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The capability of global chemistry and transport models (CTMs) to simulateatmospheric composition and its spatial and temporal changes highly relieson the input data used by the models, in particular the emissioninventories. Biomass burning emissions show large spatial, diurnal, seasonaland year-to-year variability. In the present study, we applied a global 3-DCTM to evaluate uncertainties in the computed atmospheric compositionassociated with the use of different biomass burning emissions and identifyareas where observational data can help to reduce these uncertainties. Wefind the emission inventory choice to lead to regional differences in thecalculated load of aerosols up to a factor of 4. Assumptions on theinjection height of the biomass burning emissions are found to produceregionally up to 30% differences in the calculated tropospheric lifetimesof pollutants. Computed changes in lifetimes point to a strong chemicalfeedback mechanism between emissions from biomass burning and isopreneemissions from vegetation that are linked via NO<sub>x</sub>-driven oxidantchemistry, NO<sub>x</sub>-dependent changes in isoprene oxidation products,aerosol emissions and atmospheric transport. These interactions reduceisoprene load in the presence of biomass burning emissions by 15%,calculated for the same amount of isoprene emitted into the troposphere.Thus, isoprene load and lifetime are inversely related to the quantities ofpollutants emitted by biomass burning. These interactions are shown to be able toincrease the global annual secondary aerosol yield from isoprene emissions,defined as the ratio of tropospheric loads of secondary aerosol fromisoprene oxidation to isoprene emissions, by up to 18%

Sensitivity of tropospheric loads and lifetimes of short lived pollutants to fire emissions