EMO-5: a high-resolution multi-variable gridded meteorological dataset for Europe
Earth system science data, vol. 14, pp. 3249–3272
Abstract
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).
Authors 12
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Vera Thiemig corresponding
European Commission · Joint Research Centre
Affiliation as printed
Joint Research Centre, European Commission, Ispra, 21027, Italy
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Goncalo Gomes corresponding
European Commission · Joint Research Centre
Affiliation as printed
Joint Research Centre, European Commission, Ispra, 21027, Italy
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European Commission · Joint Research Centre
Affiliation as printed
Joint Research Centre, European Commission, Ispra, 21027, Italy
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Affiliation as printed
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
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Affiliation as printed
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
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Elke Rustemeier corresponding
Affiliation as printed
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
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Affiliation as printed
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
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Jakub P. Walawender corresponding
Philipps University of Marburg · Deutscher Wetterdienst
Affiliation as printed
Faculty of Geography, Philipps University of Marburg, Marburg, 35032, Germany
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
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Christine Kolbe corresponding
Philipps University of Marburg · Deutscher Wetterdienst
Affiliation as printed
Faculty of Geography, Philipps University of Marburg, Marburg, 35032, Germany
Global Precipitation Climatology Centre, Deutscher Wetterdienst, Offenbach, 63067, Germany
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Affiliation as printed
Kisters France SAS, Rueil-Malmaison, 92500, France
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Affiliation as printed
Kisters AG, Aachen, 52076, Germany
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Peter Salamon corresponding
European Commission · Joint Research Centre
Affiliation as printed
Joint Research Centre, European Commission, Ispra, 21027, Italy
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