Description
This dataset presents an ensemble of streamflow projections covering the conterminous United States (CONUS), developed to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). Multiple Coupled Models Intercomparison Project phase 6 (CMIP6) Global Climate Models (GCMs) were downscaled using either statistical (DBCCA) or dynamical (RegCM) downscaling methods, based on two meteorological reference datasets (Daymet and Livneh). Subsequently, the downscaled precipitation, temperature, and wind speed data were used to drive two calibrated hydrologic models (VIC and PRMS), with total runoff routed through the Routing Application for Parallel computatIon of Discharge (RAPID) routing model, producing an ensemble of streamflow projections across 2.7 million NHDPlusV2 stream reaches across the CONUS. Each ensemble member covers the 1980-2019 baseline and 2020-2059 near-future periods under the high-end (SSP585) emission scenario. Additionally, using only DBCCA and Daymet, the projections extend to the 2060-2099 far-future period and encompass three additional emission scenarios (SSP370, SSP245, and SSP126). This dataset is designed to support the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details, refer to Kao et al. (2022), Rastogi et al. (2022), and Ghimire et al. (2023).
Date made available | May 3 2024 |
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Publisher | Constellation by Oak Ridge Leadership Computing Facility (OLCF) |
Funding
DE-AC05-00OR22725
Datasets
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CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1
Kao, S.-C. (Creator), Ashfaq, M. (Creator), Rastogi, D. (Creator) & Gangrade, S. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Feb 29 2024
Dataset
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CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US
Kao, S.-C. (Creator), Ashfaq, M. (Creator), Rastogi, D. (Creator) & Gangrade, S. (Creator), HydroSource, Sep 1 2022
DOI: 10.21951/SWA9505V3/1887469
Dataset