This study evaluates a numerical weather prediction model as a tool for wind resource assessment in complex terrain and how the simulations are affected by the selection of initial and boundary conditions and various grid resolutions. Two global reanalyses, ERA-Interim and ERA5, and four grid resolutions, 27 km, 9 km, 3 km and 1 km, have been considered. The simulations have been compared to hub-height wind measurements. The ERA5 forced simulations were found to provide improved wind speed results. The simulations show clear improvements in terms of lower error when the grid spacing is reduced from 27 km via 9 km to 3 km. From 3 km to 1 km, the error is not further reduced. However, the 1 km simulations tend to better reproduce the mean wind features and show defined areas with higher and lower wind speeds, providing useful information for wind resource mapping in complex terrain.

本研究评估了数值天气预报模型作为复杂地形中风资源评估的工具，以及模拟如何受到初始和边界条件的选择以及各种网格分辨率的影响。已经考虑了两个全球再分析，ERA-Interim 和 ERA5，以及四个网格分辨率，27 公里、9 公里、3 公里和 1 公里。模拟已与轮毂高度风测量进行了比较。ERA5 强制模拟被发现提供了改进的风速结果。当网格间距从 27 公里经 9 公里减少到 3 公里时，模拟显示在较低误差方面有明显改善。从3公里到1公里，误差没有进一步降低。然而，1 公里的模拟倾向于更好地再现平均风特征并显示具有更高和更低风速的定义区域，