Monitoring carbon dioxide emissions of urban areas has become a necessity for sustainable urban planning and climate change mitigation. The current emission inventories are based on bottom-up approaches that use fuel and electricity consumption statistics for determining carbon dioxide emissions. Such approaches present consistency issues, neglect the biogenic components of the urban carbon cycle (i.e. vegetation, soil) and have restricted spatial and temporal resolution.
The main goal of diFUME is to provide a robust methodology for mapping and monitoring the actual urban carbon dioxide flux at optimum spatial and temporal scales, meaningful for urban design decisions. diFUME will develop, apply and evaluate independent models, capable to estimate all the different components of the urban carbon cycle (i.e. building emissions, traffic emissions, human metabolism, photosynthetic uptake, plant respiration, soil respiration). An innovative interdisciplinary methodology will be introduced, combining two cutting-edge technology tools, the Eddy Covariance (EC) and the latest advances in Earth Observation (EO).
diFUME methodology will be developed and applied in the city of Basel, Switzerland, exploiting the unique infrastructure and long-term urban Eddy Covariance measurements by the Meteorology, Climatology and Remote sensing (mcr) group of the University of Basel.
The first flux tower was installed in Basel city centre by mcr in 1992. Since then, there have been numerous national and international urban micrometeorology experiments in the city (e.g. BUBBLE), bringing together world leading urban climatologists. Currently, mcr operates two flux towers in the city centre, offering an unprecedented long-term archive of nearly 15 years of continuous measurements. mcr operates one permanent flux tower outside the city centre as a rural reference and a dense urban meteorological network of over 15 meteorological stations across the city.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the
Marie Sklodowska-Curie grant agreement No 836443