This research describes the impact of assimilating CWP into the NEWS-e during realtime operations conducted during the spring 2016 Hazardous Weather Testbed (HWT) in Norman, OK. Between April and June 2016, forecasts were generated for over a dozen severe weather events that encompass multiple environments and storm modes. This research assesses the overall positive and negative impacts of assimilating CWP during the HWT compared to a parallel set of experiments run that only assimilate radar reflectivity and radial velocity. Initial results indicate an improvement in the analysis of cloud properties which leads into improvements in the analysis and forecasts of thermodynamic parameters such as surface temperature and incoming solar radiation. Assimilating CWP also led to quicker convective initiation (CI) within the model in several instances. Improvements in the near-storm environment coupled with quicker CI led to better forecasts of rotating convection during the early phases of several severe weather events.