Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)
The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields. Sup3rWind data is produced by downscaling ECMWF Reanalysis Version 5 data (ERA5) to 2-km spatial and 5-minute temporal resolution (hourly for temperature, humidity, and pressure). 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"). It improves the representation of terrain driven wind flows, extreme wind events, and preserves important spatiotemporal patterns for use in energy system planning and operations.
Coverage:
-------------
Ukraine, Moldova, and part of Romania: This data is accessed through the "ukraine" folder in the "Sup3rWind Data and Models in S3" resource below. Sup3r software v0.1.2, phygnn v0.0.28, and the models in "models/sup3rwind_models_202401", were used to generate this data.
Citation Formats
TY - DATA
AB - The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields. Sup3rWind data is produced by downscaling ECMWF Reanalysis Version 5 data (ERA5) to 2-km spatial and 5-minute temporal resolution (hourly for temperature, humidity, and pressure). 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"). It improves the representation of terrain driven wind flows, extreme wind events, and preserves important spatiotemporal patterns for use in energy system planning and operations.
Coverage:
-------------
Ukraine, Moldova, and part of Romania: This data is accessed through the "ukraine" folder in the "Sup3rWind Data and Models in S3" resource below. Sup3r software v0.1.2, phygnn v0.0.28, and the models in "models/sup3rwind_models_202401", were used to generate this data.
AU - Benton, Brandon
A2 - Buster, Grant
A3 - Pinchuk, Pavlo
A4 - Glaws, Andrew
A5 - King, Ryan
A6 - Maclaurin, Galen
A7 - Chernyakhovskiy, Ilya
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO -
KW - energy
KW - power
KW - wind
KW - temperature
KW - windspeed
KW - machine learning
KW - resource data
KW - weather
KW - generative adversarial learning
KW - GAN
KW - high-resolution
KW - renewable energy
KW - energy systems
KW - power systems
KW - energy planning
KW - Sup3rWind
KW - ERA5
KW - data assimilation
KW - data
KW - processed data
KW - model
KW - ML
KW - sup3r
KW - downscaling
KW - generative
KW - Ukraine
LA - English
DA - 2024/03/11
PY - 2024
PB - National Renewable Energy Lab (NREL)
T1 - Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)
UR - https://data.openei.org/submissions/8455
ER -
Benton, Brandon, et al. Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind). National Renewable Energy Lab (NREL), 11 March, 2024, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8455.
Benton, B., Buster, G., Pinchuk, P., Glaws, A., King, R., Maclaurin, G., & Chernyakhovskiy, I. (2024). Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind). [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Lab (NREL). https://data.openei.org/submissions/8455
Benton, Brandon, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan King, Galen Maclaurin, and Ilya Chernyakhovskiy. Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind). National Renewable Energy Lab (NREL), March, 11, 2024. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/8455
@misc{OEDI_Dataset_8455,
title = {Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind)},
author = {Benton, Brandon and Buster, Grant and Pinchuk, Pavlo and Glaws, Andrew and King, Ryan and Maclaurin, Galen and Chernyakhovskiy, Ilya},
abstractNote = {The Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis (Sup3rWind) data is a collection of high-resolution historical wind, temperature, humidity, and pressure fields. Sup3rWind data is produced by downscaling ECMWF Reanalysis Version 5 data (ERA5) to 2-km spatial and 5-minute temporal resolution (hourly for temperature, humidity, and pressure). 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"). It improves the representation of terrain driven wind flows, extreme wind events, and preserves important spatiotemporal patterns for use in energy system planning and operations.
Coverage:
-------------
Ukraine, Moldova, and part of Romania: This data is accessed through the "ukraine" folder in the "Sup3rWind Data and Models in S3" resource below. Sup3r software v0.1.2, phygnn v0.0.28, and the models in "models/sup3rwind_models_202401", were used to generate this data.},
url = {https://data.openei.org/submissions/8455},
year = {2024},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Lab (NREL), https://data.openei.org/submissions/8455},
note = {Accessed: 2025-07-17}
}
Details
Data from Mar 11, 2024
Last updated Jul 17, 2025
Submitted Jul 16, 2025
Organization
National Renewable Energy Lab (NREL)
Contact
Brandon Benton
