CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US

Kao, Shih-Chieh; Ashfaq, Moetasim; Rastogi, Deeksha; Gangrade, Sudershan

doi:10.21951/SWA9505V3/1887469

Title: CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US

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Abstract

We present a suite of high-resolution downscaled hydro-climate projections over the conterminous United States (CONUS) based on a six-member General Climate Model (GCM) ensemble from the Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs are downscaled using two different downscaling approaches (statistical-based DBCCA & dynamical-based RegCM) based on two meteorological reference observations (Daymet & Livneh), and then fed to two calibrated hydrologic models (VIC & PRMS) to simulate projected future hydrologic responses. Each ensemble member covers 1980–2019 in the historic period and 2020–2059 in the near-term future period under the high-end (SSP585) emission scenario. Major variables such as daily maximum temperature (tmax), daily minimum temperature (tmin), daily total precipitation (prcp), daily average wind speed (wind), and daily total runoff (runoff) at 1/24° (~4 km) spatial resolution across the CONUS are provided through this data portal. This dataset is derived to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). Further details of this dataset can be referred to Kao et al. (2022) and Rastogi et al. (2022).

Authors:

Kao, Shih-Chieh; Ashfaq, Moetasim; Rastogi, Deeksha; Gangrade, Sudershan

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

Publication Date:: Thu Sep 01 00:00:00 EDT 2022

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:: 1887469

DOI:: https://doi.org/10.21951/SWA9505V3/1887469

Citation Formats


                    Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, and Gangrade, Sudershan. CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US.  United States: N. p., 2022. 
        Web.  doi:10.21951/SWA9505V3/1887469.

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                    Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, & Gangrade, Sudershan. CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US.  United States.  doi:https://doi.org/10.21951/SWA9505V3/1887469

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                    Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, and Gangrade, Sudershan. 2022.  
"CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US".  United States.  doi:https://doi.org/10.21951/SWA9505V3/1887469.  https://www.osti.gov/servlets/purl/1887469. Pub date:Thu Sep 01 00:00:00 EDT 2022

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@article{osti_1887469,

  title        = {CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US},

  author       = {Kao, Shih-Chieh and Ashfaq, Moetasim and Rastogi, Deeksha and Gangrade, Sudershan},

  abstractNote = {We present a suite of high-resolution downscaled hydro-climate projections over the conterminous United States (CONUS) based on a six-member General Climate Model (GCM) ensemble from the Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs are downscaled using two different downscaling approaches (statistical-based DBCCA & dynamical-based RegCM) based on two meteorological reference observations (Daymet & Livneh), and then fed to two calibrated hydrologic models (VIC & PRMS) to simulate projected future hydrologic responses. Each ensemble member covers 1980–2019 in the historic period and 2020–2059 in the near-term future period under the high-end (SSP585) emission scenario. Major variables such as daily maximum temperature (tmax), daily minimum temperature (tmin), daily total precipitation (prcp), daily average wind speed (wind), and daily total runoff (runoff) at 1/24° (~4 km) spatial resolution across the CONUS are provided through this data portal. This dataset is derived to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). Further details of this dataset can be referred to Kao et al. (2022) and Rastogi et al. (2022).},

  doi          = {10.21951/SWA9505V3/1887469},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Sep 01 00:00:00 EDT 2022},

  month        = {Thu Sep 01 00:00:00 EDT 2022}

}

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DOI: https://doi.org/10.21951/SWA9505V3/1887469

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