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></span> Monitoring (CO2M) mission will provide satellite images o...
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| Autors principals: | , , , , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Copernicus Publications
2025-01-01
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| Col·lecció: | Atmospheric Measurement Techniques |
| Accés en línia: | https://amt.copernicus.org/articles/18/211/2025/amt-18-211-2025.pdf |
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