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.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-22-3553-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Mar 2022
Research article |
| 17 Mar 2022
| 17 Mar 2022
Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017)
Institute for Astronomy, Astrophysics, Space Applications and Remote
Sensing, National Observatory of Athens, Athens, 15236, Greece
Emmanouil Proestakis
Institute for Astronomy, Astrophysics, Space Applications and Remote
Sensing, National Observatory of Athens, Athens, 15236, Greece
Vassilis Amiridis
Institute for Astronomy, Astrophysics, Space Applications and Remote
Sensing, National Observatory of Athens, Athens, 15236, Greece
Stelios Kazadzis
Physikalisch-Meteorologisches Observatorium Davos, World Radiation
Center, Davos, Switzerland
Institute of Environmental Research and Sustainable Development,
National Observatory of Athens, Athens, Greece
Enza Di Tomaso
Barcelona Supercomputing Center, Barcelona, Spain
Eleni Marinou
Institute for Astronomy, Astrophysics, Space Applications and Remote
Sensing, National Observatory of Athens, Athens, 15236, Greece
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Nikos Hatzianastassiou
Laboratory of Meteorology, Department of Physics, University of
Ioannina, Ioannina, Greece
Jasper F. Kok
Department of Atmospheric and Oceanic Sciences, University of
California, Los Angeles, CA 90095, USA
Carlos Pérez García-Pando
Barcelona Supercomputing Center, Barcelona, Spain
ICREA, Catalan Institution for Research and Advanced Studies,
Barcelona, Spain
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Latest update: 13 Dec 2024
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.
We present a comprehensive climatological analysis of dust optical depth (DOD) relying on the...
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