We present an integrated analysis of measurements from ozonesonde, ozone (O3) Differential Absorption Lidar (DIAL), ceilometer, surface monitors, and space-borne observations in conjunction with the regional chemical transport model Weather Research and Forecast Model with Chemistry (WRF-Chem) to investigate the effect of biomass burning emissions on the vertical distribution of ozone and aerosols during an episode of the 2016 Southeastern United States wildfires. The ceilometer and DIAL measurements capture the vertical extent of the smoke plumes affecting the surface and upper air over Huntsville, AL. The model evaluation results suggest a scaling factor of 3-4 for the wildfire aerosol emissions to better match observed aerosol optical depth (AOD), fine particulate matter (PM2.5), and DIAL aerosol extinction. We use the scaled emissions together with WRF-Chem tendency diagnostics to quantify the fire impacts and characterize the processes affecting the vertical ozone budget downstream of the wildfires. During the daytime at Huntsville on 12 and 13 November, we estimate that fire emissions contribute 12-32 μg/m3 (44-70%) to hourly surface PM2.5 and 7-8 ppb/10 hrs (30-37%) to the surface ozone increase (∆O3), respectively. Net chemical ozone production (PO3) is the main contributor to upper-air ozone, which reaches 17-19 ppb/10 hrs with 14-25% contribution from fire sources. Vertical mixing and advection are the major drivers of changes in surface ozone. Model analysis indicates that advection dominates fire-related ∆O3 below 1 km on 12 November, while local photochemistry dominates on 13 November. These results quantify the different mechanisms through which fires can influence the vertical ozone budget and point out uncertainties in fire inventories that need to be addressed in light of the increasing role of wildfires on air quality.