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    • Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)

    Metadata Updated: July 16, 2025

    The Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) data is a collection of 4km hourly wind, solar, temperature, humidity, and pressure fields for the contiguous United States under various climate change scenarios.

    Sup3rCC is downscaled Global Climate Model (GCM) data. The downscaling process was performed using a generative machine learning approach called sup3r: Super-Resolution for Renewable Energy Resource Data (linked below as "Sup3r GitHub Repo"). The data includes both historical and future weather years, although the historical years represent the historical climate, not the actual historical weather that we experienced. You cannot use Sup3rCC data to study historical weather events, although other sup3r datasets may be intended for this.

    The Sup3rCC data is intended to help researchers study the impact of climate change on energy systems with high levels of wind and solar capacity. Please note that all climate change data is only a representation of the possible future climate and contains significant uncertainty. Analysis of multiple climate change scenarios and multiple climate models can help quantify this uncertainty.

    Latest release: second-generation v0.2.2 Sup3rCC data with six GCMs across two climate scenarios (5x SSP2-4.5 and 1x SSP5-8.5). This version includes new generative models that have a larger effective receptive field for improved spatiotemporal weather dynamics over large-areas and improved diurnal shapes. This version also includes seasonal double-bias correction with Quantile Delta Mapping (QDM) at the 100km and 4km resolutions over a longer historical period (20-40 years) for greatly reduced historical climate bias. This release includes "sup3rcc_models_202412" that can be used with sup3r software v0.2.2 and phygnn v0.0.30 to reproduce this data release, and "sup3rcc_models_202507" that can be used with sup3r v0.2.3 and phygnn v0.0.31 with some additional non-ML performance improvements.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date April 22, 2023
    Metadata Updated Date July 16, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date April 22, 2023
    Metadata Updated Date July 16, 2025
    Publisher National Renewable Energy Laboratory (NREL)
    Maintainer
    Doi 10.25984/1970814
    Identifier https://data.openei.org/submissions/5839
    Data First Published 2023-04-19T06:00:00Z
    Data Last Modified 2025-07-15T20:07:01Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Harvest Object Id d923fd29-d246-4988-bedb-1c5ad0928e37
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://data.openei.org/submissions/5839
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-180,-83,180,-83,180,83,-180,83,-180,-83}
    Program Code 019:002, 019:023, 019:000, 019:008, 019:010
    Projectnumber 38843
    Projecttitle National Transmission Planning Study (NTPS)
    Source Datajson Identifier True
    Source Hash 4adc2b568b8bfa29a63edc077086e11788785d75059d7e4e0a1a8fad0a873c6a
    Source Schema Version 1.1
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