In order to evaluate the impact of spaceborne lidar product data assimilation on typhoon forecast, this paper studied the assimilation of Aeolus Horizontal line-of-sight data and its impact on typhoon forecast for Typhoon Hagupit in 2020 and Typhoon Lekima in 2019. First, we conducted statistical test and deviation correction on Aeolus products and used the statistical root meean square error of each hight layer as the observation error for the assimilation. Then, Aeolus products were assimilated by WRFDA (Weather Research and Forecast Model Data Assimilation) model, and the prediction test was carried out by WRF (Weather Research and Forecast Model) model. The experiment results show that the Aeolus products are highly accurate, the observation error of each layer after correction is in the range of 3-5 m/s and increases with the increase of height. The corrected data meet the unbiased assumption of three-dimensional variational assimilation. Assimilating Aeolus products during Typhoon Hagupit and Typhoon Lekima can make the model show more reasonable circulation patter and effectively improve the track and intensity forecast of typhoon Hagupit and Lekima.