Articles | Volume 20, issue 12
https://doi.org/10.5194/hess-20-4949-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-4949-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
16 Dec 2016
Research article |
| 16 Dec 2016
Identification of hydrological model parameter variation using ensemble Kalman filter
Chao Deng
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan, China
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan, China
Shenglian Guo
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan, China
Zejun Li
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Hubei Provincial Collaborative Innovation Center for Water Resources Security, Wuhan, China
Dingbao Wang
Department of Civil, Environmental & Construction Engineering, University of Central Florida, Orlando, FL, USA
Viewed
Total article views: 3,092 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Aug 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,612 | 1,353 | 127 | 3,092 | 117 | 130 |
- HTML: 1,612
- PDF: 1,353
- XML: 127
- Total: 3,092
- BibTeX: 117
- EndNote: 130
Total article views: 2,594 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Dec 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,304 | 1,186 | 104 | 2,594 | 96 | 104 |
- HTML: 1,304
- PDF: 1,186
- XML: 104
- Total: 2,594
- BibTeX: 96
- EndNote: 104
Total article views: 498 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Aug 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 308 | 167 | 23 | 498 | 21 | 26 |
- HTML: 308
- PDF: 167
- XML: 23
- Total: 498
- BibTeX: 21
- EndNote: 26
Viewed (geographical distribution)
Total article views: 3,092 (including HTML, PDF, and XML)
Thereof 2,988 with geography defined
and 104 with unknown origin.
Total article views: 2,594 (including HTML, PDF, and XML)
Thereof 2,486 with geography defined
and 108 with unknown origin.
Total article views: 498 (including HTML, PDF, and XML)
Thereof 498 with geography defined
and 0 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
34 citations as recorded by crossref.
- A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
- Development of the consider cubature Kalman filter for state estimation of hydrological models with parameter uncertainty Y. Sun et al. 10.1016/j.jhydrol.2023.130080
- Sizing utility-scale photovoltaic power generation for integration into a hydropower plant considering the effects of climate change: A case study in the Longyangxia of China Z. Yang et al. 10.1016/j.energy.2021.121519
- Temporal variation scale of the catchment water storage capacity of 91 MOPEX catchments J. Tian et al. 10.1016/j.ejrh.2022.101236
- Identification of Time-Varying Conceptual Hydrological Model Parameters with Differentiable Parameter Learning X. Lian et al. 10.3390/w16060896
- Comparison of ensemble data assimilation methods for the estimation of time-varying soil hydraulic parameters K. Liu et al. 10.1016/j.jhydrol.2020.125729
- Deriving adaptive long-term complementary operating rules for a large-scale hydro-photovoltaic hybrid power plant using ensemble Kalman filter H. Li et al. 10.1016/j.apenergy.2021.117482
- Runoff Predicting and Variation Analysis in Upper Ganjiang Basin under Projected Climate Changes C. Deng & W. Wang 10.3390/su11215885
- Improving efficiencies of flood forecasting during lead times: an operational method and its application in the Baiyunshan Reservoir P. Liu et al. 10.2166/nh.2018.051
- Real-time reservoir flood control operation enhanced by data assimilation J. Zhang et al. 10.1016/j.jhydrol.2021.126426
- Heterogeneous hydraulic conductivity and porosity fields reconstruction through steady-state flow and transient solute transport data using the continuous adjoint state F. Delay et al. 10.1016/j.advwatres.2019.03.014
- Diagnosing structural deficiencies of a hydrological model by time-varying parameters L. Zhou et al. 10.1016/j.jhydrol.2021.127305
- Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. 10.1016/j.heliyon.2023.e19639
- Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al. 10.1016/j.jhydrol.2022.128843
- 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
