Satellite observations reveal heterogeneous atmospheric composition responses to rapid emission changes
<p>We developed a unified machine learning framework to retrieve daily, 1 km resolution, gap-free concentrations of six major atmospheric pollutants across China, providing a consistent basis for quantifying atmospheric composition responses to rapid emission perturbations. Our results reveal pronou...
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| Hlavní autoři: | , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Copernicus Publications
2026-06-01
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| Edice: | Atmospheric Chemistry and Physics |
| On-line přístup: | https://acp.copernicus.org/articles/26/7933/2026/acp-26-7933-2026.pdf |
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