Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2711-2020
© 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-24-2711-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 May 2020
Research article |
| 27 May 2020
| 27 May 2020
Comparison of generalized non-data-driven lake and reservoir routing models for global-scale hydrologic forecasting of reservoir outflow at diurnal time steps
Joseph L. Gutenson
CORRESPONDING AUTHOR
Coastal and Hydraulics Laboratory, US Army Engineer Research and
Development Center, 3909 Halls Ferry Rd.,
Vicksburg, MS 39180, USA
National Water Center, National Oceanic and Atmospheric Administration, 205 Hackberry Ln, Tuscaloosa, AL 35401, USA
Ahmad A. Tavakoly
Coastal and Hydraulics Laboratory, US Army Engineer Research and
Development Center, 3909 Halls Ferry Rd.,
Vicksburg, MS 39180, USA
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
Mark D. Wahl
Coastal and Hydraulics Laboratory, US Army Engineer Research and
Development Center, 3909 Halls Ferry Rd.,
Vicksburg, MS 39180, USA
Michael L. Follum
Coastal and Hydraulics Laboratory, US Army Engineer Research and
Development Center, 3909 Halls Ferry Rd.,
Vicksburg, MS 39180, USA
Wyoming Area Office, US Bureau of Reclamation, 705 Pendell Blvd., Mills, WY 82644, USA
Viewed
Total article views: 4,572 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jul 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,313 | 1,138 | 121 | 4,572 | 128 | 161 |
- HTML: 3,313
- PDF: 1,138
- XML: 121
- Total: 4,572
- BibTeX: 128
- EndNote: 161
Total article views: 3,332 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 May 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,435 | 790 | 107 | 3,332 | 112 | 144 |
- HTML: 2,435
- PDF: 790
- XML: 107
- Total: 3,332
- BibTeX: 112
- EndNote: 144
Total article views: 1,240 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Jul 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 878 | 348 | 14 | 1,240 | 16 | 17 |
- HTML: 878
- PDF: 348
- XML: 14
- Total: 1,240
- BibTeX: 16
- EndNote: 17
Viewed (geographical distribution)
Total article views: 4,572 (including HTML, PDF, and XML)
Thereof 3,992 with geography defined
and 580 with unknown origin.
Total article views: 3,332 (including HTML, PDF, and XML)
Thereof 3,130 with geography defined
and 202 with unknown origin.
Total article views: 1,240 (including HTML, PDF, and XML)
Thereof 862 with geography defined
and 378 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
35 citations as recorded by crossref.
- The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models S. Hosseini-Moghari & P. Döll https://doi.org/10.5194/hess-29-4073-2025
- A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs V. Ngoc Tran et al. https://doi.org/10.1016/j.jhydrol.2024.130608
- Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies M. Tarek et al. https://doi.org/10.1175/JHM-D-20-0100.1
- Improving the interpretability and predictive power of hydrological models: Applications for daily streamflow in managed and unmanaged catchments P. Bhasme & U. Bhatia https://doi.org/10.1016/j.jhydrol.2023.130421
- [Retracted] Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model Q. Liu et al. https://doi.org/10.1155/2021/8827046
- Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm V. Tran et al. https://doi.org/10.1007/s11269-023-03677-9
- Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data L. Tang et al. https://doi.org/10.1007/s11269-025-04115-8
- Assessment of Surface Water Spatiotemporal Changes and Reservoir-Based Droughts in Small and Medium-Sized Reservoirs in China Z. Li et al. https://doi.org/10.3390/w17071104
- Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent M. Tarek et al. https://doi.org/10.1080/02626667.2021.1948046
- Development of a Reservoir Flood Control Scheme for Global Flood Models R. Hanazaki et al. https://doi.org/10.1029/2021MS002944
- High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021 Y. Shen et al. https://doi.org/10.5194/essd-14-5671-2022
- Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis L. Tang et al. https://doi.org/10.1016/j.jhydrol.2025.133173
- Model Estimates of China's Terrestrial Water Storage Variation Due To Reservoir Operation N. Dong et al. https://doi.org/10.1029/2021WR031787
- Inventory of dams in Germany G. Speckhann et al. https://doi.org/10.5194/essd-13-731-2021
- River network modelling and analysis of flow alterations in hydropower cascades: source attribution and lake dynamics C. Nakigudde et al. https://doi.org/10.1080/02626667.2026.2666374
