<p>Spatial and temporal characteristics of simulated wind &#64257;elds - stemming from the high-resolution weather model WRF with boundary conditions from ERA5 reanalysis data had been validated against the respective data stemming from measurements regarding annual characteristics as reported by [1]. As one result, the tendency of the WRF sets showed some overestimation of the coherency and underestimation of the power spectral density (PSD).</p><p>Here, this investigation is deepened to look on the capability of the modelled data to reflect the variability of the PSD and coherencies of the wind speed fluctuations on a monthly and seasonal (three- monthly) scale.</p><p>The intra annual variation of the PSD and the coherence functions are well captured by the WRF-generated wind speeds. &#160;No seasonal dependency can be detected for the underestimation of the spectra from the modelled data. The shape can well be modelled by the approach of [Lars&#233;n et al., 2013].&#160; Concerning the coherences, the tendency of an overestimation as detected in the analysis of annual sets, shows up in the seasonal scale in similar magnitude, reflecting a systematic shortcoming of the simulated sets to reflect the spatial inhomogeneity of the field.</p><p>[1] Poulsen, T, Beyer, H.G., Cross spectral characteristics of&#160; modelled and measured sets of spatially distributed wind in the Faroe Islands, poster presentation&#160; EGU 2020 (2020)</p><p>[2] Lars&#233;n, X., Vincent, C., and Larsen, S. (2013). Spectral structure of mesoscale wind over the water. Quarterly Journal of the Royal Meteorological Society, 139:685&#8211;700. (2013)</p>