Articles | Volume 20
23 Aug 2023
 | 23 Aug 2023

Recent improvements in the E-OBS gridded data set for daily mean wind speed over Europe in the period 1980–2021

Jouke H. S. de Baar, Linh Nhat Luu, Gerard van der Schrier, Else J. M. van den Besselaar, and Irene Garcia-Marti

Related authors

Spatial regression of multi-fidelity meteorological observations using a proxy-based measurement error model
Jouke H. S. de Baar, Irene Garcia-Marti, and Gerard van der Schrier
Adv. Sci. Res., 20, 49–53,,, 2023
Short summary

Cited articles

Brinckmann, S., Krähenmann, S., and Bissolli, P., High-resolution daily gridded data sets of air temperature and wind speed for Europe, Earth Syst. Sci. Data, 8, 491–516,, 2016. a
Copernicus Climate Change Service, Climate Data Store: E-OBS daily gridded meteorological data for Europe from 1950 to present derived from in-situ observations, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set],, 2020. a
Cornes, R. C., van der Schrier, G., van den Besselaar, E. J., and Jones, P. D.: An ensemble version of the E‐OBS temperature and precipitation data sets, J. Geophys. Res.-Atmos., 123, 9391–9409,, 2018. a
Crameri, F.: Scientific colour maps, Zenodo [code],, 2018. 
de Baar, J., de Valk, C., and van der Schrier, G.: Ensemble dispersion improvement auto-tune (EDIT), a generic post processing step for Machine Learning regression results with quantified uncertainty, EMS Annual Meeting 2022, Bonn, Germany, 5–9 September 2022, EMS2022-413,, 2022. a
Short summary
In this work, we present the most recent updates in the E-OBS gridded data set for daily mean wind speed over Europe. The data set is provided as an ensemble of equally likely realisations. In addition, we make a preliminary study into possible causes of the observed terrestrial wind stilling effect, such as local changes in surface roughness length. As one of the results, we do observe a terrestrial wind stilling effect, however, the trend varies locally over Europe.