Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures
Abstract
Water usage is closely linked with societal goals that are both local and global in scale, such as sustainable development and economic growth. It is therefore of value, particularly for long-term planning, to understand how future sectoral water usage could evolve on a global scale at fine resolution. Additionally, future water usage could be strongly shaped by global forces, such as socioeconomic and climate change, and the multi-sector dynamic interactions those forces create. We generate a novel global gridded monthly sectoral water withdrawal and consumption dataset at 0.5° resolution for 2010–2100 for a diverse range of 75 scenarios. The scenarios are harmonized with the five Shared Socioeconomic Pathways (SSPs) and four Representative Concentration Pathways (RCPs) scenarios to support its usage in studies evaluating the implications of uncertain human and earth system change for future global and regional dynamics. To generate the data, we couple the Global Change Analysis Model (GCAM) with a land use spatial downscaling model (Demeter), a global hydrologic framework (Xanthos), and a water withdrawal downscaling model (Tethys).
- Authors:
-
[1];
[1];
[1];
- Pacific Northwest National Laboratory (PNNL), College Park, MD (United States)
- University of Wisconsin, Madison, WI (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1983579
- Report Number(s):
- PNNL-SA-174645
Journal ID: ISSN 2052-4463
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Data
- Additional Journal Information:
- Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 2052-4463
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Environmental sciences; Hydrology
Citation Formats
Khan, Zarrar, Thompson, Isaac F., Vernon, Christopher R., Graham, Neal T., Wild, Thomas B., and Chen, Min. Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures. United States: N. p., 2023.
Web. doi:10.1038/s41597-023-02086-2.
Khan, Zarrar, Thompson, Isaac F., Vernon, Christopher R., Graham, Neal T., Wild, Thomas B., & Chen, Min. Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures. United States. https://doi.org/10.1038/s41597-023-02086-2
Khan, Zarrar, Thompson, Isaac F., Vernon, Christopher R., Graham, Neal T., Wild, Thomas B., and Chen, Min. Tue .
"Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures". United States. https://doi.org/10.1038/s41597-023-02086-2. https://www.osti.gov/servlets/purl/1983579.
@article{osti_1983579,
title = {Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures},
author = {Khan, Zarrar and Thompson, Isaac F. and Vernon, Christopher R. and Graham, Neal T. and Wild, Thomas B. and Chen, Min},
abstractNote = {Water usage is closely linked with societal goals that are both local and global in scale, such as sustainable development and economic growth. It is therefore of value, particularly for long-term planning, to understand how future sectoral water usage could evolve on a global scale at fine resolution. Additionally, future water usage could be strongly shaped by global forces, such as socioeconomic and climate change, and the multi-sector dynamic interactions those forces create. We generate a novel global gridded monthly sectoral water withdrawal and consumption dataset at 0.5° resolution for 2010–2100 for a diverse range of 75 scenarios. The scenarios are harmonized with the five Shared Socioeconomic Pathways (SSPs) and four Representative Concentration Pathways (RCPs) scenarios to support its usage in studies evaluating the implications of uncertain human and earth system change for future global and regional dynamics. To generate the data, we couple the Global Change Analysis Model (GCAM) with a land use spatial downscaling model (Demeter), a global hydrologic framework (Xanthos), and a water withdrawal downscaling model (Tethys).},
doi = {10.1038/s41597-023-02086-2},
journal = {Scientific Data},
number = 1,
volume = 10,
place = {United States},
year = {Tue Apr 11 00:00:00 EDT 2023},
month = {Tue Apr 11 00:00:00 EDT 2023}
}
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