Accurate simulation of prescribed fires under various meteorological conditions and ignition patterns is critical for fire managers to develop strategies that reduce the air quality impacts of planned burns. However, making such informed decisions requires a modeling system capable of predicting both fire behavior and its resulting air quality impacts, which is currently lacking. To address this gap, we designed and developed a coupling algorithm that integrates a fire behavior model with a chemical transport model. The coupled model uses plume dynamics provided by the fire behavior model and accounts for pollutant chemistry evolution using the chemical transport model.