Articles | Volume 29, issue 17
https://doi.org/10.5194/hess-29-4109-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-4109-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Sep 2025
Research article |
| 05 Sep 2025
| 05 Sep 2025
Enhanced hydrological modeling with the WRF-Hydro lake–reservoir module at a convection-permitting scale: a case study of the Tana River basin in East Africa
Ling Zhang
College of Urban and Environmental Sciences, Hubei Normal University, Huangshi 435002, China
Centre for Severe Weather and Climate and Hydro-geological Hazards, Wuhan 430074, China
Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen 5007, Norway
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen 5007, Norway
Centre for Severe Weather and Climate and Hydro-geological Hazards, Wuhan 430074, China
Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
Joël Arnault
Institute of Geography, University of Augsburg, Augsburg, Germany
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Garmisch-Partenkirchen, Germany
Stefan Sobolowski
Geophysical Institute, University of Bergen, Bergen, Norway
Xiaoling Chen
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Jianzhong Lu
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Anthony Musili Mwanthi
Department of Earth and Climate Sciences, University of Nairobi, Nairobi, Kenya
IGAD Climate Prediction and Applications Centre, Nairobi, Kenya
Pratik Kad
Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
Mohammed Abdullahi Hassan
IGAD Climate Prediction and Applications Centre, Nairobi, Kenya
Tanja Portele
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Garmisch-Partenkirchen, Germany
Harald Kunstmann
Institute of Geography, University of Augsburg, Augsburg, Germany
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Garmisch-Partenkirchen, Germany
Zhengkang Zuo
College of Geological and Surveying Engineering, Taiyuan University of Technology, No. 18 Xinkuangyuan Road, Taiyuan 030024, China
Data sets
WRF-Hydro modelling at Tana basin L. Zhang and L. Li https://doi.org/10.11582/2025.9ayc1toj
Short summary
To address challenges related to unreliable hydrological simulations, we present an enhanced hydrological simulation with a refined climate model and a more comprehensive hydrological model. The model with the two parts outperforms that without, especially in migrating bias in peak flow and dry-season flow. Our findings highlight the enhanced hydrological simulation capability, with the refined climate and lake module contributing 24 % and 76 % improvement, respectively.
To address challenges related to unreliable hydrological simulations, we present an enhanced...
