The need for the next generation of smoke research and forecast systems is urgent to address concerns associated with prescribed and wildfire emissions. Air pollution, as aerosols and gas-phase, produced by biomass burning can be transported near the fire source or thousands of kilometers away. Horizontal advection of smoke has been better characterized, by observations and models, than the vertical distribution due to challenges of sampling and modeling the atmosphere aloft. This session invites research projects related to observations, chemical transport, and statistical models, as well as satellite and sensor (UAS, lidar, radar, wearable tech, low cost) retrievals addressing the investigation of vertical and horizontal smoke transport from local to regional scales, with explicit linkages to improve domestic and international smoke forecasting. Additionally, uncertainties in smoke modeling and characterization further exacerbates incorrect spatiotemporal and source characterization for exposure misclassification. Therefore, research that improves smoke exposure misclassification is relevant.