Benchmarking data-driven inversion methods for the estimation of local CO<sub>2</sub> emissions from synthetic satellite images of XCO<sub>2</sub> and NO<sub>2</sub>

Benchmarking data-driven inversion methods for the estimation of local CO<sub>2</sub> emissions from synthetic satellite images of XCO<sub>2</sub> and NO<sub>2</sub>

<p>The largest anthropogenic emissions of carbon dioxide (CO<span class="inline-formula"><sub>2</sub></span>) come from local sources, such as cities and power plants. The upcoming Copernicus CO<span class="inline-formula"><sub>2</sub&...

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Main Authors: D. Santaren, J. Hakkarainen, G. Kuhlmann, E. Koene, F. Chevallier, I. Ialongo, H. Lindqvist, J. Nurmela, J. Tamminen, L. Amorós, D. Brunner, G. Broquet
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/18/211/2025/amt-18-211-2025.pdf
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https://amt.copernicus.org/articles/18/211/2025/amt-18-211-2025.pdf

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