Articles | Volume 19, issue 2
https://doi.org/10.5194/amt-19-699-2026
https://doi.org/10.5194/amt-19-699-2026
Research article
 | 
28 Jan 2026
Research article |  | 28 Jan 2026

Derivation and validation of a refined dust product from Aeolus (L2A+)

Konstantinos Rizos, Emmanouil Proestakis, Thanasis Georgiou, Antonis Gkikas, Eleni Marinou, Peristera Paschou, Kalliopi Artemis Voudouri, Athanasios Tsikerdekis, David P. Donovan, Gerd-Jan van Zadelhoff, Angela Benedetti, Holger Baars, Athena Augusta Floutsi, Nikos Benas, Martin Stengel, Christian Retscher, Edward Malina, and Vassilis Amiridis

Data sets

ASKOS Campaign Dataset V. Amiridis et al. https://doi.org/10.60621/jatac.campaign.2021.2022.caboverde

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Short summary
The Aeolus satellite's lidar system had limitations in detecting certain atmospheric layers and distinguishing between aerosol and cloud types. To improve accuracy, a new dust detection product was developed. By combining data from various sources and validating it with ground-based measurements, this enhanced product performs better than the original. It helps improve dust transport models and weather predictions, making it a valuable tool for atmospheric monitoring and forecasting.
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