Articles | Volume 17, issue 14
https://doi.org/10.5194/gmd-17-5587-2024
© Author(s) 2024. 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-17-5587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
24 Jul 2024
Development and technical paper |
| 24 Jul 2024
| 24 Jul 2024
GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model
Pacific Northwest National Laboratory, Richland, WA 99354, USA
Thomas B. Wild
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Neal T. Graham
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Son H. Kim
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Matthew Binsted
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
A. F. M. Kamal Chowdhury
Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA
Siwa Msangi
Economic Research Service, U.S. Department of Agriculture, Washington, DC 20250, USA
Pralit L. Patel
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Chris R. Vernon
Pacific Northwest National Laboratory, Richland, WA 99354, USA
Hassan Niazi
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Hong-Yi Li
Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA
Guta W. Abeshu
Pacific Northwest National Laboratory, Richland, WA 99354, USA
Department of Civil and Environmental Engineering, University of Houston, Houston, TX 77204, USA
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Short summary
The Global Change Analysis Model (GCAM) simulates the world’s climate–land–energy–water system interactions , but its reservoir representation is limited. We developed the GLObal Reservoir Yield (GLORY) model to provide GCAM with information on the cost of supplying water based on reservoir construction costs, climate and demand conditions, and reservoir expansion potential. GLORY enhances our understanding of future reservoir capacity needs to meet human demands in a changing climate.
The Global Change Analysis Model (GCAM) simulates the world’s climate–land–energy–water system...
