Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1365-2021
© Author(s) 2021. 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-25-1365-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2021
Research article |
| 19 Mar 2021
| 19 Mar 2021
Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling
Department of Civil and Structural Engineering, University of Sheffield, Sheffield, United Kingdom
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, United States
Patrick M. Reed
School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, United States
Danielle S. Grogan
Institute for the Study of Earth, Oceans, and Space, University of New Hampshire, Durham, NH, United States
Shan Zuidema
Water Systems Analysis Group, University of New Hampshire, Durham, NH, United States
Alexander Prusevich
Water Systems Analysis Group, University of New Hampshire, Durham, NH, United States
Stanley Glidden
Water Systems Analysis Group, University of New Hampshire, Durham, NH, United States
Jonathan R. Lamontagne
Department of Civil and Environmental Engineering, Tufts University, Medford, MA, United States
Richard B. Lammers
Water Systems Analysis Group, University of New Hampshire, Durham, NH, United States
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13 citations as recorded by crossref.
- Water balance model (WBM) v.1.0.0: a scalable gridded global hydrologic model with water-tracking functionality D. Grogan et al. 10.5194/gmd-15-7287-2022
- National‐Scale Detection of Reservoir Impacts Through Hydrological Signatures S. Salwey et al. 10.1029/2022WR033893
- Benchmarking global hydrological and land surface models against GRACE in a medium-sized tropical basin S. Bolaños Chavarría et al. 10.5194/hess-26-4323-2022
- Assessment of Different Machine Learning Methods for Reservoir Outflow Forecasting A. Soria-Lopez et al. 10.3390/w15193380
- 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
- Comparison of machine learning techniques for reservoir outflow forecasting O. García-Feal et al. 10.5194/nhess-22-3859-2022
- Natural and anthropogenic controls on lake water‐level decline and evaporation‐to‐inflow ratio in the conterminous United States C. Fergus et al. 10.1002/lno.12097
- An open-source package with interactive Jupyter Notebooks to enhance the accessibility of reservoir operations simulation and optimisation A. Peñuela et al. 10.1016/j.envsoft.2021.105188
- Delineation of endorheic drainage basins in the MERIT-Plus dataset for 5 and 15 minute upscaled river networks A. Prusevich et al. 10.1038/s41597-023-02875-9
- Water storage and release policies for all large reservoirs of conterminous United States S. Turner et al. 10.1016/j.jhydrol.2021.126843
- Forecast Families: A New Method to Systematically Evaluate the Benefits of Improving the Skill of an Existing Forecast C. Rougé et al. 10.1061/JWRMD5.WRENG-5934
- Simulation of hydropower at subcontinental to global scales: a state-of-the-art review S. Turner & N. Voisin 10.1088/1748-9326/ac4e38
- Advancing reservoir operations modelling in SWAT to reduce socio-ecological tradeoffs S. Jordan et al. 10.1016/j.envsoft.2022.105527
1 citations as recorded by crossref.
Latest update: 29 Jun 2024
Short summary
Amid growing interest in using large-scale hydrological models for flood and drought monitoring and forecasting, it is important to evaluate common assumptions these models make. We investigated the representation of reservoirs as separate (non-coordinated) infrastructure. We found that not appropriately representing coordination and control processes can lead a hydrological model to simulate flood and drought events that would not occur given the coordinated emergency response in the basin.
Amid growing interest in using large-scale hydrological models for flood and drought monitoring...
