Accurate information on emissions related to air quality and climate change is becoming increasingly important for both policy makers and the atmospheric composition research community. Knowledge on the magnitude, type of activity, time evolution and spatial distribution of the emissions is needed for assessing the impact of air quality regulations and climate policies, and as input in atmospheric models. Inversion methods have been widely used in the recent years, in combination with multiple sources of observations, to constrain the emissions of major pollutants. In particular, satellite observations play an increasingly important role in the validation and update of emission inventories.
We welcome contributions related to (1) advances in emission derivation, including new inverse methodologies , (2) the use of novel observations for improved top-down estimates and (3) analysis of cross-species/multi-platform measurements. Special attention will be given to the use of observations from the latest generation of satellite sensors e.g. TROPOMI on Sentinel 5P and CrIS on SUOMI NPP. Analysis and evaluation of the emissions and their trends, and development of scientific applications for use by policy makers in order to assess emission abatement measures are also welcome. This session directly links to the IGAC AMIGO activity.