Articles | Volume 18, issue 2
https://doi.org/10.5194/amt-18-533-2025
https://doi.org/10.5194/amt-18-533-2025
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

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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 %.
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