Wildfire emissions can vary substantially between different inventories; due to the assumptions made in the emission creation process, including; the defined vegetation type, fire detection, fuel loading, fraction of; vegetation burned and emissions factors. Here, we focus on the; uncertainty in emission factors and the resulting impact on modeled; composition. We use the Community Atmosphere Model with chemistry; (CAM-chem) to simulate 2014 atmospheric composition and focus on carbon; monoxide (CO), a trace gas emitted from incomplete combustion and also; produced from secondary oxidation of volatile organic compounds (VOCs).; Fire is a major source of atmospheric CO and VOCs. Multiple simulations; are compared, from an ensemble using four fire emission inventories; (CMIP6/GFED4s, QFED2.5, GFAS1.2 and FINN1.5) and a range of sensitivity; tests based on CO and VOC emission factor uncertainties. We compare; model output and evaluate against CO observations from the Measurements; of Pollution in the Troposphere (MOPITT) satellite-based instrument. For; some regions, emission factor uncertainty spans the results found by; using different inventories. Finally, we use modeled ozone (O3) to; investigate how emission factor uncertainty influences the atmospheric; oxidative environment. Overall, accounting for emission factor; uncertainty lends a range of uncertainty to simulated results.