- Effects of land use/land cover change on hydrological responses of a watershed in the Central Rift Valley of Ethiopia K. Besha et al. 10.2166/nh.2024.042
- Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework Z. Pan et al. 10.5194/hess-23-3405-2019
- The influence of a prolonged meteorological drought on catchment water storage capacity: a hydrological-model perspective Z. Pan et al. 10.5194/hess-24-4369-2020
- Evaluating the Effect of Transpiration in Hydrologic Model Simulation through Parameter Calibration Z. Li et al. 10.1061/(ASCE)HE.1943-5584.0001895
- Envelope curves for the specific discharge of extreme floods in Malaysia J. Abdullah et al. 10.1016/j.jher.2019.05.002
- Identifying Functional Form of Time-Varying Hydrological Model Parameters under Changing Environment 梦. 熊 10.12677/JWRR.2018.74039
- Response of active catchment water storage capacity to a prolonged meteorological drought and asymptotic climate variation J. Tian et al. 10.5194/hess-26-4853-2022
- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
- Time-varying characteristics of saturated hydraulic conductivity in grassed swales based on the ensemble Kalman filter algorithm —A case study of two long-running swales in Netherlands F. Yang et al. 10.1016/j.jenvman.2023.119760
- Online state and time‐varying parameter estimation using the implicit equal‐weights particle filter M. Satoh et al. 10.1002/qj.4698
- Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. 10.5194/hess-24-2207-2020
- Modelling time-variant parameters of a two-parameter monthly water balance model C. Deng et al. 10.1016/j.jhydrol.2019.04.027
- Variability of spatial patterns of autocorrelation and heterogeneity embedded in precipitation D. Liu et al. 10.2166/nh.2018.054
- Improving Efficiency of Hydrological Prediction Based on Meteorological Classification: A Case Study of GR4J Model X. Wei et al. 10.3390/w13182546
- Temporal variation and scaling of parameters for a monthly hydrologic model C. Deng et al. 10.1016/j.jhydrol.2018.01.049
- Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration M. Xiong et al. 10.1016/j.jhydrol.2018.11.038
- Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. 10.5194/hess-24-1347-2020
- Deriving adaptive operating rules of hydropower reservoirs using time‐varying parameters generated by the EnKF M. Feng et al. 10.1002/2016WR020180
- Comparison of First-Order and Second-Order Derived Moment Approaches in Estimating Annual Runoff Distribution Y. Kuang et al. 10.1061/(ASCE)HE.1943-5584.0001683
32 citations as recorded by crossref.
- A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
- Development of the consider cubature Kalman filter for state estimation of hydrological models with parameter uncertainty Y. Sun et al. 10.1016/j.jhydrol.2023.130080
- Sizing utility-scale photovoltaic power generation for integration into a hydropower plant considering the effects of climate change: A case study in the Longyangxia of China Z. Yang et al. 10.1016/j.energy.2021.121519
- Temporal variation scale of the catchment water storage capacity of 91 MOPEX catchments J. Tian et al. 10.1016/j.ejrh.2022.101236
- Identification of Time-Varying Conceptual Hydrological Model Parameters with Differentiable Parameter Learning X. Lian et al. 10.3390/w16060896
- Comparison of ensemble data assimilation methods for the estimation of time-varying soil hydraulic parameters K. Liu et al. 10.1016/j.jhydrol.2020.125729
- Deriving adaptive long-term complementary operating rules for a large-scale hydro-photovoltaic hybrid power plant using ensemble Kalman filter H. Li et al. 10.1016/j.apenergy.2021.117482
- Runoff Predicting and Variation Analysis in Upper Ganjiang Basin under Projected Climate Changes C. Deng & W. Wang 10.3390/su11215885
- Improving efficiencies of flood forecasting during lead times: an operational method and its application in the Baiyunshan Reservoir P. Liu et al. 10.2166/nh.2018.051
- Real-time reservoir flood control operation enhanced by data assimilation J. Zhang et al. 10.1016/j.jhydrol.2021.126426
