Articles | Volume 27, issue 19
https://doi.org/10.5194/hess-27-3505-2023
https://doi.org/10.5194/hess-27-3505-2023
Research article
 | 
06 Oct 2023
Research article |  | 06 Oct 2023

To what extent does river routing matter in hydrological modeling?

Nicolás Cortés-Salazar, Nicolás Vásquez, Naoki Mizukami, Pablo A. Mendoza, and Ximena Vargas

Related authors

Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci., 29, 1981–2002, https://doi.org/10.5194/hess-29-1981-2025,https://doi.org/10.5194/hess-29-1981-2025, 2025
Short summary
How well do hydrological models simulate streamflow extremes and drought-to-flood transitions?
Eduardo Muñoz-Castro, Bailey J. Anderson, Paul C. Astagneau, Daniel L. Swain, Pablo A. Mendoza, and Manuela I. Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2025-781,https://doi.org/10.5194/egusphere-2025-781, 2025
Short summary
Calibrating a large-domain land/hydrology process model in the age of AI: the SUMMA CAMELS experiments
Mozhgan A. Farahani, Andrew W. Wood, Guoqiang Tang, and Naoki Mizukami
EGUsphere, https://doi.org/10.5194/egusphere-2025-38,https://doi.org/10.5194/egusphere-2025-38, 2025
Short summary
Towards robust seasonal streamflow forecasts in mountainous catchments: impact of calibration metric selection in hydrological modeling
Diego Araya, Pablo A. Mendoza, Eduardo Muñoz-Castro, and James McPhee
Hydrol. Earth Syst. Sci., 27, 4385–4408, https://doi.org/10.5194/hess-27-4385-2023,https://doi.org/10.5194/hess-27-4385-2023, 2023
Short summary
CREST-VEC: a framework towards more accurate and realistic flood simulation across scales
Zhi Li, Shang Gao, Mengye Chen, Jonathan Gourley, Naoki Mizukami, and Yang Hong
Geosci. Model Dev., 15, 6181–6196, https://doi.org/10.5194/gmd-15-6181-2022,https://doi.org/10.5194/gmd-15-6181-2022, 2022
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Technical note: How many models do we need to simulate hydrologic processes across large geographical domains?
Wouter J. M. Knoben, Ashwin Raman, Gaby J. Gründemann, Mukesh Kumar, Alain Pietroniro, Chaopeng Shen, Yalan Song, Cyril Thébault, Katie van Werkhoven, Andrew W. Wood, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 29, 2361–2375, https://doi.org/10.5194/hess-29-2361-2025,https://doi.org/10.5194/hess-29-2361-2025, 2025
Short summary
CONCN: a high-resolution, integrated surface water–groundwater ParFlow modeling platform of continental China
Chen Yang, Zitong Jia, Wenjie Xu, Zhongwang Wei, Xiaolang Zhang, Yiguang Zou, Jeffrey McDonnell, Laura Condon, Yongjiu Dai, and Reed Maxwell
Hydrol. Earth Syst. Sci., 29, 2201–2218, https://doi.org/10.5194/hess-29-2201-2025,https://doi.org/10.5194/hess-29-2201-2025, 2025
Short summary
Evaluating the effects of topography and land use change on hydrological signatures: a comparative study of two adjacent watersheds
Haifan Liu, Haochen Yan, and Mingfu Guan
Hydrol. Earth Syst. Sci., 29, 2109–2132, https://doi.org/10.5194/hess-29-2109-2025,https://doi.org/10.5194/hess-29-2109-2025, 2025
Short summary
Technical note: What does the Standardized Streamflow Index actually reflect? Insights and implications for hydrological drought analysis
Fabián Lema, Pablo A. Mendoza, Nicolás A. Vásquez, Naoki Mizukami, Mauricio Zambrano-Bigiarini, and Ximena Vargas
Hydrol. Earth Syst. Sci., 29, 1981–2002, https://doi.org/10.5194/hess-29-1981-2025,https://doi.org/10.5194/hess-29-1981-2025, 2025
Short summary
Long short-term memory networks for enhancing real-time flood forecasts: a case study for an underperforming hydrologic model
Sebastian Gegenleithner, Manuel Pirker, Clemens Dorfmann, Roman Kern, and Josef Schneider
Hydrol. Earth Syst. Sci., 29, 1939–1962, https://doi.org/10.5194/hess-29-1939-2025,https://doi.org/10.5194/hess-29-1939-2025, 2025
Short summary

Cited articles

Ajami, N. K., Duan, Q., and Sorooshian, S.: An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, https://doi.org/10.1029/2005WR004745, 2007. 
Allen, G. H., David, C. H., Andreadis, K. M., Hossain, F., and Famiglietti, J. S.: Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data, Geophys. Res. Lett., 45, 7551–7560, https://doi.org/10.1029/2018GL077914, 2018. 
Andreadis, K. M., Storck, P., and Lettenmaier, D. P.: Modeling snow accumulation and ablation processes in forested environments, Water Resour. Res., 45, W05429, https://doi.org/10.1029/2008WR007042, 2009. 
Andréassian, V., Bourgin, F., Oudin, L., Mathevet, T., Perrin, C., Lerat, J., Coron, L., and Berthet, L.: Seeking genericity in the selection of parameter sets: Impact on hydrological model efficiency, Water Resour. Res., 50, 8356–8366, https://doi.org/10.1002/2013WR014761, 2014. 
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment part I: model development, J. Am. Water Resour. As., 34, 73–89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998. 
Download
Short summary
This paper shows how important river models can be for water resource applications that involve hydrological models and, in particular, parameter calibration. To this end, we conduct numerical experiments in a pilot basin using a combination of hydrologic model simulations obtained from a large sample of parameter sets and different routing methods. We find that routing can affect streamflow simulations, even at monthly time steps; the choice of parameters; and relevant streamflow metrics.
Share