University of Toronto|Université de Toronto

Purpose

Air pollution regulations have led to dramatic reductions in emissions of CO and NOx, but studies using atmospheric observations to quantify these reductions produce a wide range of emission estimates. The proposed project will use a multi-model and multi-sensor approach to quantify potential sources of discrepancies that contribute to uncertainty in the emission estimates. The project will focus on using space-based measurements to better quantify emissions of CO globally and of NOx in North America. Improved estimates of the emissions of CO and NOx are critical for assessing the effectiveness of air pollution regulations.