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

In this paper we present EMO-5 (“European Meteorological Observations”, spatial resolution of 5 km), a European high-resolution, (sub-)daily, multi-variable meteorological dataset built on historical and real-time observations obtained by integrating data from 18 964 ground weather stations, four hi...

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Bibliographic Details
Published in:	Earth system science data Vol. 14; no. 7; pp. 3249 - 3272
Main Authors:	Thiemig, Vera, Gomes, Goncalo N, Skøien, Jon O, Ziese, Markus, Rauthe-Schöch, Armin, Rustemeier, Elke, Rehfeldt, Kira, Walawender, Jakub P, Kolbe, Christine, Pichon, Damien, Schweim, Christoph, Salamon, Peter
Format:	Journal Article
Language:	English
Published:	Katlenburg-Lindau Copernicus GmbH 15-07-2022 Copernicus Publications
Subjects:	Data collection Datasets Ground stations Heavy precipitation High resolution Hydrologic data Hydrology Interpolation Interpolation methods Mean temperatures Meteorological observations Precipitation Precipitation data Quality control Radiation Real time Resolution Solar radiation Spatial discrimination Spatial resolution Temperature data Transparency (optical) Uncertainty Vapor pressure Vapour pressure Variables Water vapor Water vapour Weather Weather stations Wind speed Poland Europe Spain
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Summary:	In this paper we present EMO-5 (“European Meteorological Observations”, spatial resolution of 5 km), a European high-resolution, (sub-)daily, multi-variable meteorological dataset 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), and one global reanalysis (ERA-Interim/Land). EMO-5 includes the following at daily resolution: total precipitation, temperatures (minimum and maximum), wind speed, solar radiation, and water vapour pressure. In addition, EMO-5 also makes available 6-hourly precipitation and mean temperature data. 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 5×5 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 datasets (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 dataset. The availability of the uncertainty fields increases the transparency of the dataset and hence the possible usage. EMO-5 (version 1) covers the time period from 1990 to 2019, with a near real-time release of the latest gridded observations foreseen with version 2. As a product of Copernicus, the EU's Earth Observation Programme, the EMO-5 dataset is free and open, and can be accessed at https://doi.org/10.2905/0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26 (Thiemig et al., 2020).
ISSN:	1866-3516 1866-3508 1866-3516
DOI:	10.5194/essd-14-3249-2022