Abstract
The important improvements in the quality of space-born tropospheric trace gas estimates have permitted their use, in combination with inverse atmospheric modelling, to obtain evolved top-down pollutant emission estimates. In this study, inverse modeling is applied to the case of tropospheric nitrogen dioxide (NO2) columns as seen by the OMI/Aura instrument and estimated by the Comprehensive Air Quality Model with extensions (CAMx). The main idea is to use the a priori information from the bottom up emission inventory used in the CAMx model, the tropospheric NO2 quantities estimated by the CAMx runs and the tropospheric NO2 columns deduced by the satellite observations to create an a posteriori NOx emission inventory. This new inventory, constrained in the top-down manner by the satellite estimates, can be used anew in the CAMx model to produce a new modeled NOx product. This work has identified biases in the original emission inventory for instance due to missing emission sources or over-estimation of the spread of emission sources and has proved an improved bottom-up emissions inventory.
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