Data Supplement: tethys_v2.0.0 Example Data

<p>This data set contains example configuration files and inputs to accompany the version 2 release of Tethys, a spatiotemporal downscaling model for global water demand. Tethys can be accessed on GitHub here: https://github.com/JGCRI/tethys</p> <p>A description of the inputs and their sources is below.</p> <p><br> database_GCAM and database_GCAM-USA were produced using GCAM 6.0 by running the reference scenarios through the year 2030. exasmple_data.csv was extracted from database_GCAM. See: Bond-Lamberty et al. 2022. JGCRI/gcam-core: GCAM 6.0 (gcam-v6.0). Zenodo. https://doi.org/10.5281/zenodo.6619287</p> <p><br> maps are adapted from: Narayan, Kanishka, Di Vittorio, Alan, &amp; Vernon, Chris. (2021). GCAM boundary spatial products from moirai v3.1 (1.1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4688451</p> <p><br> The folder GLW3 contains outputs from the Gridded Livestock of the World database (GLW 3) https://doi.org/10.7910/DVN/BLWPZN</p> <p>see: Gilbert M, G Nicolas, G Cinardi, S Vanwambeke, TP Van Boeckel, GRW Wint, TP Robinson (2018) Global Distribution Data for Cattle, Buffaloes, Horses, Sheep, Goats, Pigs, Chickens and Ducks in 2010. Nature Scientific data, 5:180227. https://doi.org/10.1038/sdata.2018.227</p> <p><br> Population data is from</p> <p>Jones, B., and B. C. O&#39;Neill. 2020. Global One-Eighth Degree Population Base Year and Projection Grids Based on the Shared Socioeconomic Pathways, Revision 01. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/m30p-j498.</p> <p>Jones, B., and B. C. O&#39;Neill. 2016. Spatially Explicit Global Population Scenarios Consistent with the Shared Socioeconomic Pathways. Environmental Research Letters, 11 (2016): 084003. https://doi.org/10.1088/1748-9326/11/8/084003.</p> <p><br> The demeter folder contains irrigated land use data from https://dx.doi.org/10.25584/data.2020-04.1190/1615771</p> <p>Chen, M., Vernon, C.R., Graham, N.T. et al. Global land use for 2015&ndash;2100 at 0.05&deg; resolution under diverse socioeconomic and climate scenarios. Sci Data 7, 320 (2020). https://doi.org/10.1038/s41597-020-00669-x</p> <p><br> Temporal downscaling files were adapted from material prepared by Huang, Z., Hejazi, M., Li, X., Tang, Q., Vernon, C., Leng, G., Liu, Y., D&ouml;ll, P., Eisner, S., Gerten, D., Hanasaki, N., and Wada, Y.: Reconstruction of global gridded monthly sectoral water withdrawals for 1971&ndash;2010 and analysis of their spatiotemporal patterns, Hydrol. Earth Syst. Sci., 22, 2117&ndash;2133, https://doi.org/10.5194/hess-22-2117-2018, 2018.</p>