Four-dimensional mapping of carbon dioxide sensors - CarboSense4D
Four-dimensional mapping of carbon dioxide using low-cost sensors, atmospheric transport simulations and machine learning
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.
Co-PIs:
external page Dr. Dominik Brunner, Empa
Dr. Christina Schnadt Poberaj, C2SM