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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Jun 2022
Data description paper |
| 15 Jun 2022
| 15 Jun 2022
Hourly historical and near-future weather and climate variables for energy system modelling
Hannah C. Bloomfield
CORRESPONDING AUTHOR
Department of Meteorology, University of Reading, Reading, UK
School of Geographical Sciences, University of Bristol, Bristol, UK
David J. Brayshaw
Department of Meteorology, University of Reading, Reading, UK
National Centre for Atmospheric Science, Reading, UK
Matthew Deakin
School of Engineering, Newcastle University, Newcastle-upon-Tyne, UK
David Greenwood
School of Engineering, Newcastle University, Newcastle-upon-Tyne, UK
Viewed
Total article views: 5,750 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,094 | 1,546 | 110 | 5,750 | 94 | 102 |
- HTML: 4,094
- PDF: 1,546
- XML: 110
- Total: 5,750
- BibTeX: 94
- EndNote: 102
Total article views: 4,179 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Jun 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,307 | 788 | 84 | 4,179 | 77 | 85 |
- HTML: 3,307
- PDF: 788
- XML: 84
- Total: 4,179
- BibTeX: 77
- EndNote: 85
Total article views: 1,571 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Jan 2022)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 787 | 758 | 26 | 1,571 | 17 | 17 |
- HTML: 787
- PDF: 758
- XML: 26
- Total: 1,571
- BibTeX: 17
- EndNote: 17
Viewed (geographical distribution)
Total article views: 5,750 (including HTML, PDF, and XML)
Thereof 5,418 with geography defined
and 332 with unknown origin.
Total article views: 4,179 (including HTML, PDF, and XML)
Thereof 3,961 with geography defined
and 218 with unknown origin.
Total article views: 1,571 (including HTML, PDF, and XML)
Thereof 1,457 with geography defined
and 114 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
23 citations as recorded by crossref.
- A Climate-Informed Approach to Create Hourly Future Weather Timeseries for Power System Planning E. Smith et al. 10.1109/ACCESS.2025.3567864
- SOWISP—A retrospective high spatial and temporal resolution database of the installed wind and solar PV power in Spain A. Jiménez-Garrote et al. 10.1016/j.solener.2023.03.009
- Historical Hourly Information of Four European Wind Farms for Wind Energy Forecasting and Maintenance J. Sánchez-Soriano et al. 10.3390/data10030038
- Validating EURO-CORDEX climate simulations for modelling European wind power generation G. Luzia et al. 10.1016/j.renene.2023.118989
- Continental United States climate projections based on thermodynamic modification of historical weather A. Jones et al. 10.1038/s41597-023-02485-5
- The potential impact of climate change on European renewable energy droughts J. Kapica et al. 10.1016/j.rser.2023.114011
- Quantifying renewable energy potential and realized capacity in India: Opportunities and challenges K. Hunt & H. Bloomfield 10.1002/met.2196
- Ultra-long-duration energy storage anywhere: Methanol with carbon cycling T. Brown & J. Hampp 10.1016/j.joule.2023.10.001
- A 4 km daily gridded meteorological dataset for China from 2000 to 2020 J. Zhang et al. 10.1038/s41597-024-04029-x
- Leveraging state‐of‐the‐art AI models to forecast wind power generation using deep learning L. Hardy & I. Finney 10.1002/met.70038
- Weather- and climate-driven power supply and demand time series for power and energy system analyses E. Antonini et al. 10.1038/s41597-024-04129-8
- CHUWD-H v1.0: a comprehensive historical hourly weather database for U.S. urban energy system modeling C. Wang et al. 10.1038/s41597-024-04238-4
- Compound winter low-wind and cold events impacting the French electricity system: observed evolution and role of large-scale circulation F. Collet et al. 10.5194/nhess-25-843-2025
- Price formation without fuel costs: The interaction of demand elasticity with storage bidding T. Brown et al. 10.1016/j.eneco.2025.108483
- Wind power forecasting over India: value-addition to a coupled model seasonal forecasts S. Kumar et al. 10.1093/ce/zkae094
- Projections of standardised energy indices in future climate scenarios E. Dolores-Tesillos et al. 10.1088/1748-9326/ad9b3f
- Bridging the gap: rescuing and digitizing historical meteorological records K. Asare et al. 10.3389/fclim.2025.1524029
- Hourly temperature downscaling method based on clustering and linear transformation: Utilizing mean, maximum, and minimum temperatures Y. Hsiao 10.1016/j.enbuild.2024.114975
- Exploring the demand for inter-annual storage for balancing wind energy variability in 100% renewable energy systems P. Diesing et al. 10.1016/j.energy.2024.133572
- The impact of future UK offshore wind farm distribution and climate change on generation performance and variability J. Giddings et al. 10.1088/1748-9326/ad489b
- Analysis of the Effect of Meteorological Elements on New Energy Power Prediction Based on Machine Learning H. Shen et al. 10.2174/2352096516666230907145027
- A novel method for modeling renewable power production using ERA5: Spanish solar PV energy G. Sánchez-Hernández et al. 10.1016/j.renene.2024.122120
- Wind power estimation on local scale—A case study of representativeness of reanalysis data and data-driven analysis I. Schicker et al. 10.3389/fclim.2023.1017774
22 citations as recorded by crossref.
