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Aerosol comprehensive observation and analysis in Nanjing area

  • role： First author第一作者
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

  • Email：371717550@qq.com
  • Introduction：王贺(1992— )，男，硕士研究生，研究方向为激光大气探测及卫星资料的应用研究。E-mail：371717550@qq.com
WANG He1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

  • Email：nwcao@nuist.edu.cn
  • Introduction：曹念文(1967—    )，男，教授，研究方向为激光大气探测。E-mail：nwcao@nuist.edu.cn
CAO Nianwen1*,  
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

WANG Peng1,  
  • Affiliation：

    Center for Atmosphere Watch and Services, CMA, Beijing 100081, China

YAN Peng2,  
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

YANG Shaobo1,  
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

XIE Yinhai1,  
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

SUN Haibo1,  
  • Affiliation：

    Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China

JING Qiongqiong1

résumé

We use CE-318 sun photometer, MPL lidar, and satellite to measure aerosols in Nanjing and employ the spectral light extinction method, Fernald method, and MODIS dark dense vegetation method, respectively, to calculate Aerosol Optical Depth(AOD).The spatial distribution maps of AOD from satellite shows that AOD is higher in March 3 and 6 in the vicinity of the Yangtze River and urban district, respectively(in addition to the Laoshan, Sun Yat Sen, and other mountainous areas). The calculated AOD values in March 3 from the CE-318 sun photometer, MPL lidar, and satellite data were 0.455, 0.289, and 0.4, respectively, and in March 6, the values were 0.373, 0.267, and 0.25, respectively, in site location(Nanjing University of Information Science and Technology; 118.7°E, 32.2°N).By comparing three kinds of AOD data from March to September, we observed that the difference of AOD is small, and the AOD values calculated from satellite and lidar are relatively reliable. In addition, in March 3 and 6, the sun photometric data showed two kinds of AOD variations: the first variation shows that AOD is high in the morning and evening and is low at noon; the second variation indicates that AOD is low in the morning and high in the evening. Moreover, results of the lidar data varied significantly with time, and lidar can be measured during cloudy weather to detect aerosol. This study indicates that the mean value of AOD by lidar below 9 km is approximately 0.3.In March 3 and 6, the area below 2 km was dirty, indicating that it contains some aerosols, whereas the area above 6km was relatively clean, which implies the presence of some clouds. Compared with ground-based observations, although the temporal resolution of satellite is low, satellite has an absolute advantage in case of trend analysis of a large area. In the development of aerosol observation in the future, combined with the advantages of the three observation methods, the proposed method can be helpful in the observation of large areas with high precision to retrieve the atmospheric aerosol spatial distribution and obtain more accurate aerosol parameters.

mots-clés

aerosol;MODIS;MPL LiDar;Sun Photometer

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