CMIP6-based Multi-model Hydroclimate Projection over the Conterminous US, Version 1.1
- Kao, Shih-Chieh | Oak Ridge National Laboratory
- Ashfaq, Moetasim | Oak Ridge National Laboratory
- Rastogi, Deeksha | Oak Ridge National Laboratory
- Gangrade, Sudershan | Oak Ridge National Laboratory
Overview
Description
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).
Funding resources
DOE contract number
DE-AC05-00OR22725Originating research organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring organization
Department of Energy Water Power Technologies OfficeRelated resources
- References (DOI): https://doi.org/10.1029/2022EF002734
- References (DOI): https://doi.org/10.2172/1887712
- IsNewVersionOf (DOI): https://doi.org/10.21951/SWA9505V3/1887469
Details
DOI
10.13139/OLCF/2311812Release date
February 29, 2024Dataset
Dataset type
ND Numeric DataSoftware
Any type of NetCDF readersAcknowledgements
Users should acknowledge the OLCF in all publications and presentations that speak to work performed on OLCF resources:
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.
Category
- 13 HYDRO ENERGY,
- 54 ENVIRONMENTAL SCIENCES,
- 58 GEOSCIENCES,
- 97 MATHEMATICS AND COMPUTING
Keywords
- CMIP6,
- CONUS,
- DBCCA,
- RegCM,
- VIC,
- PRMS,
- Downscaling,
- Bias Correction,
- Hydroclimate Projections,
- Hydropower