Articles | Volume 29, issue 17
https://doi.org/10.5194/hess-29-4109-2025
https://doi.org/10.5194/hess-29-4109-2025
Research article
 | 
05 Sep 2025
Research article |  | 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, Lu Li, Zhongshi Zhang, Joël Arnault, Stefan Sobolowski, Xiaoling Chen, Jianzhong Lu, Anthony Musili Mwanthi, Pratik Kad, Mohammed Abdullahi Hassan, Tanja Portele, Harald Kunstmann, and Zhengkang Zuo

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Cited articles

Adjei, K. A., Ren, L., Appiah-Adjei, E. K., and Odai, S. N.: Application of satellite-derived rainfall for hydrological modelling in the data-scarce Black Volta trans-boundary basin, Hydrol. Res., 46, 777–791, https://doi.org/10.2166/nh.2014.111, 2015. 
Ajami, H., Evans, J. P., McCabe, M. F., and Stisen, S.: Technical Note: Reducing the spin-up time of integrated surface water–groundwater models, Hydrol. Earth Syst. Sci., 18, 5169–5179, https://doi.org/10.5194/hess-18-5169-2014, 2014a. 
Ajami, H., McCabe, M. F., Evans, J. P., and Stisen, S.: Assessing the impact of model spin-up on surface water-groundwater interactions using an integrated hydrologic model, Water Resour. Res., 50, 2636–2656, https://doi.org/10.1002/2013WR014258, 2014b. 
Alavoine, M. and Grenier, P.: The distinct problems of physical inconsistency and of multivariate bias involved in the statistical adjustment of climate simulations, Int. J. Climatol., 43, 1211–1233, https://doi.org/10.1002/joc.7878, 2023. 
Anyah, R. O. and Semazzi, F. H. M.: Climate variability over the Greater Horn of Africa based on NCAR AGCM ensemble, Theor. Appl. Climatol., 86, 39–62, https://doi.org/10.1007/s00704-005-0203-7, 2006. 
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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.
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