Wind energy originates from atmospheric motion and has great randomness and intermittence. Wind speed prediction is the basis of wind power prediction in wind farms, and its accuracy is of great significance. For complex terrain conditions, the wind speed prediction has always been the difficulty and focus of research in various countries. Hence, in this paper, SRTM3 DEM high-precision terrain data is introduced to improve the accuracy of WRF model wind speed prediction which replaces the existing GTOPO30 DEM data of the WRF model system. Then from the perspective of terrain features, main wind direction of the study area, etc. it determines whether to introduce high-precision topographic data into the study area. The results demonstrate that, compared with the original GTOPO30 data of the WRF model, SRTM3 DEM high-precision topographic data can more accurately reflect the topographic fluctuation characteristics of the wind farm simulation area, and more close to the real terrain. However, the wind speed simulation effect of SRTM3 DEM high-precision topographic data is different for different measuring points. For research areas where the terrain is relatively complex and the wind speed is greatly affected by the surrounding terrain, the introduction of high-precision SRTM3 data improves the wind speed simulation accuracy of the WRF model.

风能源于大气运动，具有很大的随机性和间歇性。风速预测是风电场风能预测的基础，其准确性具有重要意义。对于复杂的地形条件，风速预测一直是各国研究的难点和重点。因此，在本文中，引入了SRTM3 DEM高精度地形数据以提高WRF模型风速预测的准确性，从而替代了WRF模型系统的现有GTOPO30 DEM数据。然后从地形特征，研究区域的主要风向等角度，确定是否将高精度地形数据引入研究区域。结果表明，与WRF模型的原始GTOPO30数据相比，SRTM3 DEM高精度地形数据可以更准确地反映风电场模拟区域的地形起伏特征，并且更接近真实地形。但是，SRTM3 DEM高精度地形数据的风速模拟效果对于不同的测量点是不同的。对于地形相对复杂且风速受周围地形影响很大的研究区域，高精度SRTM3数据的引入提高了WRF模型的风速模拟精度。