Monitoring carbon dioxide emissions of urban areas is increasingly important to assess the progress towards the Paris Agreement goals for climate neutrality. The current urban emission inventories are based on bottom-up approaches that use activity data (e.g. fuel and electricity consumption statistics) and emission factors for determining carbon dioxide emissions. So far, such approaches are not systematically assessed, present consistency issues and have restricted spatial and temporal resolution. Moreover, these approaches focus on the fossil fuel emissions and neglect the biogenic components of the urban carbon cycle (i.e. plant photosynthesis/respiration, soil respiration, human respiration) which can significantly affect the urban carbon balance. The main goal of diFUME project is to provide a robust and independent methodology for mapping and monitoring the actual urban carbon dioxide flux (i.e. emissions by buildings, traffic, human-soil-plant respiration versus photosynthetic uptake) at optimum spatial and temporal scales, meaningful for urban design and planning decisions.
diFUME developed a novel observation-based approach to monitor urban carbon dioxide flux in high temporal and spatial resolution. The approach combines urban in-situ Eddy Covariance measurements, Earth Observation (EO) monitoring and bottom-up modelling. The method is developed and applied in the city of Basel, Switzerland, where two urban Eddy Covariance measurement systems are available within the city centre. It is demonstrated that Eddy Covariance, combined with high resolution EO-based bottom-up modelling, can effectively resolve the spatial and temporal variability of urban carbon dioxide fluxes and quantify the relative contribution of the different emission sources (i.e. buildings, vehicles, humans, plants/soil). The approach is based on in-situ observations of the carbon dioxide fluxes, therefore can be used as an independent reference to urban inventories but also as a tool for sustainable urban planning.