Articles | Volume 14, issue 1
https://doi.org/10.5194/amt-14-309-2021
© Author(s) 2021. 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/amt-14-309-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
Emmanouil Proestakis
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
Vassilis Amiridis
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, 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
Alexandra Tsekeri
Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
Eleni Marinou
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
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 the development of the MIDAS (ModIs Dust AeroSol) data set, providing daily dust optical depth (DOD; 550 nm) at a global scale and fine spatial resolution (0.1° x 0.1°) over a 15-year period (2003–2017). It has been developed via the synergy of MODIS-Aqua and MERRA-2 data, while CALIOP and AERONET retrievals are used for its assessment. MIDAS upgrades existing dust observational capabilities, and it is suitable for dust climatological studies, model evaluation, and data assimilation.
We present the development of the MIDAS (ModIs Dust AeroSol) data set, providing daily dust...