Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 14
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.
https://doi.org/10.5194/gmd-17-5587-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 14
Development and technical paper
 | 
24 Jul 2024
Development and technical paper |  | 24 Jul 2024

GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model

Mengqi Zhao, Thomas B. Wild, Neal T. Graham, Son H. Kim, Matthew Binsted, A. F. M. Kamal Chowdhury, Siwa Msangi, Pralit L. Patel, Chris R. Vernon, Hassan Niazi, Hong-Yi Li, and Guta W. Abeshu

Viewed

Total article views: 2,461 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,843 539 79 2,461 177 94 136
  • HTML: 1,843
  • PDF: 539
  • XML: 79
  • Total: 2,461
  • Supplement: 177
  • BibTeX: 94
  • EndNote: 136
Views and downloads (calculated since 06 Dec 2023)
Cumulative views and downloads (calculated since 06 Dec 2023)

Viewed (geographical distribution)

Total article views: 2,461 (including HTML, PDF, and XML) Thereof 2,461 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
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.
Read more
Share