Aerosol type classification with machine learning techniques applied to multiwavelength lidar data from EARLINET
<p>Aerosol typing is essential for understanding atmospheric composition and its impact on the climate. Lidar-based aerosol typing has been often addressed with manual classification using optical property ranges. However, few works addressed it using automated classification with machine learning (...
Wedi'i Gadw mewn:
| Prif Awduron: | , , , , , |
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| Fformat: | Artigo |
| Iaith: | Inglês |
| Cyhoeddwyd: |
Copernicus Publications
2025-10-01
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| Cyfres: | Atmospheric Chemistry and Physics |
| Mynediad Ar-lein: | https://acp.copernicus.org/articles/25/12549/2025/acp-25-12549-2025.pdf |
| Tagiau: |
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