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DOE OSTI · 2311812

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

Kao, Shih-Chieh·Ashfaq, Moetasim·Rastogi, Deeksha·Gangrade, Sudershan
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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).

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13 HYDRO ENERGY54 ENVIRONMENTAL SCIENCES58 GEOSCIENCES97 MATHEMATICS AND COMPUTINGBias CorrectionCMIP6CONUSDBCCADownscalingHydroclimate ProjectionsHydropowerPRMSRegCMVIC

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Kao, Shih-Chieh, Ashfaq, Moetasim, Rastogi, Deeksha, Gangrade, Sudershan. 2024-02-29. CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1. https://doi.org/10.13139/olcf%2F2311812

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