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20240529T195551-ddd00009797b70f317cb841d1df36075d2ee80f9 + 20240529195551 + + JOSS Admin + admin@theoj.org + + The Open Journal + + + + + Journal of Open Source Software + JOSS + 2475-9066 + + 10.21105/joss + https://joss.theoj.org + + + + + 05 + 2024 + + + 9 + + 97 + + + + Tethys: A Spatiotemporal Downscaling Model for Global +Water Demand + + + + Isaac + Thompson + https://orcid.org/0000-0001-9594-0043 + + + Chris R. + Vernon + https://orcid.org/0000-0002-3406-6214 + + + Zarrar + Khan + https://orcid.org/0000-0002-8147-8553 + + + + 05 + 29 + 2024 + + + 5855 + + + 10.21105/joss.05855 + + + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + http://creativecommons.org/licenses/by/4.0/ + + + + Software archive + 10.5281/zenodo.10966693 + + + GitHub review issue + https://github.com/openjournals/joss-reviews/issues/5855 + + + + 10.21105/joss.05855 + https://joss.theoj.org/papers/10.21105/joss.05855 + + + https://joss.theoj.org/papers/10.21105/joss.05855.pdf + + + + + + Reconstruction of global gridded monthly +sectoral water withdrawals for 1971–2010 and analysis of their +spatiotemporal patterns + Huang + Hydrology and Earth System +Sciences + 4 + 22 + 10.5194/hess-22-2117-2018 + 2018 + Huang, Z., Hejazi, M., Li, X., Tang, +Q., Vernon, C., Leng, G., Liu, Y., Döll, P., Eisner, S., Gerten, D., +Hanasaki, N., & Wada, Y. (2018). Reconstruction of global gridded +monthly sectoral water withdrawals for 1971–2010 and analysis of their +spatiotemporal patterns. Hydrology and Earth System Sciences, 22(4), +2117–2133. +https://doi.org/10.5194/hess-22-2117-2018 + + + Tethys – a python package for spatial and +temporal downscaling of global water withdrawals + Li + Journal of Open Research +Software + 10.5334/jors.197 + 2018 + Li, X., Vernon, C. R., Hejazi, M. I., +Link, R. P., Huang, Z., Liu, L., & Feng, L. (2018). Tethys – a +python package for spatial and temporal downscaling of global water +withdrawals. Journal of Open Research Software. +https://doi.org/10.5334/jors.197 + + + Global monthly sectoral water use for +2010–2100 at 0.5 resolution across alternative futures + Khan + Scientific Data + 1 + 10 + 10.1038/s41597-023-02086-2 + 2052-4463 + 2023 + Khan, Z., Thompson, I., Vernon, C. +R., Graham, N. T., Wild, T. B., & Chen, M. (2023). Global monthly +sectoral water use for 2010–2100 at 0.5 resolution across alternative +futures. Scientific Data, 10(1), 201. +https://doi.org/10.1038/s41597-023-02086-2 + + + One-way coupling of an integrated assessment +model and a water resources model: Evaluation and implications of future +changes over the US Midwest + Voisin + Hydrology and Earth System +Sciences + 11 + 17 + 10.5194/hess-17-4555-2013 + 2013 + Voisin, N., Liu, L., Hejazi, M., +Tesfa, T., Li, H., Huang, M., Liu, Y., & Leung, L. R. (2013). +One-way coupling of an integrated assessment model and a water resources +model: Evaluation and implications of future changes over the US +Midwest. Hydrology and Earth System Sciences, 17(11), 4555–4575. +https://doi.org/10.5194/hess-17-4555-2013 + + + GCAM v5.1: Representing the linkages between +energy, water, land, climate, and economic systems + Calvin + Geoscientific Model +Development + 2 + 12 + 10.5194/gmd-12-677-2019 + 2019 + Calvin, K., Patel, P., Clarke, L., +Asrar, G., Bond-Lamberty, B., Cui, R. Y., Di Vittorio, A., Dorheim, K., +Edmonds, J., Hartin, C., Hejazi, M., Horowitz, R., Iyer, G., Kyle, P., +Kim, S., Link, R., McJeon, H., Smith, S. J., Snyder, A., … Wise, M. +(2019). GCAM v5.1: Representing the linkages between energy, water, +land, climate, and economic systems. Geoscientific Model Development, +12(2), 677–698. +https://doi.org/10.5194/gmd-12-677-2019 + + + GCAM-USA v5.3_water_dispatch: Integrated +modeling of subnational US energy, water, and land systems within a +global framework + Binsted + Geoscientific Model +Development + 6 + 15 + 10.5194/gmd-15-2533-2022 + 2022 + Binsted, M., Iyer, G., Patel, P., +Graham, N. T., Ou, Y., Khan, Z., Kholod, N., Narayan, K., Hejazi, M., +Kim, S., Calvin, K., & Wise, M. (2022). GCAM-USA +v5.3_water_dispatch: Integrated modeling of subnational US energy, +water, and land systems within a global framework. 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0000000000..894aca4015 --- /dev/null +++ b/joss.05855/paper.jats/10.21105.joss.05855.jats @@ -0,0 +1,336 @@ + + +
+ + + + +Journal of Open Source Software +JOSS + +2475-9066 + +Open Journals + + + +5855 +10.21105/joss.05855 + +Tethys: A Spatiotemporal Downscaling Model for Global +Water Demand + + + +https://orcid.org/0000-0001-9594-0043 + +Thompson +Isaac + + + + +https://orcid.org/0000-0002-3406-6214 + +Vernon +Chris R. + + +* + + +https://orcid.org/0000-0002-8147-8553 + +Khan +Zarrar + + + + + +Joint Global Change Research Institute, Pacific Northwest +National Laboratory, College Park, MD., USA + + + + +Pacific Northwest National Laboratory, Richland, WA., +USA + + + + +* E-mail: + + +16 +5 +2023 + +9 +97 +5855 + +Authors of papers retain copyright and release the +work under a Creative Commons Attribution 4.0 International License (CC +BY 4.0) +2022 +The article authors + +Authors of papers retain copyright and release the work under +a Creative Commons Attribution 4.0 International License (CC BY +4.0) + + + +Python +water demand +downscaling + + + + + + Summary +

