Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation

Moustaka, Anna; Siomos, Nikolaos; Kazadzis, Stelios; Proestakis, Emmanouil; Voudouri, Kalliopi Artemis; Lopatin, Anton; Dubovik, Oleg; Tourpali, Kleareti; Zerefos, Christos; Amiridis, Vassilis; Gkikas, Antonis

doi:10.5194/amt-19-1201-2026

Articles | Volume 19, issue 4

https://doi.org/10.5194/amt-19-1201-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Sun-photometric measurements of aerosols: harmonization, comparisons,...

https://doi.org/10.5194/amt-19-1201-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 4

Research article

| Highlight paper

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18 Feb 2026

Research article | Highlight paper |

| 18 Feb 2026

Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation

Anna Moustaka, Nikolaos Siomos, Stelios Kazadzis, Emmanouil Proestakis, Kalliopi Artemis Voudouri, Anton Lopatin, Oleg Dubovik, Kleareti Tourpali, Christos Zerefos, Vassilis Amiridis, and Antonis Gkikas

Supplement

https://doi.org/10.5194/amt-19-1201-2026-supplement

Data sets

Enhancing dust aerosols monitoring capabilities across North Africa and the Middle East using the A-Train satellite constellation Anna Moustaka et al. https://doi.org/10.5281/zenodo.18016524

ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset Antonis Gkikas et al. https://doi.org/10.5281/zenodo.4244106

Editorial statement

This paper stands out by proving that the synergistic use of CALIOP and passive imagers leads to a marked improvement in global dust load retrieval. These more accurate global maps are essential for the next generation of climate models, specifically for refining estimates of dust radiative forcing