Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/amt-18-533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-533-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Research article
 | 
29 Jan 2025
Research article |  | 29 Jan 2025

Optimal selection of satellite XCO2 images for urban CO2 emission monitoring

Alexandre Danjou, Grégoire Broquet, Andrew Schuh, François-Marie Bréon, and Thomas Lauvaux

Viewed

Total article views: 4,435 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,095 1,198 142 4,435 137 160
  • HTML: 3,095
  • PDF: 1,198
  • XML: 142
  • Total: 4,435
  • BibTeX: 137
  • EndNote: 160
Views and downloads (calculated since 16 Oct 2023)
Cumulative views and downloads (calculated since 16 Oct 2023)

Viewed (geographical distribution)

Total article views: 4,435 (including HTML, PDF, and XML) Thereof 4,327 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 23 Aug 2026
Download
Short summary
We study the capacity of XCO2 spaceborne imagery to estimate urban CO2 emissions with synthetic data. We define automatic and standard methods and objective criteria for image selection. The wind variability and urban emission budget guide the emission estimation error. Images with low wind variability and high urban emissions account for 47 % of images and give a bias in the emission estimation of −7 % and a spread of 56 %. Other images give a bias of −31 % and a spread of 99 %.
Read more
Share