<p>In this paper, an urban wind environment generation model for a urban air mobility (UAM) flight risk assessment was proposed. Resolution of small-scale turbulence, reflection of actual weather conditions, and representation of the influence of urban topography were considered as requirements of the wind environment for the UAM. To generate the wind environment satisfying these requirements, Large Eddy Simulation (LES) was coupled with a mesoscale weather prediction model. Since the LES and the weather prediction model have different resolutions, a nesting algorithm was employed to mitigate this large resolution disparity. In addition, complex urban topography was reconstructed from a digital elevation model and building data. This data was applied to the LES for the representation of building-induced turbulence. Using the proposed wind environment generation model, a wind environment near the Gangnam COEX was calculated to check whether the model satisfies the three requirements. Furthermore, it was confirmed that the nesting algorithm effectively implemented the effect of buildings outside the computation area.</p>