Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-2897-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-2897-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Jul 2019
Research article |
| 12 Jul 2019
| 12 Jul 2019
On the uncertainty of initial condition and initialization approaches in variably saturated flow modeling
Danyang Yu
State Key Laboratory of Water Resources and Hydropower Engineering
Sciences, Wuhan University, Wuhan, Hubei 430072, China
Jinzhong Yang
State Key Laboratory of Water Resources and Hydropower Engineering
Sciences, Wuhan University, Wuhan, Hubei 430072, China
Liangsheng Shi
State Key Laboratory of Water Resources and Hydropower Engineering
Sciences, Wuhan University, Wuhan, Hubei 430072, China
Qiuru Zhang
State Key Laboratory of Water Resources and Hydropower Engineering
Sciences, Wuhan University, Wuhan, Hubei 430072, China
Kai Huang
Guangxi Hydraulic Research Institute, Nanning, Guangxi 530023, China
Yuanhao Fang
School of Earth Sciences and Engineering, Hohai University, Nanjing, Jiangsu 210098, China
Yuanyuan Zha
CORRESPONDING AUTHOR
State Key Laboratory of Water Resources and Hydropower Engineering
Sciences, Wuhan University, Wuhan, Hubei 430072, China
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- Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia S. Rusli et al. https://doi.org/10.1016/j.gsd.2023.100953
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- Evaluation of parameterisation approaches for estimating soil hydraulic parameters with HYDRUS-1D in the groundnut basin of Senegal D. Diongue et al. https://doi.org/10.1080/02626667.2022.2142474
- Enhancing hydrological modelling with reanalysis soil moisture: A data-driven approach for optimizing initial conditions through reanalysis integration L. Liu et al. https://doi.org/10.1016/j.advwatres.2025.105023
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