This unique and high-resolution dataset, positioned in a relatively data-sparse region near the surface, can be further exploited through data assimilation. Experimental versions of the High Resolution Rapid Refresh Ensemble (HRRRE) run at the Global Systems Division of NOAA ESRL are being utilized to investigate the utility of StickNet observations in surface data assimilation during four intensive observing periods of VORTEX-SE. Retrospective simulations are completed that both include and withhold hourly 1-min averaged bias-corrected StickNet observations of temperature, specific , and pressure to evaluate their influence on ensemble analyses and forecasts. Generally, StickNet observations are seen to induce coherent analysis increments of near-surface thermodynamics in early assimilation cycles, which quickly evolve nonlinearly as cycling continues. Forecasts of updraft helicity and reflectivity show improvements when StickNet observations are included for some IOPs, and degradation for other events. These discrepancies in forecast improvement, along with details regarding assimilation and forecast increments, will be discussed in the broader context of mesoscale data assimilation in the southeast United States towards improved forecasts of deep convection.