CMIP6-based Multi-model Hydropower Projection over the Conterminous US, Version 1.1

Voisin, Nathalie; Kao, Shih-Chieh; Broman, Daniel; Zhou, Tian; Xu, Wenwei; Ghimire, Ganesh; Gangrade, Sudershan

doi:10.21951/SWA9505V3/3001439

Title: CMIP6-based Multi-model Hydropower Projection over the Conterminous US, Version 1.1

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Abstract

This dataset presents a suite of hydropower projections for the conterminous United States (CONUS), derived from multiple downscaled and bias-corrected Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The CMIP6 GCMs are downscaled using either statistical (DBCCA) or dynamical (RegCM) approaches, based on two meteorological reference datasets (Daymet and Livneh). The resulting downscaled precipitation, temperature, and wind speed data are then used to drive two calibrated hydrologic models (VIC and PRMS), enabling simulations of projected future hydrologic responses across the CONUS. Simulated total runoff is subsequently employed to drive two hydropower models (WMP, now implemented as mosartwmpy-power, and WRES) to evaluate how climate change may affect future hydropower production for both federal and non-federal hydropower fleets. This dataset was developed to support the SECURE Water Act Section 9505 Assessment for the U.S. Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details, see Broman et al. (2024), Thurber et al. (2024), Kao et al. (2022), and Zhou et al. (2023).

Authors:

;

Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Publication Date:: Wed Nov 12 04:00:00 UTC 2025

Other Number(s):: 1.1

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office

OSTI Identifier:: 3001439

DOI:: https://doi.org/10.21951/SWA9505V3/3001439

Citation Formats


                    Voisin, Nathalie, Kao, Shih-Chieh, Broman, Daniel, Zhou, Tian, Xu, Wenwei, Ghimire, Ganesh, and Gangrade, Sudershan. CMIP6-based Multi-model Hydropower Projection over the Conterminous US, Version 1.1.  United States: N. p., 2025. 
        Web.  doi:10.21951/SWA9505V3/3001439.

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                    Voisin, Nathalie, Kao, Shih-Chieh, Broman, Daniel, Zhou, Tian, Xu, Wenwei, Ghimire, Ganesh, & Gangrade, Sudershan. CMIP6-based Multi-model Hydropower Projection over the Conterminous US, Version 1.1.  United States.  doi:https://doi.org/10.21951/SWA9505V3/3001439

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                    Voisin, Nathalie, Kao, Shih-Chieh, Broman, Daniel, Zhou, Tian, Xu, Wenwei, Ghimire, Ganesh, and Gangrade, Sudershan. 2025.  
"CMIP6-based Multi-model Hydropower Projection over the Conterminous US, Version 1.1".  United States.  doi:https://doi.org/10.21951/SWA9505V3/3001439.  https://www.osti.gov/servlets/purl/3001439. Pub date:Wed Nov 12 04:00:00 UTC 2025

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@article{osti_3001439,

  title        = {CMIP6-based Multi-model Hydropower Projection over the Conterminous US, Version 1.1},

  author       = {Voisin, Nathalie and Kao, Shih-Chieh and Broman, Daniel and Zhou, Tian and Xu, Wenwei and Ghimire, Ganesh and Gangrade, Sudershan},

  abstractNote = {This dataset presents a suite of hydropower projections for the conterminous United States (CONUS), derived from multiple downscaled and bias-corrected Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The CMIP6 GCMs are downscaled using either statistical (DBCCA) or dynamical (RegCM) approaches, based on two meteorological reference datasets (Daymet and Livneh). The resulting downscaled precipitation, temperature, and wind speed data are then used to drive two calibrated hydrologic models (VIC and PRMS), enabling simulations of projected future hydrologic responses across the CONUS. Simulated total runoff is subsequently employed to drive two hydropower models (WMP, now implemented as mosartwmpy-power, and WRES) to evaluate how climate change may affect future hydropower production for both federal and non-federal hydropower fleets. This dataset was developed to support the SECURE Water Act Section 9505 Assessment for the U.S. Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details, see Broman et al. (2024), Thurber et al. (2024), Kao et al. (2022), and Zhou et al. (2023).},

  doi          = {10.21951/SWA9505V3/3001439},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Nov 12 04:00:00 UTC 2025},

  month        = {Wed Nov 12 04:00:00 UTC 2025}

}

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DOI: https://doi.org/10.21951/SWA9505V3/3001439

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