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DOE OSTI · 3366643

Tethys Water Demand Data

Bracken, Cameron [Pacific Northwest National Laboratory]·Hassan, Niazi·Travis, Thurber·Isaac, Thompson·Hisham, Eldardiry·Kendall, Mongird·Nathalie, Voisin·Ning, Sun·Jennie, Rice
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Abstract

U.S. water demand varies sharply by sector and region as land use, population, weather patterns, and economic activity co-evolve. High-resolution water demand data is required to capture these dynamics, support integrated energy-water-land modeling, and local-to-regional water scarcity assessments. This dataset contains gridded (1/8 degree), monthly, multi-sector water demand dataset for the contiguous United States (CONUS) covering 1980-2100 across eight future scenarios of human-Earth system change. The dataset covers irrigation, thermoelectric, municipal (public-supply and domestic), livestock, manufacturing, and mining demands, separately for withdrawals and consumption, and includes per-cell renewable vs. non-renewable water source attributions. The dataset is validated against the latest USGS 2010-2020 water-use data for the three largest water demand sectors (Domestic, Electricity, and Irrigation), with correlations ranging from 0.73-0.95 at the HUC6 scale. The two datasets largely agree on an aggregate basis with per-sector bias falling within +/-7%, but they disagree on the spatial allocation of water with individual HUC6 basins having normalized RMSE from 68-171% and median absolute percent difference from 37-86%. This dataset advances prior global products by combining state-resolved sectoral demands from GCAM-USA, future power-plant siting from the CERF model, and scenario-consistent high-resolution climate and population forcing data across the eight scenarios.

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GCAM-USAintegrated multisector multiscale modelingWaterWater Demands

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Bracken, Cameron [Pacific Northwest National Laboratory], Hassan, Niazi, Travis, Thurber, Isaac, Thompson, Hisham, Eldardiry, Kendall, Mongird, Nathalie, Voisin, Ning, Sun, Jennie, Rice. 2025-10-22. Tethys Water Demand Data. https://doi.org/10.57931/3366643

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