CMIP6-based Dynamically Downscaled Hydroclimate Projection over the Conterminous US

Dataset · Thu Sep 01 04:00:00 EDT 2022

DOI:https://doi.org/10.13139/OLCF/3000752· OSTI ID:3001980

Ashfaq, Moetasim ^[1]; Rastogi, Deeksha ^[1]; Kao, Shih-Chieh ^[1]

---

1. ORNL

This dataset presents a suite of 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 dynamically using RegCM4. Each ensemble member covers the 1980-2019 baseline and 2020-2059 near-future periods under the high-end (SSP585) emission scenario. 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).

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 3001980
• Country of Publication: United States
• Language: English