One potential solution to this problem is to also assimilate clear-sky satellite radiances, which provide information on mid- and upper-tropospheric temperature and moisture conditions. This research assimilates GOES-13 imager water vapor band radiances using the GSI-EnKF system to take advantage of the Community Radiative Transfer Model (CRTM) integration. The GOES-13 water vapor band is sensitive to the mid- and upper-tropospheric water vapor content and when assimilated, can adjust the model environment to better correspond to observed conditions. We assimilated water vapor radiances for 4 case study events that occurred during May 2016. Results showed that assimilating these radiances generally had the correct impact on the model environment, reducing humidity errors at the appropriate model levels where verification observations were present. The impact on high impact weather forecasts, as verified against forecast reflectivity and updraft helicity, were mixed. Two cases (9 and 22 May) showed some improvement in skill while the other two (24 and 25 May) were inconclusive, despite the latter’s significantly improved environment. This research represents the first step in designing a high-resolution ensemble data assimilation system to use GOES-16 Advanced Baseline Imager data, which provides three water vapor bands and will have greater potential to improve the model environment and high impact weather forecasts.