Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-251-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Physically based distributed hydrological model calibration based on a short period of streamflow data: case studies in four Chinese basins
Wenchao Sun
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Yuanyuan Wang
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Guoqiang Wang
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Xingqi Cui
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Jingshan Yu
CORRESPONDING AUTHOR
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Depeng Zuo
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
Zongxue Xu
College of Water Sciences, Beijing Normal University, Xinjiekouwai
Street 19, Beijing 100875, China
Joint Center for Global Change Studies (JCGCS), Beijing 100875, China
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40 citations as recorded by crossref.
- Enhancing streamflow simulation using hybridized machine learning models in a semi-arid basin of the Chinese loess Plateau Q. Yu et al. 10.1016/j.jhydrol.2023.129115
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- Gauging ungauged catchments – Active learning for the timing of point discharge observations in combination with continuous water level measurements S. Pool & J. Seibert 10.1016/j.jhydrol.2021.126448
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- SWAT Model Performance Using Spatially Distributed Saturated Hydraulic Conductivity (Ksat) and Varying-Resolution DEMs L. Jin et al. 10.3390/w16050735
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- Evaluation of short-term streamflow prediction methods in Urban river basins X. Huang et al. 10.1016/j.pce.2021.103027
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- On the Operational Flood Forecasting Practices Using Low-Quality Data Input of a Distributed Hydrological Model B. Li et al. 10.3390/su12198268
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2 citations as recorded by crossref.
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Latest update: 23 Nov 2024
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.
The possibility of using a short period of streamflow data (less than one year) to calibrate a...
Special issue