Articles | Volume 14, issue 6
Data description paper
15 Jun 2022
Data description paper |  | 15 Jun 2022

Hourly historical and near-future weather and climate variables for energy system modelling

Hannah C. Bloomfield, David J. Brayshaw, Matthew Deakin, and David Greenwood

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Cited articles

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Short summary
There is a global increase in renewable generation to meet carbon targets and reduce the impacts of climate change. Renewable generation and electricity demand depend on the weather. This means there is a need for high-quality weather data for energy system modelling. We present a new European-level, 70-year dataset which has been specifically designed to support the energy sector. We provide hourly, sub-national climate outputs and include the impacts of near-term climate change.