The Geosynchronous interferometric infrared sounder (GIIRS) onboard the Fengyun-4A (FY-4A) is the first geostationary hyperspectral infrared detector.It can provide continuous three-dimensional observations of atmospheric water vapor, and the atmospheric horizontal wind field at different heights can be retrieved by tracking the movement of water vapor. In this study, GIIRS data from FY-4A encrypted observations (30-minute intervals) during Typhoon Maria (2018) were used to carry out 3D horizontal wind field algorithm research in clear sky and partially cloud area, with the focus on how to improve the 3D wind field retrieval from partially cloud filled GIIRS footprints by combining with the Advanced Geostationary Radiation Imager (AGRI) of the same satellite platform. ERA5 independent test dataset, CRA40 analysis and radiosonde data were used to verify the 3D wind field retrieval results in clear sky and partially cloud area. The results indicated that: (1) the tropospheric wind field could be obtained from GIIRS brightness temperature measurements. In the clear skies, RMSE was less than 1.5m/s, and the absolute direction difference between retrieval and reference data was about 15°; under some clear skies, RMSE was 1.5~1.7m/s, and the absolute direction difference was about 20°. Compared with the traditional optical flow method, GIIRS brightness temperature based direct retrieval shows better accuracy with RMSE and direction absolute difference smaller than those from optical flow method. (2) When subdivided byScloud coverage (CC) and cloud-top pressure (CTP), it is shown that the more cloud cover and cloud top height, the greater RMSE. When CC and CTP are added to GIIRS brightness temperature based 3D wind retrieval, RMSE decreases, indicating that higher spatial resolution AGRI products can improve wind field retrieval accuracy in some cloud covered areas. (3) The wind profile retrieval from GIIRS brightness temperatures is consistent with the WIND profile of CRA40 analysis and dropsonde data, indicating the feasibility of deriving 3D wind from geostationary hyperspectral infrared brightness temperature measurements.