Spatiotemporal variability and contribution of different aerosol types to the aerosol optical depth over the Eastern Mediterranean

被引:65
|
作者
Georgoulias, Aristeidis K. [1 ,2 ,3 ,5 ]
Alexandri, Georgia [4 ,5 ]
Kourtidis, Konstantinos A. [5 ]
Lelieveld, Jos [3 ,6 ]
Zanis, Prodromos [1 ]
Poeschl, Ulrich [2 ]
Levy, Robert [7 ]
Amiridis, Vassilis [8 ]
Marinou, Eleni [4 ,8 ]
Tsikerdekis, Athanasios [1 ]
机构
[1] Aristotle Univ Thessaloniki, Sch Geol, Dept Meteorol & Climatol, Thessaloniki 54124, Greece
[2] Max Planck Inst Chem, Multiphase Chem Dept, D-55128 Mainz, Germany
[3] Cyprus Inst, Energy Environm & Water Res Ctr, Nicosia, Cyprus
[4] Aristotle Univ Thessaloniki, Dept Phys, Lab Atmospher Phys, Thessaloniki 54124, Greece
[5] Democritus Univ Thrace, Dept Environm Engn, Lab Atmospher Pollut & Pollut Control Engn Atmosp, GR-67100 Xanthi, Greece
[6] Max Planck Inst Chem, Atmospher Chem Dept, D-55128 Mainz, Germany
[7] NASA, Goddard Space Flight Ctr, Div Earth Sci, Greenbelt, MD 20771 USA
[8] Natl Observ Athens, Inst Astron Astrophys Space Applicat & Remote Sen, Athens 15236, Greece
基金
欧洲研究理事会; 欧盟地平线“2020”;
关键词
REGIONAL CLIMATE MODEL; GROUND-BASED MEASUREMENTS; BIOMASS BURNING AEROSOLS; LONG-RANGE TRANSPORT; SAHARAN DUST LAYERS; RAMAN LIDAR; DESERT-DUST; SATELLITE-OBSERVATIONS; TROPOSPHERIC AEROSOL; SOLAR-RADIATION;
D O I
10.5194/acp-16-13853-2016
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study characterizes the spatiotemporal variability and relative contribution of different types of aerosols to the aerosol optical depth (AOD) over the Eastern Mediterranean as derived from MODIS (Moderate Resolution Imaging Spectroradiometer) Terra (March 2000-December 2012) and Aqua (July 2002-December 2012) satellite instruments. For this purpose, a 0.1 degrees x 0.1 degrees gridded MODIS dataset was compiled and validated against sun photometric observations from the AErosol RObotic NETwork (AERONET). The high spatial resolution and long temporal coverage of the dataset allows for the determination of local hot spots like megacities, medium-sized cities, industrial zones and power plant complexes, seasonal variabilities and decadal averages. The average AOD at 550 nm (AOD(550)) for the entire region is similar to 0.22 +/- 0.19, with maximum values in summer and seasonal variabilities that can be attributed to precipitation, photochemical production of secondary organic aerosols, transport of pollution and smoke from biomass burning in central and eastern Europe and transport of dust from the Sahara and the Middle East. The MODIS data were analyzed together with data from other satellite sensors, reanalysis projects and a chemistry-aerosol-transport model using an optimized algorithm tailored for the region and capable of estimating the contribution of different aerosol types to the total AOD(550). The spatial and temporal variability of anthropogenic, dust and fine-mode natural aerosols over land and anthropogenic, dust and marine aerosols over the sea is examined. The relative contribution of the different aerosol types to the total AOD(550) exhibits a low/high seasonal variability over land/sea areas, respectively. Overall, anthropogenic aerosols, dust and fine-mode natural aerosols account for similar to 51, similar to 34 and similar to 15% of the total AOD(550) over land, while, anthropogenic aerosols, dust and marine aerosols account similar to 40, similar to 34 and similar to 26% of the total AOD(550) over the sea, based on MODIS Terra and Aqua observations.
引用
收藏
页码:13853 / 13884
页数:32
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