Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017)

Gkikas, Antonis; Proestakis, Emmanouil; Amiridis, Vassilis; Kazadzis, Stelios; Di Tomaso, Enza; Marinou, Eleni; Hatzianastassiou, Nikos; Kok, Jasper F.; García-Pando, Carlos Pérez

doi:https://doi.org/10.5194/acp-22-3553-2022

Articles | Volume 22, issue 5

https://doi.org/10.5194/acp-22-3553-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Dust aerosol measurements, modeling and multidisciplinary...

https://doi.org/10.5194/acp-22-3553-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 5

Research article

|

17 Mar 2022

Research article |

| 17 Mar 2022

Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017)

Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, Stelios Kazadzis, Enza Di Tomaso, Eleni Marinou, Nikos Hatzianastassiou, Jasper F. Kok, and Carlos Pérez García-Pando

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https://doi.org/10.5194/acp-22-3553-2022-supplement

Data sets

ModIs Dust AeroSol (MIDAS) Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, Stelios Kazadzis, Enza Di Tomaso, Alexandra Tsekeri, Eleni Marinou, Nikos Hatzianastassiou, and Carlos Pérez García-Pando https://doi.org/10.5281/zenodo.4244106

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Short summary

We present a comprehensive climatological analysis of dust optical depth (DOD) relying on the MIDAS dataset. MIDAS provides columnar mid-visible (550 nm) DOD at fine spatial resolution (0.1° × 0.1°) over a 15-year period (2003–2017). In the current study, the analysis is performed at various spatial (from regional to global) and temporal (from months to years) scales. More specifically, focus is given to specific regions hosting the major dust sources as well as downwind areas of the planet.