Retrieval of Aerosol Properties for Fine/Coarse Mode Aerosol Mixtures over Beijing from PARASOL Measurements

Remote Sensing

Shupeng Wang³  Li Fang²  Xingying Zhang³  Weihe Wang³  Alexander A. Kokhanovsky¹  Richard Müller¹ 

[1] National Satellite Meteorological Center, Beijing 100081, China;;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;National Satellite Meteorological Center, Beijing 100081, China; E-Mails:

关键词: PARASOL;    AERONET;    fine/coarse aerosol mixture;    aerosol retrieval;    urban areas;   

DOI  :  10.3390/rs70709311

来源: mdpi

【 摘 要 】

Beijing is one of the largest metropolitan areas in the world with relatively high aerosol loading. The population of Beijing is approximately 21.5 million based on statistics from 2014. In order to improve the air quality of Beijing by monitoring and better understanding of high aerosol loading at fine spatial resolution, an extended version of the Look Up Table (LUT) aerosol retrieval algorithm from PARASOL (Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from a Lidar) measurements of total intensity and polarization was tested over this region. Instead of using the surface reflectance model introduced in the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm, the assumption of spectral reflectance shape invariance principle is used to separate the total radiance contribution of surface and aerosols. Case studies were conducted in Beijing and evaluated preliminarily using the coincident AERONET measurements. The results indicate a significant agreement with a slope of 1.083 and a correlation coefficient of 0.913. A high Gfrac (fraction of accurate retrievals) of 78% is also observed. Analysis on the retrieval accuracy illustrates that the algorithm capability depends significantly on the data quality index, as the AOD (Aerosol Optical Depth) retrieval accuracy is relatively lower for the data with quality index less than 0.75.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.