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EMO: A high-resolution multi-variable gridded meteorological data set for Europe

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EMO (European Meteorological Observations) is a European high-resolution, (sub-)daily, multi-variable gridded meteorological data set built on historical and real-time observations. EMO is a Copernicus Emergency Management Service product and includes at daily resolution: total precipitation, temperatures (minimum and maximum), wind speed, solar radiation and water vapour pressure. In addition, EMO also makes available 6-hourly precipitation and mean temperature. The raw observations from the ground weather stations underwent a set of quality controls, before the Angular Distance Weighted interpolation method was applied to estimate the variable value for each 1.82x1.82 km grid cell. Further information on the methods used can be found in the below scientific publication of the dataset. Currently, EMO is available in two spatial resolutions:

EMO-5 provides grids with a spatial resolution of 5kmx5km and covers the time period from 1990 to 2019. Note that EMO-5 is not supported anymore (i.e. no updates or bug-fixes are introduced) and we recommend to use EMO-1.

EMO-1 provides grids with a spatial resolution of 1arcminx1arcmin (approx. 1.8km) and covers the time period from 1990-2023. The latest version of EMO-1 is v3.0.0.

Contributors

Carina-Denise Lemke; Carlo Russo; Christoph Schweim; Goncalo Gomes; Marco Radke-Fretz; Markus Ziese; Peter Salamon; Stefania Grimaldi; Tim Sperzel

How to cite

Salamon, Peter; Ramos Gomes, Gonçalo Nuno; Sperzel, Tim; Radke-Fretz, Marco; Schweim, Christoph; Ziese, Markus; Lemke, Carina-Denise; Russo, Carlo; Grimaldi, Stefania (2026): EMO: A high-resolution multi-variable gridded meteorological data set for Europe. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.9D3F64R; 10.2905/0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26 PID: http://data.europa.eu/89h/0bd84be4-cec8-4180-97a6-8b3adaac4d26

Data access

EMO-1 (1990 - 2023)
NetCDF

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access and sharing of array-oriented scientific data.
Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Distribution of the dataset of European Meteorological Observations with spatial resolution of 1 arcmin

EMO-5 (1990-2019)
NetCDF

NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access and sharing of array-oriented scientific data.
Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

  • Distribution of the dataset of European Meteorological Observations with spatial resolution of 5 km

Publications

Publication
EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe
Thiemig, V., Gomes, G. N., Skøien, J. O., Ziese, M., Rauthe-Schöch, A., Rustemeier, E., Rehfeldt, K., Walawender, J. P., Kolbe, C., Pichon, D., Schweim, C., and Salamon, P.: EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe, Earth Syst. Sci. Data, 14, 3249–3272, https://doi.org/10.5194/essd-14-3249-2022, 2022
Publication
The CEMS Meteorological Data Collection Centre Annual Report 2023
European Commission: Joint Research Centre, Lemke, C.-D., Sperzel, T., Radke-Fretz, M., Schweim, C., Ziese, M., Gomes, G., Grimaldi, S. and Salamon, P., The CEMS Meteorological Data Collection Centre Annual Report 2023, Publications Office of the European Union, Luxembourg, 2025, https://data.europa.eu/doi/10.2760/7720039, JRC140025.

Spatial coverage

Temporal coverage

From date To date
1990-01-01 2023-12-31

Additional information

Published by
European Commission, Joint Research Centre
Contact email
Peter.SALAMON (at) ec.europa.eu
Update frequency
annual

The event occurs once a year.

Data theme(s)
Environment

dataset theme covering the domain of environment, defined as the interaction of all living species, climate, weather, and natural resources that impact human survival and economic activity
Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Issued date
2025-07-09
Created date
29 Oct 2021 10:21
Modified date
09 Jul 2025 08:58
Dataset identifier
http://data.europa.eu/89h/0bd84be4-cec8-4180-97a6-8b3adaac4d26
Other identifiers
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