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

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

doi:https://doi.org/10.5194/essd-14-2749-2022

Articles | Volume 14, issue 6

https://doi.org/10.5194/essd-14-2749-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-2749-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Data sets

ERA5 derived time series of European aggregated surface weather variables, wind power, and solar power capacity factors: hourly data from 1950-2020. Hannah C. Bloomfield and David J. Brayshaw, https://doi.org/10.17864/1947.000321

Future climate projections of surface weather variables, wind power, and solar power capacity factors across North-West Europe Hannah C. Bloomfield and David J. Brayshaw, https://doi.org/10.17864/1947.000331

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.