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

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, CarpatClim), one global reanalysis (ERA-Interim/Land). includes the following at daily resolution: total precipitation, temperatures (minimum maximum), wind speed, solar radiation, water vapour pressure. addition, also makes available 6-hourly precipitation mean temperature data. The raw stations underwent set quality controls before SPHEREMAP Yamamoto interpolation methods were applied in order to estimate for each 5×5 km grid cell variable value its affiliated uncertainty, respectively. was evaluated through (1) comparison with two datasets seNorge2 seNorge2018), (2) analysis 15 heavy events, (3) examination uncertainty. Results show that successfully captured 80 % it is comparable dataset. availability uncertainty fields increases transparency hence possible usage. (version 1) covers time period 1990 2019, near release latest gridded foreseen version 2. As product Copernicus, EU's Earth Observation Programme, free open, can be accessed https://doi.org/10.2905/0BD84BE4-CEC8-4180-97A6-8B3ADAAC4D26 (Thiemig et al., 2020).