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

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

doi:10.13139/OLCF/2311812

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

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Abstract

This dataset presents a suite of high-resolution downscaled hydro-climate projections over the conterminous United States (CONUS) based on multiple selected Global Climate Models (GCMs) from the Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs are downscaled using either statistical (DBCCA) or dynamical (RegCM) downscaling approaches based on two meteorological reference datasets (Daymet and Livneh). Subsequently, the downscaled precipitation, temperature, and wind speed are employed to drive two calibrated hydrologic models (VIC and PRMS), enabling the simulation of projected future hydrologic responses across the CONUS. Each ensemble member covers the 1980-2019 baseline and 2020-2059 near-future periods under the high-end (SSP585) emission scenario. Moreover, utilizing only DBCCA and Daymet, the projections are further extended to the 2060-2099 far-future period and across three additional emission scenarios (SSP370, SSP245, and SSP126). This dataset is formulated to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details on this dataset, please refer to Kao et al. (2022) and Rastogi et al. (2022).

Authors:

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

ORNL-OLCF

Publication Date:: Thu Feb 29 04:00:00 UTC 2024

DOE Contract Number:: AC05-00OR22725

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: Department of Energy Water Power Technologies Office

Subject:: 13 HYDRO ENERGY; 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES; 97 MATHEMATICS AND COMPUTING; CMIP6, CONUS, DBCCA, RegCM, VIC, PRMS, Downscaling, Bias Correction, Hydroclimate Projections, Hydropower

OSTI Identifier:: 2311812

DOI:: https://doi.org/10.13139/OLCF/2311812

Citation Formats


                    Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, and Gangrade, Sudershan. CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1.  United States: N. p., 2024. 
        Web.  doi:10.13139/OLCF/2311812.

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                    Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, & Gangrade, Sudershan. CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1.  United States.  doi:https://doi.org/10.13139/OLCF/2311812

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                    Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, and Gangrade, Sudershan. 2024.  
"CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1".  United States.  doi:https://doi.org/10.13139/OLCF/2311812.  https://www.osti.gov/servlets/purl/2311812. Pub date:Thu Feb 29 04:00:00 UTC 2024

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@article{osti_2311812,

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

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

  abstractNote = {This dataset presents a suite of high-resolution downscaled hydro-climate projections over the conterminous United States (CONUS) based on multiple selected Global Climate Models (GCMs) from the Coupled Models Intercomparison Project phase 6 (CMIP6). The CMIP6 GCMs are downscaled using either statistical (DBCCA) or dynamical (RegCM) downscaling approaches based on two meteorological reference datasets (Daymet and Livneh). Subsequently, the downscaled precipitation, temperature, and wind speed are employed to drive two calibrated hydrologic models (VIC and PRMS), enabling the simulation of projected future hydrologic responses across the CONUS. Each ensemble member covers the 1980-2019 baseline and 2020-2059 near-future periods under the high-end (SSP585) emission scenario. Moreover, utilizing only DBCCA and Daymet, the projections are further extended to the 2060-2099 far-future period and across three additional emission scenarios (SSP370, SSP245, and SSP126). This dataset is formulated to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details on this dataset, please refer to Kao et al. (2022) and Rastogi et al. (2022).},

  doi          = {10.13139/OLCF/2311812},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Feb 29 04:00:00 UTC 2024},

  month        = {Thu Feb 29 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.13139/OLCF/2311812

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