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.
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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- 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
- 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
- Extreme Flood Flow Routing for Panchet and Maithan Reservoirs of India Using Modified Puls Technique M. Dasgupta & S. Das 10.3390/w16050663
- Assessing the impact of a large multi-purpose reservoir on flood control under moderate and extreme flood conditions P. Chakraborty et al. 10.1080/02626667.2024.2420007
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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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- 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
- 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
- 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: 21 Nov 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....