Using wind-measuring lidar wind profiler data and the wind profile exponent (WPE) method, we calculate the WPE within the 50-500 m height range under different surface wind conditions in this study. Then the results are validated using data from 50 meteorological stations with observation heights exceeding 40 m. The results indicate that the WPE retrieved from wind-measuring lidar has the problem of systematic overestimation, with the error magnitude closely related to the building density and height characteristics of the observation area. To address this issue, building density and building average height parameters on a 100 m×100 m grid are introduced to develop a multi-factor-driven dynamic correction algorithm for the WPE, which overcomes the limitation of traditional methods that rely solely on a single roughness parameter. After correction, 91.7% of the wind force calculation errors are confined within the range of 1 level, with 50.1% showing zero error. On this basis, a three-dimensional high-level wind field reconstruction model tailored for urban complex building environments is further developed. This model has a horizontal resolution of 100 m and vertical coverage from 50 to 500 m, enabling real-time monitoring every 5 min and forecast outputs up to 168 h. The model can provide a low-cost, high-precision wind disaster prevention and control technology pathway for urban high-level operations, having business application potential and engineering value.