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Observational constraints to biomass burning (BB) NOx emissions as provided by satellite measurements of nitrogen dioxide (NO2) critically depend on quantitative assumptions regarding the atmospheric NOx lifetime. In this study, we investigated NOx emissions from the extreme wildfires that occurred in the European part of Russia in summer 2010 by using an original inverse modeling method that allowed us to avoid any a priori assumptions regarding the NOx lifetime. The method was applied to the tropospheric NO2 columns retrieved from the measurements performed by the OMI satellite instrument, while the relationship between BB NOx emissions and tropospheric NO2 columns was simulated with the CHIMERE mesoscale chemistry transport model. Our analysis indicated that this relationship depends strongly on BB emissions of volatile organic compounds and that a dependence of the effective NOx lifetime on the NOx fluxes can be essentially nonlinear. Our estimates of the total NOx emissions in the study region are found to be at least 40% larger compared to the respective data from the GFASv1.0 and GFED4.1s global fire emission inventories

Inverse Modeling of Nitrogen Oxides Emissions from the 2010 Russian Wildfires by Using Satellite Measurements of Nitrogen Dioxide