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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 18, issue 2
Atmos. Chem. Phys., 18, 1337-1362, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Chem. Phys., 18, 1337-1362, 2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 01 Feb 2018

Research article | 01 Feb 2018

Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP

Emmanouil Proestakis1,2, Vassilis Amiridis1, Eleni Marinou1, Aristeidis K. Georgoulias3,4, Stavros Solomos1, Stelios Kazadzis5,6, Julien Chimot7, Huizheng Che8,9, Georgia Alexandri3, Ioannis Binietoglou10, Vasiliki Daskalopoulou1,11, Konstantinos A. Kourtidis3, Gerrit de Leeuw12,13, and Ronald J. van der A14 Emmanouil Proestakis et al.
  • 1IAASARS, National Observatory of Athens, Athens, 15236, Greece
  • 2Laboratory of Atmospheric Physics, Department of Physics, University of Patras, Patras, 26500, Greece
  • 3Laboratory of Atmospheric Pollution and Pollution Control Engineering of Atmospheric Pollutants, Department of Environmental Engineering, Democritus University of Thrace, Xanthi, Greece
  • 4Energy, Environment and Water Research Center, Cyprus Institute, Nicosia, Cyprus
  • 5Institute of Environmental Research and Sustainable Development, National Observatory of Athens, Lofos Koufou, 15236 Penteli, Athens, Greece
  • 6Physikalisch-Meteorologisches Observatorium Davos, World Radiation Center (PMOD/WRC) Dorfstrasse 33, 7260 Davos Dorf, Switzerland
  • 7Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, Delft, the Netherlands
  • 8Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences (CAMS), CMA, Beijing, 100081, China
  • 9Jiangsu Collaborative Innovation Center of Climate Change, Nanjing, 210093, China
  • 10National Institute of R&D for Optoelectronics, Magurele, Romania
  • 11Department of Physics, University of Crete, Heraklion, Greece
  • 12Finnish Meteorological Institute (FMI), Helsinki, Finland
  • 13Department of Physics, University of Helsinki, Helsinki, Finland
  • 14Royal Netherlands Meteorological Institute, De Bilt, Netherlands

Abstract. We present a 3-D climatology of the desert dust distribution over South and East Asia derived using CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) data. To distinguish desert dust from total aerosol load we apply a methodology developed in the framework of EARLINET (European Aerosol Research Lidar Network). The method involves the use of the particle linear depolarization ratio and updated lidar ratio values suitable for Asian dust, applied to multiyear CALIPSO observations (January 2007–December 2015). The resulting dust product provides information on the horizontal and vertical distribution of dust aerosols over South and East Asia along with the seasonal transition of dust transport pathways. Persistent high D_AOD (dust aerosol optical depth) values at 532nm, of the order of 0.6, are present over the arid and semi-arid desert regions. Dust aerosol transport (range, height and intensity) is subject to high seasonality, with the highest values observed during spring for northern China (Taklimakan and Gobi deserts) and during summer over the Indian subcontinent (Thar Desert). Additionally, we decompose the CALIPSO AOD (aerosol optical depth) into dust and non-dust aerosol components to reveal the non-dust AOD over the highly industrialized and densely populated regions of South and East Asia, where the non-dust aerosols yield AOD values of the order of 0.5. Furthermore, the CALIPSO-based short-term AOD and D_AOD time series and trends between January 2007 and December 2015 are calculated over South and East Asia and over selected subregions. Positive trends are observed over northwest and east China and the Indian subcontinent, whereas over southeast China trends are mostly negative. The calculated AOD trends agree well with the trends derived from Aqua MODIS (Moderate Resolution Imaging Spectroradiometer), although significant differences are observed over specific regions.

Publications Copernicus
Short summary
We provide a 3-D climatology of desert dust aerosols over South and East Asia, based on 9 years of CALIPSO observations and an EARLINET methodology. The results provide the horizontal, vertical and seasonal distribution of dust aerosols over SE Asia along with the change in dust transport pathways. The dataset is unique for its potential applications, including evaluation and assimilation activities in atmospheric simulations and the estimation of the climatic impact of dust aerosols.
We provide a 3-D climatology of desert dust aerosols over South and East Asia, based on 9 years...