Aerosol characteristics and types in the marine environments surrounding the East Mediterranean - Middle East (EMME) region during the AQABA campaign

D. G. Kaskaoutis, M. Pikridas, K. Barmpounis, G. Kassell, D. Logan, M. Rigler, M. Ivančič, K. Mohammadpour, N. Mihalopoulos, J. Lelieveld, J. Sciare

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This study analyzes the aerosol optical properties (scattering, absorption coefficients, single scattering albedo), supported by chemical composition measurements, in the marine boundary layer of the East Mediterranean – Middle East (EMME) region, aiming to explore the spatio-temporal variability, aerosol mixing state, sources and dominant types. The measurements were taken during the AQABA (Air Quality and climate change in the Arabian Basin) cruise campaign (1st July – September 1, 2017) from the south of France to Kuwait and back. Both scattering and absorption coefficients for PM1 and PM10 particles maximized in the southern Red Sea, due to continental outflow from East Africa, and in the Arabian/Persian Gulf due to enhanced anthropogenic/industrial emissions, leading to 3-fold sulfate concentrations compared to the other regions. The East Mediterranean exhibited moderate aerosol loading, with high scattering Ångström Exponent (SAE) values (1.98, 1.30 for PM1 and PM10, respectively), which increased in the Suez Canal and the Arabian Gulf due to impact from combustion sources. The aerosol over the Gulf of Aden and the West Arabian Sea was dominated by coarse particles (SAE
Original languageEnglish (US)
Pages (from-to)119633
JournalAtmospheric Environment
Volume298
DOIs
StatePublished - Feb 6 2023
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2023-03-06
Acknowledgements: The authors acknowledge the support of Marcel Dorf and Claus Koeppel for organizing the campaign, and the rest of the MPIC team for their valuable support. Additional thanks to the owner (Hays Ships Ltd.), captain and crew of the Kommandor Iona. Maps throughout this article were created using Matlab®. This work would not be possible without funding from the Max Planck Society and the H2020-EMME-CARE (GA 856612) research grants. Finally, to the King Abdullah University of Science and Technology (KAUST), and the Kuwait Institute for Scientific Research (KISR) for their support.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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