Humans use water for many important tasks, such as drinking, + growing food, and cooling power plants. Since future water demands + depend on complex global interactions between economic sectors (e.g., + demand for wheat in one country causing demand for water to grow that + wheat in another country), it is often modeled at coarse spatial and + temporal scales as part of models that account for complex, + multi-sector system dynamics. However, models that project future + water availability typically simulate physical processes at much finer + scales. Tethys enables integration between + these kinds of models by downscaling region-scale water demand + projections using sector-specific proxies and formulas.

+
+ + Statement of Need +

Global hydrological models often require gridded water demand data + to represent the location and timing of flows for human consumption, + but historical inventories of water use are often only available per + country at annual or larger intervals + (Huang + et al., 2018). In order to model future global economic + linkages in detail, multi-sector models (e.g., the Global Change + Analysis Model + (Binsted + et al., 2022; + Calvin + et al., 2019)) also operate at these coarser spatial and + temporal scales. This gap in scale makes downscaling water demands a + common need.

+

The distribution of water demands depends on the location and + timing of activities that use water, so the usual approach is to use + relevant gridded datasets as spatial proxies for each water demand + sector (e.g., assume that irrigation water demand is proportional to + irrigated land area), then further allocate annual water demands among + months according to formulas that capture seasonal variations + (Voisin + et al., 2013). This is typically accomplished with scripts + designed for specific model-integration workflows, but different + models and proxy datasets can have different breakdowns of water + demand sectors, limiting reuse of such scripts.

+

Building on previous versions + (Li et + al., 2018), Tethys now generalizes this + downscaling process to provide a convenient and flexible interface for + configuring proxy rules, as well as specifying target output + resolution, allowing researchers to easily generate finely gridded + water demand data that are consistent with coarser scale inventories + or simulations. Tethys has been used in + scientific publications such as Khan et al. + (2023), + which downscaled water demand from an ensemble of 75 socioeconomic and + climate scenarios.

