Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning – CarboSense4D

Problem:

• Determine real-time CO2 emissions of the city of Zurich and track their year-to-year evolution
• Enhance understanding of CO2 exchange between biosphere and atmosphere over Switzerland
• Improve data quality of low-cost sensor networks

Solution:

Integrate complimentary information from

• Dense network of CO2 sensors across Switzerland
• Atmospheric transport simulations * Data analysis and machine learning

Impact:

• CarboSense4D improves the operation of dense trace gas sensor networks and the understanding of CO2 fluxes at urban and regional scales to support the assessment of CO2 emission reduction measures.