- A Climate-Informed Approach to Create Hourly Future Weather Timeseries for Power System Planning E. Smith et al. 10.1109/ACCESS.2025.3567864
- SOWISP—A retrospective high spatial and temporal resolution database of the installed wind and solar PV power in Spain A. Jiménez-Garrote et al. 10.1016/j.solener.2023.03.009
- Historical Hourly Information of Four European Wind Farms for Wind Energy Forecasting and Maintenance J. Sánchez-Soriano et al. 10.3390/data10030038
- Validating EURO-CORDEX climate simulations for modelling European wind power generation G. Luzia et al. 10.1016/j.renene.2023.118989
- Continental United States climate projections based on thermodynamic modification of historical weather A. Jones et al. 10.1038/s41597-023-02485-5
- The potential impact of climate change on European renewable energy droughts J. Kapica et al. 10.1016/j.rser.2023.114011
- Quantifying renewable energy potential and realized capacity in India: Opportunities and challenges K. Hunt & H. Bloomfield 10.1002/met.2196
- Ultra-long-duration energy storage anywhere: Methanol with carbon cycling T. Brown & J. Hampp 10.1016/j.joule.2023.10.001
- A 4 km daily gridded meteorological dataset for China from 2000 to 2020 J. Zhang et al. 10.1038/s41597-024-04029-x
- Leveraging state‐of‐the‐art AI models to forecast wind power generation using deep learning L. Hardy & I. Finney 10.1002/met.70038
- Weather- and climate-driven power supply and demand time series for power and energy system analyses E. Antonini et al. 10.1038/s41597-024-04129-8
- CHUWD-H v1.0: a comprehensive historical hourly weather database for U.S. urban energy system modeling C. Wang et al. 10.1038/s41597-024-04238-4
- Compound winter low-wind and cold events impacting the French electricity system: observed evolution and role of large-scale circulation F. Collet et al. 10.5194/nhess-25-843-2025
- Price formation without fuel costs: The interaction of demand elasticity with storage bidding T. Brown et al. 10.1016/j.eneco.2025.108483
- Wind power forecasting over India: value-addition to a coupled model seasonal forecasts S. Kumar et al. 10.1093/ce/zkae094
- Projections of standardised energy indices in future climate scenarios E. Dolores-Tesillos et al. 10.1088/1748-9326/ad9b3f
- Bridging the gap: rescuing and digitizing historical meteorological records K. Asare et al. 10.3389/fclim.2025.1524029
- Hourly temperature downscaling method based on clustering and linear transformation: Utilizing mean, maximum, and minimum temperatures Y. Hsiao 10.1016/j.enbuild.2024.114975
- Exploring the demand for inter-annual storage for balancing wind energy variability in 100% renewable energy systems P. Diesing et al. 10.1016/j.energy.2024.133572
- The impact of future UK offshore wind farm distribution and climate change on generation performance and variability J. Giddings et al. 10.1088/1748-9326/ad489b
- Analysis of the Effect of Meteorological Elements on New Energy Power Prediction Based on Machine Learning H. Shen et al. 10.2174/2352096516666230907145027
- A novel method for modeling renewable power production using ERA5: Spanish solar PV energy G. Sánchez-Hernández et al. 10.1016/j.renene.2024.122120
Latest update: 13 Jun 2025
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.
There is a global increase in renewable generation to meet carbon targets and reduce the impacts...
Altmetrics
Final-revised paper
Preprint