Articles | Volume 24, issue 3
https://doi.org/10.5194/hess-24-1347-2020
© Author(s) 2020. 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-24-1347-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Mar 2020
Research article |
| 23 Mar 2020
| 23 Mar 2020
Dynamics of hydrological-model parameters: mechanisms, problems and solutions
Tian Lan
School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China
Kairong Lin
CORRESPONDING AUTHOR
School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China
Guangdong Engineering Technology Research Center of Water Security
Regulation and Control for Southern China, Guangzhou, 510275, China
School of Civil Engineering, Sun Yat-sen University, Guangzhou,
510275, China
Chong-Yu Xu
Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, 0316 Oslo, Norway
Xuezhi Tan
School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China
Guangdong Engineering Technology Research Center of Water Security
Regulation and Control for Southern China, Guangzhou, 510275, China
School of Civil Engineering, Sun Yat-sen University, Guangzhou,
510275, China
Xiaohong Chen
School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China
Guangdong Engineering Technology Research Center of Water Security
Regulation and Control for Southern China, Guangzhou, 510275, China
School of Civil Engineering, Sun Yat-sen University, Guangzhou,
510275, China
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Cited
27 citations as recorded by crossref.
- A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al. 10.5194/hess-24-5859-2020
- A Comparative Study of a Two-Dimensional Slope Hydrodynamic Model (TDSHM), Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN) Models for Runoff Prediction Y. Zhou et al. 10.3390/w17091380
- Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models P. Bai et al. 10.1016/j.jhydrol.2020.125779
- Effects of characteristics of calibration periods on building hydrologic models in the upper basins of South Korea J. Park et al. 10.1016/j.ejrh.2025.102636
- Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. 10.5194/hess-29-683-2025
- Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al. 10.1016/j.jhydrol.2025.133333
- Dissolved organic carbon response to hydrological drought characteristics: Based on long-term measurements of headwater streams J. Wu et al. 10.1016/j.watres.2022.118252
- Identification of time-varying parameters of a monthly Budyko function in US MOPEX catchments and its implications W. Liu et al. 10.1016/j.ejrh.2025.102348
- Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda 10.3390/w13091224
- Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining P. Singh et al. 10.1016/j.ecoinf.2024.102751
- Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations J. Salmon-Monviola et al. 10.5194/hess-29-127-2025
- A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
- Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting R. Graf et al. 10.3390/resources11020012
- Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al. 10.1061/(ASCE)HE.1943-5584.0002220
- Hydrological balance and runoff from a montane peat bog traced by water temperature K. Falatkova et al. 10.1080/02626667.2024.2320392
- Long-term hydrological budget over urban areas: approaches and challenges Y. Xu et al. 10.1016/j.jhydrol.2025.134000
- Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al. 10.1016/j.jhydrol.2023.130372
- Faster increase in evapotranspiration in permafrost-dominated basins in the warming Pan-Arctic Q. Huang et al. 10.1016/j.jhydrol.2022.128678
- Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery F. Matthews et al. 10.1016/j.catena.2025.109054
- Parameter optimization method of hydrological model based on neural ordinary differential equations Q. Xiangzhao et al. 10.18307/2025.0342
- To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization E. Acuña Espinoza et al. 10.5194/hess-28-2705-2024
- An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al. 10.3390/w16233446
- Streamflow prediction in ungauged basins: How dissimilar are drainage basins? P. Istalkar & B. Biswal 10.1016/j.jhydrol.2024.131357
- Quantifying Baseflow Changes Due to Irrigation Expansion Using SWAT+gwflow R. Navas et al. 10.3390/w17111680
- Estimation of spatiotemporally varying parameters for grid-based distributed hydrologic models X. Zhang et al. 10.1016/j.ejrh.2025.102536
- Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
- Enhancing representation of data-scarce reservoir-regulated river basins using a hybrid DL-process based approach L. Deng et al. 10.1016/j.jhydrol.2025.132895
27 citations as recorded by crossref.
- A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al. 10.5194/hess-24-5859-2020
- A Comparative Study of a Two-Dimensional Slope Hydrodynamic Model (TDSHM), Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN) Models for Runoff Prediction Y. Zhou et al. 10.3390/w17091380
- Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models P. Bai et al. 10.1016/j.jhydrol.2020.125779
- Effects of characteristics of calibration periods on building hydrologic models in the upper basins of South Korea J. Park et al. 10.1016/j.ejrh.2025.102636
- Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. 10.5194/hess-29-683-2025
- Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al. 10.1016/j.jhydrol.2025.133333
- Dissolved organic carbon response to hydrological drought characteristics: Based on long-term measurements of headwater streams J. Wu et al. 10.1016/j.watres.2022.118252
- Identification of time-varying parameters of a monthly Budyko function in US MOPEX catchments and its implications W. Liu et al. 10.1016/j.ejrh.2025.102348
- Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda 10.3390/w13091224
- Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining P. Singh et al. 10.1016/j.ecoinf.2024.102751
- Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations J. Salmon-Monviola et al. 10.5194/hess-29-127-2025
- A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
- Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting R. Graf et al. 10.3390/resources11020012
- Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al. 10.1061/(ASCE)HE.1943-5584.0002220
- Hydrological balance and runoff from a montane peat bog traced by water temperature K. Falatkova et al. 10.1080/02626667.2024.2320392
- Long-term hydrological budget over urban areas: approaches and challenges Y. Xu et al. 10.1016/j.jhydrol.2025.134000
- Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al. 10.1016/j.jhydrol.2023.130372
- Faster increase in evapotranspiration in permafrost-dominated basins in the warming Pan-Arctic Q. Huang et al. 10.1016/j.jhydrol.2022.128678
- Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery F. Matthews et al. 10.1016/j.catena.2025.109054
- Parameter optimization method of hydrological model based on neural ordinary differential equations Q. Xiangzhao et al. 10.18307/2025.0342
- To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization E. Acuña Espinoza et al. 10.5194/hess-28-2705-2024
- An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al. 10.3390/w16233446
- Streamflow prediction in ungauged basins: How dissimilar are drainage basins? P. Istalkar & B. Biswal 10.1016/j.jhydrol.2024.131357
- Quantifying Baseflow Changes Due to Irrigation Expansion Using SWAT+gwflow R. Navas et al. 10.3390/w17111680
- Estimation of spatiotemporally varying parameters for grid-based distributed hydrologic models X. Zhang et al. 10.1016/j.ejrh.2025.102536
- Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
- Enhancing representation of data-scarce reservoir-regulated river basins using a hybrid DL-process based approach L. Deng et al. 10.1016/j.jhydrol.2025.132895
Latest update: 08 Aug 2025
