Articles | Volume 14, issue 6
Earth Syst. Sci. Data, 14, 2749–2766, 2022
https://doi.org/10.5194/essd-14-2749-2022
Earth Syst. Sci. Data, 14, 2749–2766, 2022
https://doi.org/10.5194/essd-14-2749-2022
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 et al.

Viewed

Total article views: 1,559 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,028 499 32 1,559 17 18
  • HTML: 1,028
  • PDF: 499
  • XML: 32
  • Total: 1,559
  • BibTeX: 17
  • EndNote: 18
Views and downloads (calculated since 28 Jan 2022)
Cumulative views and downloads (calculated since 28 Jan 2022)

Viewed (geographical distribution)

Total article views: 1,399 (including HTML, PDF, and XML) Thereof 1,399 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Aug 2022
Download
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.