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Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)

Publicly accessible License 

Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes models trained to estimate UHI in Los Angeles and Seattle, along with open-source software and additional training data for the 50 most populous cities in the contiguous United States. The study demonstrates the application of these methods in evaluating climate change impacts and heat mitigation strategies within high-resolution urban microclimate modeling. The dataset aims to provide a computationally efficient and adaptable solution for urban planners to address various heat planning questions and prioritize heat mitigation strategies. The open-source models, software, and data will contribute to the development of more heat-resilient and sustainable urban environments in the face of climate change.

This data is preliminary and is available to support peer review of an associated manuscript. The data will be finalized upon completion of the peer review.

The Sup3rUHI GitHub repository is under development and will be linked as a resource when complete.

Citation Formats

TY - DATA AB - Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes models trained to estimate UHI in Los Angeles and Seattle, along with open-source software and additional training data for the 50 most populous cities in the contiguous United States. The study demonstrates the application of these methods in evaluating climate change impacts and heat mitigation strategies within high-resolution urban microclimate modeling. The dataset aims to provide a computationally efficient and adaptable solution for urban planners to address various heat planning questions and prioritize heat mitigation strategies. The open-source models, software, and data will contribute to the development of more heat-resilient and sustainable urban environments in the face of climate change. This data is preliminary and is available to support peer review of an associated manuscript. The data will be finalized upon completion of the peer review. The Sup3rUHI GitHub repository is under development and will be linked as a resource when complete. AU - Buster, Grant A2 - Cox, Jordan A3 - Benton, Brandon A4 - King, Ryan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - energy KW - power KW - urban heat island uhi KW - climate change KW - cmip6 KW - climate adaptation KW - extreme heat KW - albedo modification KW - air temperature KW - land surface temperature lst KW - relative humidity KW - sustainability KW - machine learning KW - weather KW - climate KW - remote sensing KW - satellite data KW - Sup3rUHI KW - renewable resource KW - ML KW - UHI KW - cities KW - United States KW - heat mitigation KW - microclimate KW - model KW - data LA - English DA - 2024/10/16 PY - 2024 PB - National Renewable Energy Lab (NREL) T1 - Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) UR - https://data.openei.org/submissions/6220 ER -
Export Citation to RIS
Buster, Grant, et al. Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI). National Renewable Energy Lab (NREL), 16 October, 2024, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/6220.
Buster, G., Cox, J., Benton, B., & King, R. (2024). Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI). [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Lab (NREL). https://data.openei.org/submissions/6220
Buster, Grant, Jordan Cox, Brandon Benton, and Ryan King. Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI). National Renewable Energy Lab (NREL), October, 16, 2024. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/6220
@misc{OEDI_Dataset_6220, title = {Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI)}, author = {Buster, Grant and Cox, Jordan and Benton, Brandon and King, Ryan}, abstractNote = {Super-Resolution for Renewable Resource Data and Urban Heat Islands (Sup3rUHI) introduces machine learning methods to incorporate high-resolution Urban Heat Island (UHI) effects into low-resolution historical reanalysis and future climate model datasets. The dataset includes models trained to estimate UHI in Los Angeles and Seattle, along with open-source software and additional training data for the 50 most populous cities in the contiguous United States. The study demonstrates the application of these methods in evaluating climate change impacts and heat mitigation strategies within high-resolution urban microclimate modeling. The dataset aims to provide a computationally efficient and adaptable solution for urban planners to address various heat planning questions and prioritize heat mitigation strategies. The open-source models, software, and data will contribute to the development of more heat-resilient and sustainable urban environments in the face of climate change.

This data is preliminary and is available to support peer review of an associated manuscript. The data will be finalized upon completion of the peer review.

The Sup3rUHI GitHub repository is under development and will be linked as a resource when complete. }, url = {https://data.openei.org/submissions/6220}, year = {2024}, howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Lab (NREL), https://data.openei.org/submissions/6220}, note = {Accessed: 2025-05-10} }

Details

Data from Oct 16, 2024

Last updated Feb 17, 2025

Submitted Oct 23, 2024

Organization

National Renewable Energy Lab (NREL)

Contact

Grant Buster

720.495.6245

Authors

Grant Buster

The National Renewable Energy Lab NREL

Jordan Cox

The National Renewable Energy Lab NREL

Brandon Benton

The National Renewable Energy Lab NREL

Ryan King

The National Renewable Energy Lab NREL

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