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ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set

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Gkikas, Antonis
Proestakis, Emmanouil
Amiridis, Vassilis
Kazadzis, Stelios
Tomaso, Enza Di
Tsekeri, Alexandra
Marinou, Eleni
Hatzianastassiou, Nikos
Pérez García-Pando, Carlos
Document typeArticle
Defense date2021
PublisherCopernicus Publications
Rights accessOpen Access
Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain
ProjectFRAGMENT - FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (EC-H2020-773051)
ERA4CS - European Research Area for Climate Services (EC-H2020-690462)
Abstract
Monitoring and describing the spatiotemporal variability in dust aerosols is crucial for understanding their multiple effects, related feedbacks, and impacts within the Earth system. This study describes the development of the ModIs Dust AeroSol (MIDAS) data set. MIDAS provides columnar daily dust optical depth (DOD) at 550 nm at a global scale and fine spatial resolution (0.1∘ × 0.1∘) over a 15-year period (2003–2017). This new data set combines quality filtered satellite aerosol optical depth (AOD) retrievals from MODIS-Aqua at swath level (Collection 6.1; Level 2), along with DOD-to-AOD ratios provided by the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) reanalysis to derive DOD on the MODIS native grid. The uncertainties of the MODIS AOD and MERRA-2 dust fraction, with respect to the AEronet RObotic NETwork (AERONET) and LIdar climatology of vertical Aerosol Structure for space-based lidar simulation (LIVAS), respectively, are taken into account for the estimation of the total DOD uncertainty. MERRA-2 dust fractions are in very good agreement with those of LIVAS across the dust belt in the tropical Atlantic Ocean and the Arabian Sea; the agreement degrades in North America and the Southern Hemisphere, where dust sources are smaller. MIDAS, MERRA-2, and LIVAS DODs strongly agree when it comes to annual and seasonal spatial patterns, with colocated global DOD averages of 0.033, 0.031, and 0.029, respectively; however, deviations in dust loading are evident and regionally dependent. Overall, MIDAS is well correlated with AERONET-derived DODs (R=0.89) and only shows a small positive bias (0.004 or 2.7 %). Among the major dust areas of the planet, the highest R values (>0.9) are found at sites of North Africa, the Middle East, and Asia. MIDAS expands, complements, and upgrades the existing observational capabilities of dust aerosols, and it is suitable for dust climatological studies, model evaluation, and data assimilation.
Related documenthttps://amt.copernicus.org/articles/14/309/2021/amt-14-309-2021-supplement.pdf
CitationGkikas, A. [et al.]. ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set. "Atmospheric Measurement Techniques", 2021, vol. 14, p. 309-334. 
URIhttp://hdl.handle.net/2117/345158
DOI10.5194/amt-14-309-2021
ISSN1867-8548
Publisher versionhttps://amt.copernicus.org/articles/14/309/2021/
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  • Earth Sciences - Articles de revista [307]
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