- Heterogeneous hydraulic conductivity and porosity fields reconstruction through steady-state flow and transient solute transport data using the continuous adjoint state F. Delay et al. 10.1016/j.advwatres.2019.03.014
- Diagnosing structural deficiencies of a hydrological model by time-varying parameters L. Zhou et al. 10.1016/j.jhydrol.2021.127305
- Evaluating the effect of climate change on rice production in Indonesia using multimodelling approach A. Ansari et al. 10.1016/j.heliyon.2023.e19639
- Improving structure identifiability of hydrological processes by temporal sensitivity with a flexible modeling framework L. Zhou et al. 10.1016/j.jhydrol.2022.128843
- 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
- Effects of land use/land cover change on hydrological responses of a watershed in the Central Rift Valley of Ethiopia K. Besha et al. 10.2166/nh.2024.042
- Improving hydrological projection performance under contrasting climatic conditions using spatial coherence through a hierarchical Bayesian regression framework Z. Pan et al. 10.5194/hess-23-3405-2019
- The influence of a prolonged meteorological drought on catchment water storage capacity: a hydrological-model perspective Z. Pan et al. 10.5194/hess-24-4369-2020
- Evaluating the Effect of Transpiration in Hydrologic Model Simulation through Parameter Calibration Z. Li et al. 10.1061/(ASCE)HE.1943-5584.0001895
- Envelope curves for the specific discharge of extreme floods in Malaysia J. Abdullah et al. 10.1016/j.jher.2019.05.002
- Identifying Functional Form of Time-Varying Hydrological Model Parameters under Changing Environment 梦. 熊 10.12677/JWRR.2018.74039
- Response of active catchment water storage capacity to a prolonged meteorological drought and asymptotic climate variation J. Tian et al. 10.5194/hess-26-4853-2022
- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
- Time-varying characteristics of saturated hydraulic conductivity in grassed swales based on the ensemble Kalman filter algorithm —A case study of two long-running swales in Netherlands F. Yang et al. 10.1016/j.jenvman.2023.119760
- Online state and time‐varying parameter estimation using the implicit equal‐weights particle filter M. Satoh et al. 10.1002/qj.4698
- Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. 10.5194/hess-24-2207-2020
- Modelling time-variant parameters of a two-parameter monthly water balance model C. Deng et al. 10.1016/j.jhydrol.2019.04.027
- Variability of spatial patterns of autocorrelation and heterogeneity embedded in precipitation D. Liu et al. 10.2166/nh.2018.054
- Improving Efficiency of Hydrological Prediction Based on Meteorological Classification: A Case Study of GR4J Model X. Wei et al. 10.3390/w13182546
- Temporal variation and scaling of parameters for a monthly hydrologic model C. Deng et al. 10.1016/j.jhydrol.2018.01.049
- Identifying time-varying hydrological model parameters to improve simulation efficiency by the ensemble Kalman filter: A joint assimilation of streamflow and actual evapotranspiration M. Xiong et al. 10.1016/j.jhydrol.2018.11.038
- Dynamics of hydrological-model parameters: mechanisms, problems and solutions T. Lan et al. 10.5194/hess-24-1347-2020
2 citations as recorded by crossref.
- Deriving adaptive operating rules of hydropower reservoirs using time‐varying parameters generated by the EnKF M. Feng et al. 10.1002/2016WR020180
- Comparison of First-Order and Second-Order Derived Moment Approaches in Estimating Annual Runoff Distribution Y. Kuang et al. 10.1061/(ASCE)HE.1943-5584.0001683
Latest update: 02 Apr 2025
Short summary
Hydrological model parameters may vary in time under nonstationary conditions, i.e., climate change and anthropogenic activities. The technique of the ensemble Kalman filter (EnKF) is proposed to identify the temporal variation of parameters for a two-parameter monthly water balance model. Through a synthesis experiment and two case studies, the EnKF is demonstrated to be useful for the identification of parameter variations.
Hydrological model parameters may vary in time under nonstationary conditions, i.e., climate...
