A Global Wildfire Emission and Atmospheric Composition: Refinement of the Integrated System for Wild-Land Fires IS4FIRES
The current study intends to evaluate the fire emission estimates obtained from IS4FIRES v1.5. The system provides spatially and temporally resolved emission fluxes originated from wild-land fires. The emissions were obtained by utilising remote-sensing products of MODIS and SEVIRI instruments: TA and FRP. The primary scaling is based on emission factors for PM2.5 determined for seven land-use types: grass, crop residue, shrub, tropical, temperate and boreal forest, and peat. The PM2.5 emission fluxes can be converted to total PM and gaseous species using literature-reported scaling factors.
To evaluate the system, the fire emission fluxes were used as input to the SILAM model, which evaluated the dispersion and transformation of the released smoke. The observational datasets included AOD observations from MODIS. To facilitate the comparison and estimate the contribution from fires to AOD, SILAM inorganic chemistry calculated formation of secondary inorganic aerosol. Primary PM emissions from anthropogenic and natural sources were also included.
The model-measurement comparison showed that spatial and temporal distributions of the fire smoke are well reproduced. Nevertheless, the smoke from fires occurring in central Africa and South America are overestimated, and fires occurring in areas where peat and crop are dominant are underestimated. The optimization of the system, in general, results on a reduction of the emission coefficients, with exception of peat and crop, as expected; it reduces emission substantially especially for the areas where tropical and grass are dominating and fires tend to be very intense (Africa). Nevertheless, in some cases reduction seems to be counterproductive, emissions are heavily reduced.
KeywordsEmission Factor Emission Coefficient Emission Flux Aerosol Optical Thickness Fire Emission
The study has been funded by the Academy of Finland, project IS4FIRES.
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