Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3249-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3249-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
15 Jul 2022
Data description paper |
| 15 Jul 2022
| 15 Jul 2022
EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe
Vera Thiemig
Joint Research Centre, European Commission, Ispra, 21027, Italy
Goncalo N. Gomes
Joint Research Centre, European Commission, Ispra, 21027, Italy
Jon O. Skøien
Joint Research Centre, European Commission, Ispra, 21027, Italy
Markus Ziese
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Armin Rauthe-Schöch
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Elke Rustemeier
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Kira Rehfeldt
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Jakub P. Walawender
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Faculty of Geography, Philipps University of Marburg, Marburg, 35032,
Germany
Christine Kolbe
Global Precipitation Climatology Centre, Deutscher Wetterdienst,
Offenbach, 63067, Germany
Faculty of Geography, Philipps University of Marburg, Marburg, 35032,
Germany
Damien Pichon
Kisters France SAS, Rueil-Malmaison, 92500, France
Christoph Schweim
Kisters AG, Aachen, 52076, Germany
Joint Research Centre, European Commission, Ispra, 21027, Italy
Data sets
EMO-5: A high-resolution multi-variable gridded meteorological data set for Europe (1990-2019) Vera Thiemig, Gonçalo Nuno Ramos Gomes, Jon Olav Skøien, Markus Ziese, Armin Rauthe-Schöch, Elke Rustemeier, Kira Rehfeldt, Jakub Walawender, Christine Kolbe, Damien Pichon, Christoph Schweim, and Peter Salamon https://doi.org/10.2905/0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26
Short summary
EMO-5 is a free and open European high-resolution (5 km), sub-daily, multi-variable (precipitation, temperatures, wind speed, solar radiation, vapour pressure), multi-decadal meteorological dataset based on quality-controlled observations coming from almost 30 000 stations across Europe, and is produced in near real-time. EMO-5 (v1) 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.
EMO-5 is a free and open European high-resolution (5 km), sub-daily, multi-variable...
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