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Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures
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 resoluti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090044/ https://www.ncbi.nlm.nih.gov/pubmed/37041220 http://dx.doi.org/10.1038/s41597-023-02086-2 |
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author | Khan, Zarrar Thompson, Isaac Vernon, Chris R. Graham, Neal T. Wild, Thomas B. Chen, Min |
author_facet | Khan, Zarrar Thompson, Isaac Vernon, Chris R. Graham, Neal T. Wild, Thomas B. Chen, Min |
author_sort | Khan, Zarrar |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-10090044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100900442023-04-13 Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures Khan, Zarrar Thompson, Isaac Vernon, Chris R. Graham, Neal T. Wild, Thomas B. Chen, Min Sci Data Data Descriptor 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). Nature Publishing Group UK 2023-04-11 /pmc/articles/PMC10090044/ /pubmed/37041220 http://dx.doi.org/10.1038/s41597-023-02086-2 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Khan, Zarrar Thompson, Isaac Vernon, Chris R. Graham, Neal T. Wild, Thomas B. Chen, Min Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
title | Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
title_full | Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
title_fullStr | Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
title_full_unstemmed | Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
title_short | Global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
title_sort | global monthly sectoral water use for 2010–2100 at 0.5° resolution across alternative futures |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090044/ https://www.ncbi.nlm.nih.gov/pubmed/37041220 http://dx.doi.org/10.1038/s41597-023-02086-2 |
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