Atmospheric motion vectors (AMVs) can supply plenty of useful information for numerical weather prediction. With the launch of the Chinese next generation geostationary meteorological satellite FY-4A in December 2016, it is necessary to evaluate the quality of FY-4A AMVs for the analysis field and precipitation forecast by GRAPES of CMA. In this study, by comparing with the background field based on NCEP FNL data, the qualities of FY-4A AMVs were assessed, and the results suggested that the distribution of FY-4A is stable and the quality of FY-4A infrared AMVs is better than FY-4A water vapor AMVs. Based on GRAPES_RAFS, three numerical experiments were conducted to examine the impact on analysis and forecast for severe Typhoon Hato at 0000 UTC 23 August 2017. The findings showed that assimilating FY-4A AMVs, especially FY-4A water vapor AMVs, has certain adjusting effect on wind and height analysis fields. Furthermore, due to the improvement of the initial fields for the model prediction, the performance of the precipitaion forecast was improved. Conclusively, the FY-4A AMVs have positive impact on analysis field and precipitation forecast of GRAPES.