The compilation of wind resource assessments and the implicit long-term correction ofwind measurements require comprehensive data sets. Commonly employed data sets forthis purpose are wind measurements from weather stations as well as SupervisoryControl and Data Acquisition (SCADA) data from existing wind farms. In addition,reanalysis data are a consistent data source. Reanalysis data are a combination ofmeteorological models with measurements of climatology parameters. To increase theperformance of reanalysis data the corresponding data sets are processed with mesoscalemodels. The present study determines the suitability of the readily accessible EMDConWxEurope Mesoscale Data (EMD-ConWx Data) for wind resource assessments.EMD-ConWx Data include hourly wind velocities at seven heights in the range of 10 mup to 200 m and have a spatial resolution of 3 x 3 km. EMD-ConWx Data are based onthe primary reanalysis data set ERA-Interim. The EMD-ConWx Data are compared toSonic Detecting and Ranging (Sodar) measurements at 22 sites in Germany regardingthe parameters wind speed, wind direction and wind speed frequency distribution. Inaddition, the statistical correlation (R) and linear regression (R²) are determined.It was found, that EMD-ConWx Data reveal a moderate accuracy for wind resourceassessments. The determined average wind speed bias of 1.02 m/s, the average rootmeans square error (RMSE) of 1.91 m/s, the average wind direction bias of -0.89° andthe monthly correlation indicate overall an adequate match with the Sodarmeasurements. However, these results entail considerable uncertainties and variances.To reduce these variances and the wind speed overestimation a height shift of 50 m forthe EMD-ConWx wind velocity heights is introduced. The comparison of the EMDConWxwind data at 50 m to Sodar measurements at 100 m leads to a significantreduction of the wind speed bias, but it improves neither the wind direction accuracy northe wind speed correlation. Overall, the EMD-ConWx Data are suitable for windresource assessments and the implicit long-term correction of wind data. The EMDConWxData with the height shift imply the advantage of a proper representation of thewind profile in relation to common reanalysis data, even at sites with complex terrain.