Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3249-2022
https://doi.org/10.5194/essd-14-3249-2022
Data description paper
 | 
15 Jul 2022
Data description paper |  | 15 Jul 2022

EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe

Vera Thiemig, Goncalo N. Gomes, Jon O. Skøien, Markus Ziese, Armin Rauthe-Schöch, Elke Rustemeier, Kira Rehfeldt, Jakub P. Walawender, Christine Kolbe, Damien Pichon, Christoph Schweim, and Peter Salamon

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

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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.
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