Articles | Volume 11, issue 3
https://doi.org/10.5194/gmd-11-1077-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-11-1077-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A hydrological emulator for global applications – HE v1.0.0
Yaling Liu
CORRESPONDING AUTHOR
Joint Global Change Research Institute, Pacific Northwest National Laboratory,
5825 University Research Court, College Park, MD 20740, USA
Department of Earth and Environmental Engineering, Columbia University, New York, NY 10027, USA
Mohamad Hejazi
Joint Global Change Research Institute, Pacific Northwest National Laboratory,
5825 University Research Court, College Park, MD 20740, USA
Hongyi Li
Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT 59717, USA
Xuesong Zhang
Joint Global Change Research Institute, Pacific Northwest National Laboratory,
5825 University Research Court, College Park, MD 20740, USA
Guoyong Leng
Joint Global Change Research Institute, Pacific Northwest National Laboratory,
5825 University Research Court, College Park, MD 20740, USA
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Cited
23 citations as recorded by crossref.
- Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al. 10.1088/1748-9326/ad52af
- A Global Hydrologic Framework to Accelerate Scientific Discovery C. Vernon et al. 10.5334/jors.245
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- Diverse carbon dioxide removal approaches could reduce impacts on the energy–water–land system J. Fuhrman et al. 10.1038/s41558-023-01604-9
- Global peak water limit of future groundwater withdrawals H. Niazi et al. 10.1038/s41893-024-01306-w
- Larger Drought and Flood Hazards and Adverse Impacts on Population and Economic Productivity Under 2.0 than 1.5°C Warming R. Zhai et al. 10.1029/2019EF001398
- Future changes in the trading of virtual water N. Graham et al. 10.1038/s41467-020-17400-4
- Enhancing the representation of water management in global hydrological models G. Abeshu et al. 10.5194/gmd-16-5449-2023
- GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model M. Zhao et al. 10.5194/gmd-17-5587-2024
- A fast physically-guided emulator of MATSIRO land surface model R. Olson et al. 10.1016/j.jhydrol.2024.131093
- A constraint on historic growth in global photosynthesis due to rising CO2 T. Keenan et al. 10.1038/s41558-023-01867-2
- Humans drive future water scarcity changes across all Shared Socioeconomic Pathways N. Graham et al. 10.1088/1748-9326/ab639b
- Estimation of reference evapotranspiration using machine learning models with limited data A. Ayaz et al. 10.3934/geosci.2021016
- Projecting China’s future water footprints and water scarcity under socioeconomic and climate change pathways using an integrated simulation approach Y. Sun et al. 10.1016/j.cliser.2023.100385
- Exploring the food-energy-water nexus in coupled natural-human systems under climate change with a fully integrated agent-based modeling framework J. Zhang et al. 10.1016/j.jhydrol.2024.131048
- Trade and Climate Mitigation Interactions Create Agro‐Economic Opportunities With Social and Environmental Trade‐Offs in Latin America and the Caribbean B. Yarlagadda et al. 10.1029/2022EF003063
- A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution J. Buitink et al. 10.5194/gmd-13-6093-2020
- Global agricultural green and blue water consumption under future climate and land use changes Z. Huang et al. 10.1016/j.jhydrol.2019.04.046
- Agricultural market integration preserves future global water resources N. Graham et al. 10.1016/j.oneear.2023.08.003
- Integrated energy-water-land nexus planning to guide national policy: an example from Uruguay Z. Khan et al. 10.1088/1748-9326/ab9389
- The Implications of Global Change for the Co‐Evolution of Argentina's Integrated Energy‐Water‐Land Systems T. Wild et al. 10.1029/2020EF001970
- Influence of Groundwater Extraction Costs and Resource Depletion Limits on Simulated Global Nonrenewable Water Withdrawals Over the Twenty‐First Century S. Turner et al. 10.1029/2018EF001105
- Integrated energy-water-land nexus planning in the Colorado River Basin (Argentina) T. Wild et al. 10.1007/s10113-021-01775-1
21 citations as recorded by crossref.
