1Department of Prep Year Physics, College of Applied and Supporting
Studies, King Fahd University of Petroleum & Minerals, Dhahran 31261,
2Department of Physics, Faculty of Science, Moharam Beek,
Alexandria University, Alexandria, 21522, Egypt
3Center of Excellence in Earth Systems Modeling and Observations,
Chapman University, Orange, CA 92866, USA
4Schmid College of Science and Technology, Chapman University, CA 92866, USA
5Department of Environmental Sciences, Faculty of Science, Moharam
Beek, Alexandria University, Alexandria, 21522, Egypt
6Department of Geology, State University of New York at Buffalo,
Buffalo, NY 14260, USA
7Department of Chemistry and Earth Science, College of Arts &
Science, Qatar University, Doha, Qatar
Received: 22 Jul 2016 – Revised: 04 Oct 2016 – Accepted: 11 Oct 2016 – Published: 17 Nov 2016
Abstract. In this paper particle categorization and absorption properties were discussed to understand transport mechanisms at different geographic locations and possible radiative impacts on climate. The long-term Aerosol Robotic Network (AERONET) data set (1999–2015) is used to estimate aerosol optical depth (AOD), single scattering albedo (SSA), and the absorption Ångström exponent (αabs) at eight locations in North Africa and the Middle East. Average variation in SSA is calculated at four wavelengths (440, 675, 870, and 1020 nm), and the relationship between aerosol absorption and physical properties is used to infer dominant aerosol types at different locations. It was found that seasonality and geographic location play a major role in identifying dominant aerosol types at each location. Analyzing aerosol characteristics among different sites using AERONET Version 2, Level 2.0 data retrievals and the Hybrid Single Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectories shows possible aerosol particle transport among different locations indicating the importance of understanding transport mechanisms in identifying aerosol sources.
Farahat, A., El-Askary, H., Adetokunbo, P., and Fuad, A.-T.: Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data, Ann. Geophys., 34, 1031-1044, doi:10.5194/angeo-34-1031-2016, 2016.