Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2749-2022
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, David J. Brayshaw, Matthew Deakin, and David Greenwood

Related authors

Identifying weather patterns responsible for renewable energy droughts over India
Isa Dijkstra, Hannah C. Bloomfield, and Kieran M. R. Hunt
Adv. Geosci., 65, 127–140, https://doi.org/10.5194/adgeo-65-127-2025,https://doi.org/10.5194/adgeo-65-127-2025, 2025
Short summary
GC Insights: Open-access R code for translating the co-occurrence of natural hazards into impact on joint financial risk
John Hillier, Adrian Champion, Tom Perkins, Freya Garry, and Hannah Bloomfield
Geosci. Commun., 7, 195–200, https://doi.org/10.5194/gc-7-195-2024,https://doi.org/10.5194/gc-7-195-2024, 2024
Short summary
Sub-seasonal forecasts of demand and wind power and solar power generation for 28 European countries
Hannah C. Bloomfield, David J. Brayshaw, Paula L. M. Gonzalez, and Andrew Charlton-Perez
Earth Syst. Sci. Data, 13, 2259–2274, https://doi.org/10.5194/essd-13-2259-2021,https://doi.org/10.5194/essd-13-2259-2021, 2021
Short summary

Related subject area

Meteorology
Homogenized daily sunshine duration over China from 1961 to 2022
Yanyi He, Kaicun Wang, Kun Yang, Chunlüe Zhou, Changkun Shao, and Changjian Yin
Earth Syst. Sci. Data, 17, 1595–1611, https://doi.org/10.5194/essd-17-1595-2025,https://doi.org/10.5194/essd-17-1595-2025, 2025
Short summary
Observations of surface energy fluxes and meteorology in the seasonally snow-covered high-elevation East River watershed during SPLASH, 2021–2023
Christopher J. Cox, Janet M. Intrieri, Brian J. Butterworth, Gijs de Boer, Michael R. Gallagher, Jonathan Hamilton, Erik Hulm, Tilden Meyers, Sara M. Morris, Jackson Osborn, P. Ola G. Persson, Benjamin Schmatz, Matthew D. Shupe, and James M. Wilczak
Earth Syst. Sci. Data, 17, 1481–1499, https://doi.org/10.5194/essd-17-1481-2025,https://doi.org/10.5194/essd-17-1481-2025, 2025
Short summary
MDG625: a daily high-resolution meteorological dataset derived by a geopotential-guided attention network in Asia (1940–2023)
Zijiang Song, Zhixiang Cheng, Yuying Li, Shanshan Yu, Xiaowen Zhang, Lina Yuan, and Min Liu
Earth Syst. Sci. Data, 17, 1501–1514, https://doi.org/10.5194/essd-17-1501-2025,https://doi.org/10.5194/essd-17-1501-2025, 2025
Short summary
The SAIL dataset of marine atmospheric electric field observations over the Atlantic Ocean
Susana Barbosa, Nuno Dias, Carlos Almeida, Guilherme Amaral, António Ferreira, António Camilo, and Eduardo Silva
Earth Syst. Sci. Data, 17, 1393–1405, https://doi.org/10.5194/essd-17-1393-2025,https://doi.org/10.5194/essd-17-1393-2025, 2025
Short summary
Global projections of heat stress at high temporal resolution using machine learning
Pantelis Georgiades, Theo Economou, Yiannis Proestos, Jose Araya, Jos Lelieveld, and Marco Neira
Earth Syst. Sci. Data, 17, 1153–1171, https://doi.org/10.5194/essd-17-1153-2025,https://doi.org/10.5194/essd-17-1153-2025, 2025
Short summary

Cited articles

Abdelilah, Y., Bahar, H., Criswell, T., Bojek, P., Briens, F., and Feuvre, P. L.: Renewables 2020: Analysis and Forecast to 2025, https://iea.blob.core.windows.net/assets/1a24f1fe-c971-4c25-964a-57d0f31eb97b/Renewables_2020-PDF.pdf (last access: 31 August 2021), 2020. a
Babatunde, O., Munda, J., and Hamam, Y.: Decarbonisation of electricity generation: Efforts and challenges, in: Carbon Footprints, Springer, 47–77, https://doi.org/10.1007/978-981-13-7912-3_3, 2019. a
Bador, M., Boé, J., Terray, L., Alexander, L. V., Baker, A., Bellucci, A., Haarsma, R., Koenigk, T., Moine, M.-P., Lohmann, K., Putrasahan, D. A., Roberts, C., Roberts, M., Scoccimarro, E., Sciemann, R., Seddon, J., Senan, R., Valcke, S., and Vanniere, B.: Impact of higher spatial atmospheric resolution on precipitation extremes over land in global climate models, J. Geophys. Res.-Atmos., 125, e2019JD032184, https://doi.org/10.1029/2019JD032184, 2020. a
Bartok, B., Tobin, I., Vautard, R., Vrac, M., Jin, X., Levavasseur, G., Denvil, S., Dubus, L., Parey, S., Michelangeli, P.-A., Troccoli, A., and Saint-Drenan, Y.-M.: A climate projection dataset tailored for the European energy sector, Climate Services, 16, 100138, https://doi.org/10.1016/j.cliser.2019.100138, 2019. a, b, c, d
Belcher, S. E., Hacker, J. N., and Powell, D. S.: Constructing design weather data for future climates, Building Services Engineering Research and Technology, 26, 49–61, 2005. a
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.
Share
Altmetrics
Final-revised paper
Preprint