EMO-5: A high-resolution multi-variable gridded meteorological data set 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 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. 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, EMO-5 dataset is free and open.

THIEMIG Vera;  RAMOS GOMES Goncalo;  SKOIEN Jon;  ZIESE Markus;  RAUTHE-SCHÖCH Armin;  RUSTEMEIER Elke;  REHFELDT Kira;  WALAWENDER Jakub;  KOLBE Christine;  PICHON Damien;  SCHWEIM Christoph;  SALAMON Peter; 

2022-09-07

COPERNICUS GESELLSCHAFT MBH

JRC126744

1866-3508 (online),   

https://essd.copernicus.org/articles/14/3249/2022/,    https://publications.jrc.ec.europa.eu/repository/handle/JRC126744,   

10.5194/essd-14-3249-2022 (online),