The Climate and Environmental Research Institute NILU, 2007 Kjeller, Norway
Stergios Vratolis
Environmental Radioactivity & Aerosol Technology for Atmospheric & Climate Impact Laboratory, Institute of Nuclear & Radiological Sciences and Technology, Energy & Safety, National Centre of Scientific Research Demokritos, 15310 Athens, Greece
Emmanouella Remoundaki
Laboratory of Environmental Science and Engineering, School of Mining and Metallurgical Engineering, National Technical University of Athens, 15780 Zografou, Greece
Christine Groot Zwaaftink
The Climate and Environmental Research Institute NILU, 2007 Kjeller, Norway
Sabine Eckhardt
The Climate and Environmental Research Institute NILU, 2007 Kjeller, Norway
Igor Veselovskii
A. M. Prokhorov General Physics Institute of the Russian Academy of Sciences, Vavilov St. 38, 119991 Moscow, Russia
Maria Mylonaki
Meteorological Institute, Ludwig-Maximilians-Universität München, 80539 Munich, Germany
Athina Argyrouli
Remote Sensing Technology, School of Engineering and Design, Technical University of Munich, 80333 Munich, Germany
Konstantinos Eleftheriadis
Environmental Radioactivity & Aerosol Technology for Atmospheric & Climate Impact Laboratory, Institute of Nuclear & Radiological Sciences and Technology, Energy & Safety, National Centre of Scientific Research Demokritos, 15310 Athens, Greece
Stavros Solomos
Research Centre for Atmospheric Physics and Climatology, Academy of Athens, 10679 Athens, Greece
Maria I. Gini
Environmental Radioactivity & Aerosol Technology for Atmospheric & Climate Impact Laboratory, Institute of Nuclear & Radiological Sciences and Technology, Energy & Safety, National Centre of Scientific Research Demokritos, 15310 Athens, Greece
A rare event of mixed biomass-burning and polluted dust aerosols was observed over Athens, Greece (37.9° N, 23.6° E), during 21–26 May 2014. This event was studied using a synergy of a 6-wavelength elastic-Raman-depolarization lidar measurements, a CIMEL sun photometer, and in situ instrumentation. The FLEXPART dispersion model was used to identify the aerosol sources and quantify the contribution of dust and black carbon particles to the mass concentration. The identified air masses were found to originate from Kazakhstan and Saharan deserts, under a rare atmospheric pressure system. The lidar ratio (LR) values retrieved from the Raman lidar ranged within 25–89 sr (355 nm) and 35–70 sr (532 nm). The particle linear depolarization ratio (δaer) ranged from 7 to 28% (532 nm), indicating mixing of dust with biomass-burning particles. The aerosol optical depth (AOD) values derived from the lidar ranged from 0.09–0.43 (355 nm) to 0.07–0.25 (532 nm). An inversion algorithm was used to derive the mean aerosol microphysical properties (mean effective radius (reff), single scattering albedo (SSA), and mean complex refractive index (m)) inside selected atmospheric layers. We found that reff was 0.12–0.51 (±0.04) µm, SSA was 0.94–0.98 (±0.19) (at 532 nm), while m ranged between 1.39 (±0.05) + 0.002 (±0.001)i and 1.63 (±0.05) + 0.008 (±0.004)i. The polarization lidar photometer networking (POLIPHON) algorithm was used to estimate the vertical profile of the mass concentration for the dust and non-dust components. A mean mass concentration of 15 ± 5 μg m−3 and 80 ± 29 μg m−3 for smoke and dust was estimated for selected days, respectively. Finally, the retrieved aerosol microphysical properties were compared with column-integrated sun photometer CIMEL data with good agreement.