doi:10.5194/acp-10-9797-2010

doi:10.5194/acp-11-11591-2011

Abstract. We investigate the spatial and temporal distribu-tion of hydrogen cyanide (HCN) in the upper troposphere through numerical simulations and comparison with obser-vations from a space-based instrument. To perform the sim-ulations, we used the Global Environmental Multiscale Air Quality model (GEM-AQ), which is based on the three-dimensional global multiscale model developed by the Me-teorological Service of Canada for operational weather fore-casting. The model was run for the period 2004–2006 on a 1.5◦×1.5 ◦ global grid with 28 hybrid vertical levels from the surface up to 10 hPa. Objective analysis data from the Cana-dian Meteorological Centre were used to update the meteoro-logical fields every 24 h. Fire emission fluxes of gas species were generated by using year-specific inventories of carbon emissions with 8-day temporal resolution from the Global

Interactive comment on “Mega fire emissions in Siberia: potential supply of soluble iron from forests to the ocean ” by A. Ito A. Ito

Abstract. Biomass burning emission inventories serve as critical input for atmospheric chemical transport models that are used to understand the role of biomass fires in the chem-ical composition of the atmosphere, air quality, and the cli-mate system. Significant progress has been achieved in the development of regional and global biomass burning emis-sion inventories over the past decade using satellite remote sensing technology for fire detection and burned area map-ping. However, agreement among biomass burning emis-sion inventories is frequently poor. Furthermore, the un-certainties of the emission estimates are typically not well characterized, particularly at the spatio-temporal scales per-tinent to regional air quality modeling. We present the Wildland Fire Emission Inventory (WFEI), a high resolution model for non-agricultural open biomass burning (hereafter