluding it produced more realistic hydrographs. ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2025
Sprache Englisch
Identifikator ISSN: 1571-5124, 1814-2060
KITopen-ID: 1000186399
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in International Journal of River Basin Management
Verlag Taylor and Francis
Seiten 1–18
Vorab online veröffentlicht am 02.11.2025
Nachgewiesen in Dimensions
OpenAlex
Scopus
KIT – Die Universität in der Helmholtz-Gemeinschaft
KITopen Landing Page