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

Publicly accessible License 

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.

Citation Formats

TY - DATA AB - 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. AU - Buster, Grant A2 - Benton, Brandon A3 - Glaws, Andrew A4 - King, Ryan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.25984/1970814 KW - energy KW - power KW - solar KW - wind KW - temperature KW - windspeed KW - GHI KW - DNI KW - irradiance KW - climate change KW - machine learning KW - generative machine learning KW - resource data KW - weather KW - climate KW - contiguous United States KW - generative adversarial learning KW - GAN KW - high-resolution KW - renewable energy KW - energy systems KW - power systems KW - energy planning KW - Sup3rCC KW - generative adversarial network LA - English DA - 2023/04/19 PY - 2023 PB - National Renewable Energy Laboratory (NREL) T1 - Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC) UR - https://doi.org/10.25984/1970814 ER -
Export Citation to RIS
Buster, Grant, et al. Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC). National Renewable Energy Laboratory (NREL), 19 April, 2023, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1970814.
Buster, G., Benton, B., Glaws, A., & King, R. (2023). Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC). [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://doi.org/10.25984/1970814
Buster, Grant, Brandon Benton, Andrew Glaws, and Ryan King. Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC). National Renewable Energy Laboratory (NREL), April, 19, 2023. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1970814
@misc{OEDI_Dataset_5839, title = {Super-Resolution for Renewable Energy Resource Data with Climate Change Impacts (Sup3rCC)}, author = {Buster, Grant and Benton, Brandon and Glaws, Andrew and King, Ryan}, abstractNote = {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.

}, url = {https://data.openei.org/submissions/5839}, year = {2023}, howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://doi.org/10.25984/1970814}, note = {Accessed: 2025-04-25}, doi = {10.25984/1970814} }
https://dx.doi.org/10.25984/1970814

Details

Data from Apr 19, 2023

Last updated Mar 3, 2025

Submitted Apr 20, 2023

Organization

National Renewable Energy Laboratory (NREL)

Contact

Grant Buster

720.495.6245

Authors

Grant Buster

The National Renewable Energy Lab

Brandon Benton

The National Renewable Energy Lab

Andrew Glaws

The National Renewable Energy Lab

Ryan King

The National Renewable Energy Lab

DOE Project Details

Project Name National Transmission Planning Study (NTPS)

Project Number 38843

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