Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 1
Articles | Volume 18, issue 1
https://doi.org/10.5194/amt-18-211-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-211-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 1
Research article
 | 
15 Jan 2025
Research article |  | 15 Jan 2025

Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from synthetic satellite images of XCO2 and NO2

Diego Santaren, Janne Hakkarainen, Gerrit Kuhlmann, Erik Koene, Frédéric Chevallier, Iolanda Ialongo, Hannakaisa Lindqvist, Janne Nurmela, Johanna Tamminen, Laia Amorós, Dominik Brunner, and Grégoire Broquet

Viewed

Total article views: 1,163 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
875 247 41 1,163 37 44
  • HTML: 875
  • PDF: 247
  • XML: 41
  • Total: 1,163
  • BibTeX: 37
  • EndNote: 44
Views and downloads (calculated since 02 Jan 2024)
Cumulative views and downloads (calculated since 02 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,163 (including HTML, PDF, and XML) Thereof 1,164 with geography defined and -1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Jan 2025
Download
Short summary
This study evaluates data-driven inversion methods for estimating CO2 emissions from local sources, such as power plants and cities, using meteorological data and XCO2 and NO2 satellite images rather than atmospheric transport modeling. We assess and compare the performance of five different methods using simulations of 1 year of satellite images, taken from the upcoming Copernicus CO2 Monitoring Mission, covering 15 power plants and the city of Berlin, Germany.
Read more