Abstract
Aerosol optical depth (AOD) is a widely used aerosol optical parameter in atmospheric physics. To obtain this parameter precisely, many institutions plan to launch satellites with multi-angle measurement sensors, but one important step in aerosol retrieval, the estimation of surface reflectance, is still a pressing issue. This paper presents an AOD retrieval method based on the multi-angle intensity data from the Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from a Lidar (PARASOL) platform using empirical orthogonal functions (EOFs), which can be universally applied to multi-angle observations. The function of EOFs in this study is to estimate surface intensity contributions, associated with aerosol lookup tables (LUTs), so that the retrieval of AOD can be implemented. A comparison of the retrieved AODs for the Beijing, Xianghe, Taihu, and Hongkong_PolyU sites with those from the Aerosol Robotic Network (AERONET) ground-based observations produced high correlation coefficients (r) of 0.892, 0.915, 0.831, and 0.897, respectively, while the corresponding root mean square errors (RMSEs) are 0.095, 0.093, 0.099, and 0.076, respectively.
Highlights
Aerosol optical depth (AOD) is an important aerosol optical parameter with many applications in the fields of atmospheric studies and climate change [1,2,3,4,5,6,7]
The corresponding AOD retrievals (865 nm) and Anhui districts, the corresponding AODs are mostly in the range from 0.2 to 0.6, which represents are greater than 0.6, which indicates a case of aerosol pollution
This paper presented an AOD retrieval method using empirical orthogonal functions (EOFs) to estimate surface intensity contributions based on multi-angle observations from PARASOL, presenting another application example of EOFs for aerosol retrieval in addition to the Multi-angle Imaging SpectroRadiometer (MISR) approach
Summary
Aerosol optical depth (AOD) is an important aerosol optical parameter with many applications in the fields of atmospheric studies and climate change [1,2,3,4,5,6,7]. We proposed an aerosol fine-mode fraction (FMF) retrieval method [8] which uses the ratio of the fine-mode AOD (AODf ) to the total AOD to obtain FMF. This method has been implemented on the Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from a Lidar (PARASOL) platform, which has the ability to detect the intensity and polarization of radiation from multi-angle observations. The model may help obtain comparable AOD retrievals from the Aerosol Robotic Network (AERONET) ground-based observations, the semi-empirical parameter used in that model varies with the study region, which limits the application scope of our FMF retrieval method. Many countries plan to launch new satellites with multi-angle measurement
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