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
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24 citations as recorded by crossref.
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- Towards a continental-scale riverine bathymetry dataset using readily-available data and simple hydraulic models M. Follum et al. 10.1016/j.jhydrol.2023.129769
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- Large-Scale Analysis of Global Gridded Precipitation and Temperature Datasets for Climate Change Impact Studies M. Tarek et al. 10.1175/JHM-D-20-0100.1
- Improving Reservoir Outflow Estimation for Ungauged Basins Using Satellite Observations and a Hydrological Model Z. Han et al. 10.1029/2020WR027590
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- 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. 10.1007/s00477-022-02366-0
- Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy W. Ouyang et al. 10.1016/j.jhydrol.2021.126455
- Development of non-data driven reservoir routing in the routing application for parallel computatIon of discharge (RAPID) model A. Tavakoly et al. 10.1016/j.envsoft.2023.105631
- Estimating Reservoir Release Using Multi-Source Satellite Datasets and Hydrological Modeling Techniques Y. Shen et al. 10.3390/rs14040815
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
- Extreme Flood Flow Routing for Panchet and Maithan Reservoirs of India Using Modified Puls Technique M. Dasgupta & S. Das 10.3390/w16050663
- Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. 10.1029/2022WR032312
- Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling A. Tavakoly et al. 10.1029/2020WR029544
24 citations as recorded by crossref.
- A comprehensive geospatial database of nearly 100 000 reservoirs in China C. Song et al. 10.5194/essd-14-4017-2022
- Regional scale hydrodynamic modeling of the river-floodplain-reservoir continuum A. Fleischmann et al. 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. 10.1016/j.jhydrol.2023.129769
- A deep learning modeling framework with uncertainty quantification for inflow-outflow predictions for cascade reservoirs V. Ngoc Tran et al. 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. 10.1175/JHM-D-20-0100.1
- Improving Reservoir Outflow Estimation for Ungauged Basins Using Satellite Observations and a Hydrological Model Z. Han et al. 10.1029/2020WR027590
- Improving the interpretability and predictive power of hydrological models: Applications for daily streamflow in managed and unmanaged catchments P. Bhasme & U. Bhatia 10.1016/j.jhydrol.2023.130421
- Flood Simulation Analysis of the Biliu River Basin Based on the MIKE Model Q. Liu et al. 10.1155/2021/8827046
- Role of reservoir regulation and groundwater feedback in a simulated ground‐soil‐vegetation continuum: A long‐term regional scale analysis J. Wei et al. 10.1002/hyp.14341
- 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. 10.1007/s11269-023-03677-9
- Implementation and sensitivity analysis of the Dam-Reservoir OPeration model (DROP v1.0) over Spain M. Sadki et al. 10.5194/gmd-16-427-2023
- Daily streamflow prediction in ungauged basins: an analysis of common regionalization methods over the African continent M. Tarek et al. 10.1080/02626667.2021.1948046
- Development of a Reservoir Flood Control Scheme for Global Flood Models R. Hanazaki et al. 10.1029/2021MS002944
- High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021 Y. Shen et al. 10.5194/essd-14-5671-2022
- Model Estimates of China's Terrestrial Water Storage Variation Due To Reservoir Operation N. Dong et al. 10.1029/2021WR031787
- Inventory of dams in Germany G. Speckhann et al. 10.5194/essd-13-731-2021
- 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. 10.1007/s00477-022-02366-0
- Continental-scale streamflow modeling of basins with reservoirs: Towards a coherent deep-learning-based strategy W. Ouyang et al. 10.1016/j.jhydrol.2021.126455
- Development of non-data driven reservoir routing in the routing application for parallel computatIon of discharge (RAPID) model A. Tavakoly et al. 10.1016/j.envsoft.2023.105631
- Estimating Reservoir Release Using Multi-Source Satellite Datasets and Hydrological Modeling Techniques Y. Shen et al. 10.3390/rs14040815
- Evaluating a reservoir parametrization in the vector-based global routing model mizuRoute (v2.0.1) for Earth system model coupling I. Vanderkelen et al. 10.5194/gmd-15-4163-2022
- Extreme Flood Flow Routing for Panchet and Maithan Reservoirs of India Using Modified Puls Technique M. Dasgupta & S. Das 10.3390/w16050663
- Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States G. Ghimire et al. 10.1029/2022WR032312
- Direct Integration of Numerous Dams and Reservoirs Outflow in Continental Scale Hydrologic Modeling A. Tavakoly et al. 10.1029/2020WR029544
Latest update: 26 Apr 2024
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....
