29 Nov 2021

29 Nov 2021

Review status: this preprint is currently under review for the journal ESSD.

EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe

Vera Thiemig1, Goncalo N. Gomes1, Jon O. Skøien1, Markus Ziese2, Armin Rauthe-Schöch2, Elke Rustemeier2, Kira Rehfeldt2, Jakub P. Walawender2,5, Christine Kolbe2,5, Damien Pichon3, Christoph Schweim4, and Peter Salamon1 Vera Thiemig et al.
  • 1European Commission, Joint Research Centre, Ispra, 21027, Italy
  • 2Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
  • 3Kisters France SAS, Rueil-Malmaison, 92500, France
  • 4Kisters AG, Aachen, 52076, Germany
  • 5Faculty of Geography, Philipps University of Marburg, Marburg, 35032, Germany

Abstract. In this paper we present EMO-51, a European high-resolution, (sub-)daily, multi-variable meteorological data set built on historical and real-time observations obtained by integrating data from 18,964 ground weather stations, four high-resolution regional observational grids (i.e. CombiPrecip, ZAMG - INCA, EURO4M-APGD and CarpatClim) as well as one global reanalysis (ERA-Interim/Land). EMO-5 includes at daily resolution: total precipitation, temperatures (mean, minimum and maximum), wind speed, solar radiation and water vapour pressure. In addition, EMO-5 also makes available 6-hourly precipitation and mean temperature. The raw observations from the ground weather stations underwent a set of quality controls, before SPHEREMAP and Yamamoto interpolation methods were applied in order to estimate for each 5 x 5 km grid cell the variable value and its affiliated uncertainty, respectively. The quality of the EMO-5 precipitation data was evaluated through (1) comparison with two regional high resolution data sets (i.e. seNorge2 and seNorge2018), (2) analysis of 15 heavy precipitation events, and (3) examination of the interpolation uncertainty. Results show that EMO-5 successfully captured 80 % of the heavy precipitation events, and that it is of comparable quality to a regional high resolution data set. The availability of the uncertainty fields increases the transparency of the data set and hence the possible usage. EMO-5 (release 1) covers the time period from 1990 to 2019, with a near real-time release of the latest gridded observations foreseen soon. As a product of Copernicus, the EU's Earth observation programme, EMO-5 dataset is free and open, and can be accessed at (Thiemig et al., 2021).

1 EMO stands for “European Meteorological Observations”, whereas the 5 denotes the spatial resolution of 5 km.

Vera Thiemig et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2021-339', Peter Burek, 17 Dec 2021
    • AC1: 'Reply on CC1', Vera Thiemig, 03 Jan 2022
  • RC1: 'Comment on essd-2021-339', Anonymous Referee #1, 03 Jan 2022
  • RC2: 'Comment on essd-2021-339', Anonymous Referee #2, 07 Jan 2022

Vera Thiemig et al.

Data sets

EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe (1990-2019) Thiemig, Vera; Ramos Gomes, Gonçalo Nuno; Skøien, Jon Olav; Ziese, Markus; Rauthe-Schöch, Armin; Rustemeier, Elke; Rehfeldt, Kira; Walawender, Jakub; Kolbe, Christine; Pichon, Damien; Schweim, Christoph; Salamon, Peter

Vera Thiemig et al.


Total article views: 581 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
451 116 14 581 4 8
  • HTML: 451
  • PDF: 116
  • XML: 14
  • Total: 581
  • BibTeX: 4
  • EndNote: 8
Views and downloads (calculated since 29 Nov 2021)
Cumulative views and downloads (calculated since 29 Nov 2021)

Viewed (geographical distribution)

Total article views: 576 (including HTML, PDF, and XML) Thereof 576 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 28 Jan 2022
Short summary
EMO-5 is a European high-resolution, sub-daily, multi-variable, multi-decadal meteorological data set based on quality-controlled observations coming from almost 30,000 stations across Europe, and is produced in near real-time. EMO-5 covers the time period from 1990 to 2019. In this paper we have provided insight into the source data, the applied methods and the quality assessment of EMO-5.