+
+ + Key Functionality +

Tethys consists of 2 stages: spatial + downscaling ([fig:1]) and + (optionally) temporal downscaling. First, sectoral water demands by + region are disaggregated to water demand by grid cell in proportion to + appropriate spatial proxies, i.e.,

+

+ + demandcell=demandregion×proxycellproxyregion.

+

Then, temporal downscaling follows sector-specific formulas from + the literature, which determine the fraction of a year’s water demand + to allocate to each month based on relationships between monthly water + demand and other monthly variables. See the + documentation + for more details and example usage.

+ +

Before and after spatial downscaling. +

+ +
+
+ + Acknowledgements +

This research was supported by the U.S. Department of Energy, + Office of Science, as part of research in MultiSector Dynamics, Earth + and Environmental System Modeling Program. The Pacific Northwest + National Laboratory is operated for DOE by Battelle Memorial Institute + under contract DE-AC05-76RL01830. The views and opinions expressed in + this paper are those of the authors alone.

+
+ + + + + + + HuangZ. + HejaziM. + LiX. + TangQ. + VernonC. + LengG. + LiuY. + DöllP. + EisnerS. + GertenD. + HanasakiN. + WadaY. + + Reconstruction of global gridded monthly sectoral water withdrawals for 1971–2010 and analysis of their spatiotemporal patterns + Hydrology and Earth System Sciences + 2018 + 22 + 4 + https://hess.copernicus.org/articles/22/2117/2018/ + 10.5194/hess-22-2117-2018 + 2117 + 2133 + + + + + + LiXinya + VernonChris R. + HejaziMohamad I. + LinkRobert P. + HuangZhongwei + LiuLu + FengLeyang + + Tethys – a python package for spatial and temporal downscaling of global water withdrawals + Journal of Open Research Software + 201802 + 10.5334/jors.197 + + + + + + KhanZarrar + ThompsonIsaac + VernonChris R. + GrahamNeal T. + WildThomas B. + ChenMin + + Global monthly sectoral water use for 2010–2100 at 0.5 resolution across alternative futures + Scientific Data + 20230411 + 10 + 1 + 2052-4463 + https://doi.org/10.1038/s41597-023-02086-2 + 10.1038/s41597-023-02086-2 + 201 + + + + + + + VoisinN. + LiuL. + HejaziM. + TesfaT. + LiH. + HuangM. + LiuY. + LeungL. R. + + One-way coupling of an integrated assessment model and a water resources model: Evaluation and implications of future changes over the US Midwest + Hydrology and Earth System Sciences + 2013 + 17 + 11 + https://hess.copernicus.org/articles/17/4555/2013/ + 10.5194/hess-17-4555-2013 + 4555 + 4575 + + + + + + CalvinK. + PatelP. + ClarkeL. + AsrarG. + Bond-LambertyB. + CuiR. Y. + Di VittorioA. + DorheimK. + EdmondsJ. + HartinC. + HejaziM. + HorowitzR. + IyerG. + KyleP. + KimS. + LinkR. + McJeonH. + SmithS. J. + SnyderA. + WaldhoffS. + WiseM. + + GCAM v5.1: Representing the linkages between energy, water, land, climate, and economic systems + Geoscientific Model Development + 2019 + 12 + 2 + https://gmd.copernicus.org/articles/12/677/2019/ + 10.5194/gmd-12-677-2019 + 677 + 698 + + + + + + BinstedM. + IyerG. + PatelP. + GrahamN. T. + OuY. + KhanZ. + KholodN. + NarayanK. + HejaziM. + KimS. + CalvinK. + WiseM. + + GCAM-USA v5.3_water_dispatch: Integrated modeling of subnational US energy, water, and land systems within a global framework + Geoscientific Model Development + 2022 + 15 + 6 + https://gmd.copernicus.org/articles/15/2533/2022/ + 10.5194/gmd-15-2533-2022 + 2533 + 2559 + + + + +