Articles | Volume 16, issue 18
https://doi.org/10.5194/gmd-16-5449-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-5449-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Enhancing the representation of water management in global hydrological models
Guta Wakbulcho Abeshu
Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA
Fuqiang Tian
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
Thomas Wild
Joint Global Change Research Institute, Pacific Northwest National
Laboratory, College Park, MD 20740, USA
Mengqi Zhao
Pacific Northwest National Laboratory, Richland, WA 99354, USA
Sean Turner
Joint Global Change Research Institute, Pacific Northwest National
Laboratory, College Park, MD 20740, USA
A. F. M. Kamal Chowdhury
Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20740, USA
Chris R. Vernon
Pacific Northwest National Laboratory, Richland, WA 99354, USA
Hongchang Hu
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
Yuan Zhuang
Department of Hydraulic Engineering, Tsinghua University, Beijing
100084, China
Mohamad Hejazi
Joint Global Change Research Institute, Pacific Northwest National
Laboratory, College Park, MD 20740, USA
now at: King Abdullah Petroleum Studies and Research Center
(KAPSARC), Riyadh, Saudi Arabia
Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA
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Cited
16 citations as recorded by crossref.
- Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al.
- GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model M. Zhao et al.
- Developing water supply reservoir operating rules for large-scale hydrological modelling S. Salwey et al.
- Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al.
- A runoff prediction method for arid regions integrating physics-guided signal extraction and temporally adaptive feature selection Z. Li et al.
- Wastewater matters: incorporating wastewater treatment and reuse into a process-based hydrological model (CWatM v1.08) D. Fridman et al.
- Modeling hydropower operations at the scale of a power grid: a demand-based approach L. Baratgin et al.
- Hybrid modeling for daily streamflow forecasting: A study over the contiguous United States F. Zeng et al.
- Climate change dominates recent increase in streamflow in the Yellow River Basin Z. Huang et al.
- Extended Hydrofabric: A standardized geospatial database for reproducible water management modeling in the United States E. Ebrahimi et al.
- Assessing the complex influences of water management on hydrological drought characteristics in Texas L. Yao et al.
- Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al.
- Integrating Inverse Reinforcement Learning and Direct Policy Search for Modeling Multipurpose Water Reservoir Systems M. Giuliani & A. Castelletti
- Long-term hydro-economic analysis tool for evaluating global groundwater cost and supply: Superwell v1.1 H. Niazi et al.
- More record events in streamflow over Pakistan revealed by observation-constrained projections H. Raza et al.
- An overview of statistical analysis and modeling of characteristics and impacts of major mechanisms of atmospheric moisture transport over India N. Natarajan et al.
16 citations as recorded by crossref.
- Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al.
- GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model M. Zhao et al.
- Developing water supply reservoir operating rules for large-scale hydrological modelling S. Salwey et al.
- Hyper-resolution large-scale hydrological modelling benefits from improved process representation in mountain regions J. Janzing et al.
- A runoff prediction method for arid regions integrating physics-guided signal extraction and temporally adaptive feature selection Z. Li et al.
- Wastewater matters: incorporating wastewater treatment and reuse into a process-based hydrological model (CWatM v1.08) D. Fridman et al.
- Modeling hydropower operations at the scale of a power grid: a demand-based approach L. Baratgin et al.
- Hybrid modeling for daily streamflow forecasting: A study over the contiguous United States F. Zeng et al.
- Climate change dominates recent increase in streamflow in the Yellow River Basin Z. Huang et al.
- Extended Hydrofabric: A standardized geospatial database for reproducible water management modeling in the United States E. Ebrahimi et al.
- Assessing the complex influences of water management on hydrological drought characteristics in Texas L. Yao et al.
- Assessing and optimizing high-resolution global river streamflow estimates with triple collocation analysis M. Sun et al.
- Integrating Inverse Reinforcement Learning and Direct Policy Search for Modeling Multipurpose Water Reservoir Systems M. Giuliani & A. Castelletti
- Long-term hydro-economic analysis tool for evaluating global groundwater cost and supply: Superwell v1.1 H. Niazi et al.
- More record events in streamflow over Pakistan revealed by observation-constrained projections H. Raza et al.
- An overview of statistical analysis and modeling of characteristics and impacts of major mechanisms of atmospheric moisture transport over India N. Natarajan et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
Most existing global hydrologic models do not explicitly represent hydropower reservoirs. We are introducing a new water management module to Xanthos that distinguishes between the operational characteristics of irrigation, hydropower, and flood control reservoirs. We show that this explicit representation of hydropower reservoirs can lead to a significantly more realistic simulation of reservoir storage and releases in over 44 % of the hydropower reservoirs included in this study.
Most existing global hydrologic models do not explicitly represent hydropower reservoirs. We are...