Articles | Volume 18, issue 6
https://doi.org/10.5194/amt-18-1415-2025
https://doi.org/10.5194/amt-18-1415-2025
Research article
 | 
24 Mar 2025
Research article |  | 24 Mar 2025

Multi-layer retrieval of aerosol optical depth in the troposphere using SEVIRI data: a case study of the European continent

Maryam Pashayi, Mehran Satari, and Mehdi Momeni Shahraki

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Latest update: 09 Sep 2025
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Short summary
Multi-layer aerosol optical depth (AOD) is retrieved using the geostationary Spinning Enhanced Visible and Infrared Imager (SEVIRI) and machine learning, trained on Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) data. The model provides AOD at a 3 km × 3 km spatial and 15 min temporal resolution over Europe. It accurately captured multi-layer AOD dynamics during Saharan dust transport and the Mount Etna eruption, demonstrating consistent physical accuracy.
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