- Characterizing the multisectoral impacts of future global hydrologic variability A. Birnbaum et al. 10.1088/1748-9326/ad52af
- A Global Hydrologic Framework to Accelerate Scientific Discovery C. Vernon et al. 10.5334/jors.245
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- Diverse carbon dioxide removal approaches could reduce impacts on the energy–water–land system J. Fuhrman et al. 10.1038/s41558-023-01604-9
- Global peak water limit of future groundwater withdrawals H. Niazi et al. 10.1038/s41893-024-01306-w
- Larger Drought and Flood Hazards and Adverse Impacts on Population and Economic Productivity Under 2.0 than 1.5°C Warming R. Zhai et al. 10.1029/2019EF001398
- Future changes in the trading of virtual water N. Graham et al. 10.1038/s41467-020-17400-4
- Enhancing the representation of water management in global hydrological models G. Abeshu et al. 10.5194/gmd-16-5449-2023
- GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model M. Zhao et al. 10.5194/gmd-17-5587-2024
- A fast physically-guided emulator of MATSIRO land surface model R. Olson et al. 10.1016/j.jhydrol.2024.131093
- A constraint on historic growth in global photosynthesis due to rising CO2 T. Keenan et al. 10.1038/s41558-023-01867-2
- Humans drive future water scarcity changes across all Shared Socioeconomic Pathways N. Graham et al. 10.1088/1748-9326/ab639b
- Estimation of reference evapotranspiration using machine learning models with limited data A. Ayaz et al. 10.3934/geosci.2021016
- Projecting China’s future water footprints and water scarcity under socioeconomic and climate change pathways using an integrated simulation approach Y. Sun et al. 10.1016/j.cliser.2023.100385
- Exploring the food-energy-water nexus in coupled natural-human systems under climate change with a fully integrated agent-based modeling framework J. Zhang et al. 10.1016/j.jhydrol.2024.131048
- Trade and Climate Mitigation Interactions Create Agro‐Economic Opportunities With Social and Environmental Trade‐Offs in Latin America and the Caribbean B. Yarlagadda et al. 10.1029/2022EF003063
- A distributed simple dynamical systems approach (dS2 v1.0) for computationally efficient hydrological modelling at high spatio-temporal resolution J. Buitink et al. 10.5194/gmd-13-6093-2020
- Global agricultural green and blue water consumption under future climate and land use changes Z. Huang et al. 10.1016/j.jhydrol.2019.04.046
- Agricultural market integration preserves future global water resources N. Graham et al. 10.1016/j.oneear.2023.08.003
- Integrated energy-water-land nexus planning to guide national policy: an example from Uruguay Z. Khan et al. 10.1088/1748-9326/ab9389
- The Implications of Global Change for the Co‐Evolution of Argentina's Integrated Energy‐Water‐Land Systems T. Wild et al. 10.1029/2020EF001970
2 citations as recorded by crossref.
- Influence of Groundwater Extraction Costs and Resource Depletion Limits on Simulated Global Nonrenewable Water Withdrawals Over the Twenty‐First Century S. Turner et al. 10.1029/2018EF001105
- Integrated energy-water-land nexus planning in the Colorado River Basin (Argentina) T. Wild et al. 10.1007/s10113-021-01775-1
Latest update: 02 Nov 2024
Short summary
This hydrologic emulator provides researchers with an easy way to investigate the variations in water budgets at any spatial scale of interest, with minimum requirements of effort, reasonable model predictability, and appealing computational efficiency. We expect it to have a profound influence on scientific endeavors in hydrological modeling and to excite the immediate interest of researchers working on climate impact assessments, uncertainty/sensitivity analysis, and integrated assessment.
This hydrologic emulator provides researchers with an easy way to investigate the variations in...