- The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models Y. Kim et al. https://doi.org/10.1007/s00477-022-02366-0
- Development of non-data driven reservoir routing in the routing application for parallel computatIon of discharge (RAPID) model A. Tavakoly et al. https://doi.org/10.1016/j.envsoft.2023.105631
- Estimating Reservoir Release Using Multi-Source Satellite Datasets and Hydrological Modeling Techniques Y. Shen et al. https://doi.org/10.3390/rs14040815
- A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure J. Kupzig & M. Flörke https://doi.org/10.1016/j.envsoft.2025.106703
- Extreme Flood Flow Routing for Panchet and Maithan Reservoirs of India Using Modified Puls Technique M. Dasgupta & S. Das https://doi.org/10.3390/w16050663
- Patterns of River Flow Regulation Across the World's Climate Regions X. Chong et al. https://doi.org/10.1002/hyp.70562
- Assessing the impact of a large multi-purpose reservoir on flood control under moderate and extreme flood conditions P. Chakraborty et al. https://doi.org/10.1080/02626667.2024.2420007
- Improving Flood Streamflow Estimation of Ungauged Small Reservoir Basins Using Remote Sensing and Hydrological Modeling F. Zhou et al. https://doi.org/10.3390/rs16234399
- Adaptive assessment of reservoir scheduling to hydrometeorological comprehensive dry and wet condition evolution in a multi-reservoir region of southeastern China H. Chen et al. https://doi.org/10.1016/j.jhydrol.2024.132392
- A comprehensive geospatial database of nearly 100 000 reservoirs in China C. Song et al. https://doi.org/10.5194/essd-14-4017-2022
- Regional scale hydrodynamic modeling of the river-floodplain-reservoir continuum A. Fleischmann et al. https://doi.org/10.1016/j.jhydrol.2021.126114
- Towards a continental-scale riverine bathymetry dataset using readily-available data and simple hydraulic models M. Follum et al. https://doi.org/10.1016/j.jhydrol.2023.129769
- Altitudinal variation in impacts of snow cover, reservoirs and precipitation seasonality on monthly runoff in Tibetan Plateau catchments N. Wu et al. https://doi.org/10.5194/hess-29-5913-2025
- Improving Reservoir Outflow Estimation for Ungauged Basins Using Satellite Observations and a Hydrological Model Z. Han et al. https://doi.org/10.1029/2020WR027590
- Role of reservoir regulation and groundwater feedback in a simulated ground‐soil‐vegetation continuum: A long‐term regional scale analysis J. Wei et al. https://doi.org/10.1002/hyp.14341
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. https://doi.org/10.5194/gmd-16-427-2023
- Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy W. Ouyang et al. https://doi.org/10.1016/j.jhydrol.2021.126455
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. https://doi.org/10.5194/gmd-15-4163-2022
- Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. https://doi.org/10.1029/2022WR032312
- Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling A. Tavakoly et al. https://doi.org/10.1029/2020WR029544
35 citations as recorded by crossref.
- The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models S. Hosseini-Moghari & P. Döll https://doi.org/10.5194/hess-29-4073-2025
- A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs V. Ngoc Tran et al. https://doi.org/10.1016/j.jhydrol.2024.130608
- Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies M. Tarek et al. https://doi.org/10.1175/JHM-D-20-0100.1
- Improving the interpretability and predictive power of hydrological models: Applications for daily streamflow in managed and unmanaged catchments P. Bhasme & U. Bhatia https://doi.org/10.1016/j.jhydrol.2023.130421
- [Retracted] Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model Q. Liu et al. https://doi.org/10.1155/2021/8827046
- Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm V. Tran et al. https://doi.org/10.1007/s11269-023-03677-9
- Enhancing Reservoir Operational Modelling with Satellite Altimetry-Derived Water Level Data L. Tang et al. https://doi.org/10.1007/s11269-025-04115-8
- Assessment of Surface Water Spatiotemporal Changes and Reservoir-Based Droughts in Small and Medium-Sized Reservoirs in China Z. Li et al. https://doi.org/10.3390/w17071104
- Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent M. Tarek et al. https://doi.org/10.1080/02626667.2021.1948046
- Development of a Reservoir Flood Control Scheme for Global Flood Models R. Hanazaki et al. https://doi.org/10.1029/2021MS002944
