SDSC-Connect 25th May 2023

Towards Biomedical Data Science & Precision Medicine | Conference

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


  • Dominik Brunner (Empa)
  • Christina Schnadt Poberaj (C2SM)

Project presentation

April 20th 2018


  • 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


Integrate complimentary information from

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


  • 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.