Articles | Volume 30, issue 8
https://doi.org/10.5194/hess-30-2493-2026
https://doi.org/10.5194/hess-30-2493-2026
Research article
 | 
29 Apr 2026
Research article |  | 29 Apr 2026

What can hydrological modelling gain from spatially explicit parameterization and multi-gauge calibration?

Xudong Zheng, Dengfeng Liu, Hao Wang, Chuanhui Ma, Hui Liu, Guanghui Ming, Qiang Li, Mohd Yawar Ali Khan, and Fiaz Hussain

Related authors

Remapping carbon storage change in retired farmlands on the Loess Plateau in China from 2000–2021 in high spatiotemporal resolution
Bingqian Guo, Mingjie Fang, Leilei Yang, Tao Guo, Chuang Ma, Xiangyun Hu, Zhaoxiang Guo, Zemeng Ma, Qiang Li, Zhaoli Wang, and Weiguo Liu
Earth Syst. Sci. Data, 18, 429–441, https://doi.org/10.5194/essd-18-429-2026,https://doi.org/10.5194/essd-18-429-2026, 2026
Short summary
Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study
Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng
Hydrol. Earth Syst. Sci., 29, 627–653, https://doi.org/10.5194/hess-29-627-2025,https://doi.org/10.5194/hess-29-627-2025, 2025
Short summary
Application of an improved distributed hydrological model based on the soil–gravel structure in the Niyang River basin, Qinghai–Tibet Plateau
Pengxiang Wang, Zuhao Zhou, Jiajia Liu, Chongyu Xu, Kang Wang, Yangli Liu, Jia Li, Yuqing Li, Yangwen Jia, and Hao Wang
Hydrol. Earth Syst. Sci., 27, 2681–2701, https://doi.org/10.5194/hess-27-2681-2023,https://doi.org/10.5194/hess-27-2681-2023, 2023
Short summary
Description and application of a distributed hydrological model based on soil–gravel structure in the Qinghai–Tibet Plateau
Pengxiang Wang, Zuhao Zhou, Jiajia Liu, Chongyu Xu, Kang Wang, Yangli Liu, Jia Li, Yuqing Li, Yangwen Jia, and Hao Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-538,https://doi.org/10.5194/hess-2021-538, 2021
Manuscript not accepted for further review
Short summary

Cited articles

Aerts, J. P. M., Hut, R. W., van de Giesen, N. C., Drost, N., van Verseveld, W. J., Weerts, A. H., and Hazenberg, P.: Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model, Hydrol. Earth Syst. Sci., 26, 4407–4430, https://doi.org/10.5194/hess-26-4407-2022, 2022. 
Aerts, J. P. M., Hoch, J. M., Coxon, G., van de Giesen, N. C., and Hut, R. W.: On the importance of discharge observation uncertainty when interpreting hydrological model performance, Hydrol. Earth Syst. Sci., 28, 5011–5030, https://doi.org/10.5194/hess-28-5011-2024, 2024. 
Ali, A. M., Imhoff, R., and Weerts, A.: Machine Learning for Predicting Spatially Variable Lateral Hydraulic Conductivity: A Step Toward Efficient Hydrological Model Calibration and Global Applicability, Water Resour. Res., 61, https://doi.org/10.1029/2025WR040108, 2025. 
Argentin, A.-L., Horton, P., Schaefli, B., Shokory, J., Pitscheider, F., Repnik, L., Gianini, M., Bizzi, S., Lane, S. N., and Comiti, F.: Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland, Hydrol. Earth Syst. Sci., 29, 1725–1748, https://doi.org/10.5194/hess-29-1725-2025, 2025. 
Balsamo, G., Viterbo, P., Beljaars, A., Hurk, B., Hirschi, M., Betts, A., and Scipal, K.: A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System, J. Hydrometeorol., 10, 623, https://doi.org/10.1175/2008JHM1068.1, 2009. 
Download
Short summary
This study presents an experimental framework (EF-SPM) to disentangle and evaluate the benefits of spatially explicit parameterization and multi-gauge calibration in distributed hydrological modelling. Experiments in a nested catchment show that both strategies consistently improve streamflow simulations across sub-basins, jointly alleviating multi-objective competition and the trade-off between spatial complexity and parameter identifiability.
Share