- High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021 Y. Shen et al. https://doi.org/10.5194/essd-14-5671-2022
- Optimizing storage-based reservoir operation schemes for enhanced large-scale hydrological modeling: A comprehensive sensitivity analysis L. Tang et al. https://doi.org/10.1016/j.jhydrol.2025.133173
- Model Estimates of China's Terrestrial Water Storage Variation Due To Reservoir Operation N. Dong et al. https://doi.org/10.1029/2021WR031787
- Inventory of dams in Germany G. Speckhann et al. https://doi.org/10.5194/essd-13-731-2021
- River network modelling and analysis of flow alterations in hydropower cascades: source attribution and lake dynamics C. Nakigudde et al. https://doi.org/10.1080/02626667.2026.2666374
- The future water vulnerability assessment of the Seoul metropolitan area using a hybrid framework composed of physically-based and deep-learning-based hydrologic models Y. Kim et al. https://doi.org/10.1007/s00477-022-02366-0
- Development of non-data driven reservoir routing in the routing application for parallel computatIon of discharge (RAPID) model A. Tavakoly et al. https://doi.org/10.1016/j.envsoft.2023.105631
- Estimating Reservoir Release Using Multi-Source Satellite Datasets and Hydrological Modeling Techniques Y. Shen et al. https://doi.org/10.3390/rs14040815
- A controlled model experiment for the global hydrological model WaterGAP3: Understanding recent and new advances in the model structure J. Kupzig & M. Flörke https://doi.org/10.1016/j.envsoft.2025.106703
- Extreme Flood Flow Routing for Panchet and Maithan Reservoirs of India Using Modified Puls Technique M. Dasgupta & S. Das https://doi.org/10.3390/w16050663
- Patterns of River Flow Regulation Across the World's Climate Regions X. Chong et al. https://doi.org/10.1002/hyp.70562
- Assessing the impact of a large multi-purpose reservoir on flood control under moderate and extreme flood conditions P. Chakraborty et al. https://doi.org/10.1080/02626667.2024.2420007
- Improving Flood Streamflow Estimation of Ungauged Small Reservoir Basins Using Remote Sensing and Hydrological Modeling F. Zhou et al. https://doi.org/10.3390/rs16234399
- Adaptive assessment of reservoir scheduling to hydrometeorological comprehensive dry and wet condition evolution in a multi-reservoir region of southeastern China H. Chen et al. https://doi.org/10.1016/j.jhydrol.2024.132392
- A comprehensive geospatial database of nearly 100 000 reservoirs in China C. Song et al. https://doi.org/10.5194/essd-14-4017-2022
- Regional scale hydrodynamic modeling of the river-floodplain-reservoir continuum A. Fleischmann et al. https://doi.org/10.1016/j.jhydrol.2021.126114
- Towards a continental-scale riverine bathymetry dataset using readily-available data and simple hydraulic models M. Follum et al. https://doi.org/10.1016/j.jhydrol.2023.129769
- Altitudinal variation in impacts of snow cover, reservoirs and precipitation seasonality on monthly runoff in Tibetan Plateau catchments N. Wu et al. https://doi.org/10.5194/hess-29-5913-2025
- Improving Reservoir Outflow Estimation for Ungauged Basins Using Satellite Observations and a Hydrological Model Z. Han et al. https://doi.org/10.1029/2020WR027590
- Role of reservoir regulation and groundwater feedback in a simulated ground‐soil‐vegetation continuum: A long‐term regional scale analysis J. Wei et al. https://doi.org/10.1002/hyp.14341
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. https://doi.org/10.5194/gmd-16-427-2023
- Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy W. Ouyang et al. https://doi.org/10.1016/j.jhydrol.2021.126455
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. https://doi.org/10.5194/gmd-15-4163-2022
- Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. https://doi.org/10.1029/2022WR032312
- Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling A. Tavakoly et al. https://doi.org/10.1029/2020WR029544
Saved (final revised paper)
Latest update: 30 Jul 2026
Short summary
Global-scale hydrologic forecasts should account for attenuation through lakes and reservoirs. There is no consensus on the best approach to estimating this attenuation in large-spatial-scale hydrologic forecasts. This article investigates two existing parsimonious approaches to estimating reservoir outflows. We test each method at 60 reservoirs in the United States. We find that a method first developed in 2003 can provide a reasonable approximation of diurnal reservoir outflows.
Global-scale hydrologic forecasts should account for attenuation through lakes and reservoirs....
