In a recently published study, researchers from CoCO2  assessed the potential of a comprehensive data assimilation system using simulated CO2M observations of CO₂ and NO₂ to constrain fossil fuel CO₂ emission estimates over a regional domain that includes the megacity of Berlin and various power plants.

The assessments show that the combination of CO2M with a suitable inversion system can provide useful estimates for urban scale emission reporting/verification. The uncertainty in fossil fuel emissions from the largest three power plants in the domain was reduced by 60 to 90% after assimilating the observations. Likewise, the uncertainty for the non-power plant emissions was reduced by up to 60% when aggregated over the city of Berlin (see Figure). Details of the study can be found in an article that was just published in Frontiers in Remote Sensing.