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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2024-105', Anonymous Referee #1, 08 Oct 2024
  • RC2: 'Comment on amt-2024-105', Anonymous Referee #2, 22 Oct 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by M. Satari on behalf of the Authors (28 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Dec 2024) by Omar Torres
RR by Anonymous Referee #2 (22 Dec 2024)
ED: Publish as is (14 Jan 2025) by Omar Torres
AR by M. Satari on behalf of the Authors (22 Jan 2025)  Manuscript 
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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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