Interpretable machine learning quantifies composition and size influences on aerosol spectral absorption
<p>The spectral dependence of aerosol absorption, characterized by the absorption Ångström exponent (AAE), strongly influences radiative effects, yet the relative importance of controlling factors remains poorly quantified. We integrate multisource observations with an interpretable machine-learning...
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| Auteurs principaux: | , , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Copernicus Publications
2026-05-01
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| Collection: | Atmospheric Chemistry and Physics |
| Accès en ligne: | https://acp.copernicus.org/articles/26/6471/2026/acp-26-6471-2026.pdf |
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