TMY3 files for Europe based on CERRA data from 1991-2020
Authors/Creators
Description
This dataset includes TMY files for the 5000 largest cities and towns in the EU, based on CERRA data from 1991-2020, and using a TMY3 methodology. The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.
The repository contains:
- EPW-files - zipped collection of .epw-files
- The most common file format for climate data for energy simulations applicable to most programs
- Datasheets - a zip files of individual datasheets
- A collection of datasheets containing a comparison of TMYs with the data source as well as referance data
- The datasheets contain Norwegian text
- Error metrics - ZIP file
- Error metrics mapped to a map of Norway, for visualization purposes
- As well as the metrics that are mapped
- Selected years - a comma seperated file
- the selected typical meteorological months for each location
- Changelog - a txt file
- a overview of changes in the dataset since 1.0
The contents of the repository is produced by The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology. The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.
An interactive map containing the TMY3 data, but not the TMY ISO, can be found at https://www.climatedataforbuildings.eu/
If you use the datasets or tools in your work, please reference the relevant article that document the methods and data:
Petersen & Thiis (2025), “Continental-Scale Assessment of Typical Meteorological Years in a Changing Climate”, Energy and Buildings, DOI:10.1016/j.enbuild.2025.116814
Files
Changelog.txt
Files
(2.9 GB)
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Additional details
Related works
- Is described by
- Journal article: 10.1016/j.enbuild.2025.116814 (DOI)
References
- Petersen & Thiis (2025), "Continental-Scale Assessment of Typical Meteorological Years in a Changing Climate", Energy and Buildings, DOI:https://doi.org/10.1016/j.enbuild.2025.116814
- CERRA: Ridal, Martin, et al. "CERRA, the Copernicus European Regional Reanalysis system." Quarterly Journal of the Royal Meteorological Society (2024). https://doi.org/10.1002/qj.4764
- Zippenfenig, P. (2023). Open-Meteo.com Weather API [Computer software]. Zenodo. https://doi.org/10.5281/ZENODO.7970649
- Lamprecht, C. (n.d.). Meteostat API. https://meteostat.net/en/