Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-251-2017
https://doi.org/10.5194/hess-21-251-2017
Research article
 | 
11 Jan 2017
Research article |  | 11 Jan 2017

Physically based distributed hydrological model calibration based on a short period of streamflow data: case studies in four Chinese basins

Wenchao Sun, Yuanyuan Wang, Guoqiang Wang, Xingqi Cui, Jingshan Yu, Depeng Zuo, and Zongxue Xu

Related authors

How Remote-Sensing Evapotranspiration Data Improve Hydrological Model Calibration in a Typical Basin of Qinghai-Tibetan Plateau Region
Jinqiang Wang, Ling Zhou, Chi Ma, and Wenchao Sun
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-200,https://doi.org/10.5194/hess-2023-200, 2023
Preprint withdrawn
Short summary
Multi-model ensemble hydrological simulation using a BP Neural Network for the upper Yalongjiang River Basin, China
Zhanjie Li, Jingshan Yu, Xinyi Xu, Wenchao Sun, Bo Pang, and Jiajia Yue
Proc. IAHS, 379, 335–341, https://doi.org/10.5194/piahs-379-335-2018,https://doi.org/10.5194/piahs-379-335-2018, 2018
Short summary
Preface: Innovative Water Resources Management in a Changing Environment – Understanding and Balancing Interactions between Humankind and Nature
Zongxue Xu, Dingzhi Peng, Wenchao Sun, Bo Pang, Depeng Zuo, Andreas Schumann, and Yangbo Chen
Proc. IAHS, 379, 463–464, https://doi.org/10.5194/piahs-379-463-2018,https://doi.org/10.5194/piahs-379-463-2018, 2018

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Comment on “Are soils overrated in hydrology?” by Gao et al. (2023)
Ying Zhao, Mehdi Rahmati, Harry Vereecken, and Dani Or
Hydrol. Earth Syst. Sci., 28, 4059–4063, https://doi.org/10.5194/hess-28-4059-2024,https://doi.org/10.5194/hess-28-4059-2024, 2024
Short summary
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability have minor effects on the hydrological response in the Neckar River basin, Germany
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci., 28, 4011–4033, https://doi.org/10.5194/hess-28-4011-2024,https://doi.org/10.5194/hess-28-4011-2024, 2024
Short summary
Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China
Zehua Chang, Hongkai Gao, Leilei Yong, Kang Wang, Rensheng Chen, Chuntan Han, Otgonbayar Demberel, Batsuren Dorjsuren, Shugui Hou, and Zheng Duan
Hydrol. Earth Syst. Sci., 28, 3897–3917, https://doi.org/10.5194/hess-28-3897-2024,https://doi.org/10.5194/hess-28-3897-2024, 2024
Short summary
On the importance of plant phenology in the evaporative process of a semi-arid woodland: could it be why satellite-based evaporation estimates in the miombo differ?
Henry M. Zimba, Miriam Coenders-Gerrits, Kawawa E. Banda, Petra Hulsman, Nick van de Giesen, Imasiku A. Nyambe, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 28, 3633–3663, https://doi.org/10.5194/hess-28-3633-2024,https://doi.org/10.5194/hess-28-3633-2024, 2024
Short summary
Regionalization of GR4J model parameters for river flow prediction in Paraná, Brazil
Louise Akemi Kuana, Arlan Scortegagna Almeida, Emílio Graciliano Ferreira Mercuri, and Steffen Manfred Noe
Hydrol. Earth Syst. Sci., 28, 3367–3390, https://doi.org/10.5194/hess-28-3367-2024,https://doi.org/10.5194/hess-28-3367-2024, 2024
Short summary

Cited articles

Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment – Part 1: Model development, J. Am. Water. Resour. As., 34, 73–89, 1998.
Beven, K.: How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1–12, https://doi.org/10.5194/hess-5-1-2001, 2001.
Beven, K. and Binley, A.: The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, 1992.
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29, 2001.
Callahan, B., Miles, E., and Fluharty, D.: Policy implications of climate forecasts for water resources management in the Pacific Northwest, Pol. Sci., 32, 269–293, 1999.
Download
Short summary
The possibility of using a short period of streamflow data (less than one year) to calibrate a physically based distributed hydrological model is evaluated. Contrary to the common understanding of using data of several years, it is shown that only using data covering several months could calibrate the model effectively, which indicates that this approach is valuable for solving the calibration problem of such models in data-sparse basins.