CMIP6-based Multi-model Streamflow Projections over the Conterminous US

Kao, Shih-Chieh; Ghimire, Ganesh R.; Gangrade, Sudershan

doi:10.21951/9505V3Flow/2007926

Title: CMIP6-based Multi-model Streamflow Projections over the Conterminous US

Dataset
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Abstract

This dataset presents an ensemble of streamflow projections based on the hydroclimate projections dataset supporting the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). The six-member General Climate Model (GCM) ensemble from the Coupled Models Intercomparison Project phase 6 (CMIP6) downscaled using statistical (i.e., DBCCA) and dynamical (i.e., RegCM) and bias-corrected using two meteorological reference observations (Daymet & Livneh) are driven through two calibrated hydrologic models (VIC & PRMS) to simulate projected future hydrologic responses. This leads to the production of an ensemble of hydroclimate projections, including total runoff (surface runoff and baseflow) for 1980–2019 baseline and 2020–2059 near-term future periods under multiple emission scenarios at 1/24° (~4 km) spatial resolution across the CONUS. The total runoff projections are routed through the Routing Application for Parallel computatIon of Discharge (RAPID) routing model to produce an ensemble of streamflow projections for both periods across 2.7 million NHDPlusV2 stream reaches in the CONUS.

Authors:

Kao, Shih-Chieh; Ghimire, Ganesh R.; Gangrade, Sudershan

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Oak Ridge National Laboratory
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Publication Date:: Sun Oct 01 00:00:00 EDT 2023

Other Number(s):: 1

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

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

Subject:: 13 HYDRO ENERGY

OSTI Identifier:: 2007926

DOI:: https://doi.org/10.21951/9505V3Flow/2007926

Citation Formats


                    Kao, Shih-Chieh, Ghimire, Ganesh R., and Gangrade, Sudershan. CMIP6-based Multi-model Streamflow Projections over the Conterminous US.  United States: N. p., 2023. 
        Web.  doi:10.21951/9505V3Flow/2007926.

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                    Kao, Shih-Chieh, Ghimire, Ganesh R., & Gangrade, Sudershan. CMIP6-based Multi-model Streamflow Projections over the Conterminous US.  United States.  doi:https://doi.org/10.21951/9505V3Flow/2007926

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                    Kao, Shih-Chieh, Ghimire, Ganesh R., and Gangrade, Sudershan. 2023.  
"CMIP6-based Multi-model Streamflow Projections over the Conterminous US".  United States.  doi:https://doi.org/10.21951/9505V3Flow/2007926.  https://www.osti.gov/servlets/purl/2007926. Pub date:Sun Oct 01 00:00:00 EDT 2023

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@article{osti_2007926,

  title        = {CMIP6-based Multi-model Streamflow Projections over the Conterminous US},

  author       = {Kao, Shih-Chieh and Ghimire, Ganesh R. and Gangrade, Sudershan},

  abstractNote = {This dataset presents an ensemble of streamflow projections based on the hydroclimate projections dataset supporting the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). The six-member General Climate Model (GCM) ensemble from the Coupled Models Intercomparison Project phase 6 (CMIP6) downscaled using statistical (i.e., DBCCA) and dynamical (i.e., RegCM) and bias-corrected using two meteorological reference observations (Daymet & Livneh) are driven through two calibrated hydrologic models (VIC & PRMS) to simulate projected future hydrologic responses. This leads to the production of an ensemble of hydroclimate projections, including total runoff (surface runoff and baseflow) for 1980–2019 baseline and 2020–2059 near-term future periods under multiple emission scenarios at 1/24° (~4 km) spatial resolution across the CONUS. The total runoff projections are routed through the Routing Application for Parallel computatIon of Discharge (RAPID) routing model to produce an ensemble of streamflow projections for both periods across 2.7 million NHDPlusV2 stream reaches in the CONUS.},

  doi          = {10.21951/9505V3Flow/2007926},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Oct 01 00:00:00 EDT 2023},

  month        = {Sun Oct 01 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.21951/9505V3Flow/2007926

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