TMY files for Norway based on CERRA data from 2006-2020
Authors/Creators
Description
This dataset includes TMY files for all municipalities in Norway, based on CERRA data from 1991-2020, and using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March). 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
- Overview of Error metrics - ZIP files containing plots of error metrics
- Error metrics mapped to a map of Norway, for visualization purposes
- 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. But based on the same code base as the repository TMY files for Norway based on CERRA data from 1991-2020 that was made in collaboration with The Norwegian Meteorological Office (MET).
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 data can be found at https://klimadataforbygninger.no/
When citing the data, please reference:
Thiis, Petersen, Fuglestvedt, Hygen (2025) "Typical Meteorological Years Tailored for High Latitudes Based on High-Resolution Reanalysis data ", Journal of Building Performance Simulation, DOI: 10.1080/19401493.2025.2573724
Files
Changelog.txt
Additional details
Related works
- Is described by
- Journal article: 10.1080/19401493.2025.2573724 (DOI)
- Is variant form of
- Dataset: 10.5281/zenodo.14779899 (DOI)
References
- Thiis, Petersen, Fuglestvedt, Hygen (2025) "Typical Meteorological Years Tailored for High Latitudes Based on High-Resolution Reanalysis data ", Journal of Building Performance Simulation, DOI: https://doi.org/10.1080/19401493.2025.2573724
- Fuglestvedt, Thiis, & Petersen "Typiske meteorologiske år - Klimadata til beregning av bygningers energibehov i Norge", 2025
- 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
- SunPoint: Rabault, J., et al. "Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps." arXiv preprint arXiv:2501.04381 (2025). https://doi.org/10.48550/arXiv.2501.04381
- seNorge: Lussana, Cristian, et al. "seNorge_2018, daily precipitation, and temperature datasets over Norway." Earth System Science Data 11.4 (2019): 1531-1551-1551.
- Wilcox, S, & Marion, W (2008). Users Manual for TMY3 Data Sets (Revised). https://doi.org/10.2172/928611