EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

EMO-5: Copernicus pan-European high-resolution meteorological data set for large-scale hydrological modelling

Vera Thiemig1, Peter Salamon1, Goncalo N. Gomes1, Jon O. Skøien1, Markus Ziese2, Armin Rauthe-Schöch2, Kira Rehfeldt2, Damien Pichon4, and Christoph Schweim3
Vera Thiemig et al.
  • 1European Commission, Joint Research Centre, Disaster Risk Management, Italy (
  • 2Deutscher Wetterdienst, Global Precipitation Climatology Centre, Offenbach, 63067, Germany
  • 3Kisters AG, Aachen, 52076, Germany
  • 4Kisters France SAS, Chatou, 78400, France

We present EMO-5, a Pan-European high-resolution (5 km), (sub-)daily, multi-variable meteorological data set especially developed to the needs of an operational, pan-European hydrological service (EFAS; European Flood Awareness System). The data set is built on historic and real-time observations coming from 18,964 meteorological in-situ stations, collected from 24 data providers, and 10,632 virtual stations from four high-resolution regional observational grids (CombiPrecip, ZAMG - INCA, EURO4M-APGD and CarpatClim) as well as one global reanalysis product (ERA-Interim-land). This multi-variable data set covers precipitation, temperature (average, min and max), wind speed, solar radiation and vapor pressure; all at daily resolution and in addition 6-hourly resolution for precipitation and average temperature. The original observations were thoroughly quality controlled before we used the Spheremap interpolation method to estimate the variable values for each of the 5 x 5 km grid cells and their affiliated uncertainty. EMO-5 v1 grids covering the time period from 1990 till 2019 will be released as a free and open Copernicus product mid-2020 (with a near real-time release of the latest gridded observations in future). We would like to present the great potential EMO-5 holds for the hydrological modelling community.


footnote: EMO = European Meteorological Observations

How to cite: Thiemig, V., Salamon, P., Gomes, G. N., Skøien, J. O., Ziese, M., Rauthe-Schöch, A., Rehfeldt, K., Pichon, D., and Schweim, C.: EMO-5: Copernicus pan-European high-resolution meteorological data set for large-scale hydrological modelling, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-21551,, 2020