Abstract
Abstract. The aerosol fine-mode fraction (FMF) is an important optical parameter of aerosols, and the FMF is difficult to accurately retrieve by traditional satellite remote sensing methods. In this study, FMF retrieval was carried out based on the multiangle polarization data of Polarization and Anisotropy of Reflectances for Atmospheric Science coupled with Observations from Lidar (PARASOL), which overcame the shortcomings of the FMF retrieval algorithm in our previous research. In this research, FMF retrieval was carried out in China and compared with the AErosol RObotic NETwork (AERONET) ground-based observation results, Moderate Resolution Imaging Spectroradiometer (MODIS) FMF products, and Generalized Retrieval of Aerosol and Surface Properties (GRASP) FMF results. In addition, the FMF retrieval algorithm was applied, a new FMF dataset was produced, and the annual and quarterly average FMF results from 2006 to 2013 were obtained for all of China. The research results show that the FMF retrieval results of this study are comparable with the AERONET ground-based observation results in China and the correlation coefficient (r), mean absolute error (MAE), root mean square error (RMSE), and the proportion of results that fall within the expected error (Within EE) are 0.770, 0.143, 0.170, and 65.01 %, respectively. Compared with the MODIS FMF products, the FMF results of this study are closer to the AERONET ground-based observations. Compared with the FMF results of GRASP, the FMF results of this study are closer to the spatial variation in the ratio of PM2.5 to PM10 near the ground.
Highlights
Aerosols have a great impact on human production, life, and climate change (Kaufman et al, 2002; Huang et al, 2014; Shi et al, 2018)
There are two products that can be used to validate the results of satellite fine-mode fraction (FMF) retrieval: one is the FMF product based on the spectral deconvolution (SDA) method (O’Neill et al, 2001a, b, 2003) and the other is based on the size distribution (SD) retrieval product (Dubovik and King, 2000)
The multiangle polarization data of PARASOL were used to perform FMF retrieval and the retrieval results were compared with the AErosol RObotic NETwork (AERONET) ground-based observations, Moderate Resolution Imaging Spectroradiometer (MODIS) results, and Generalized Retrieval of Aerosol and Surface Properties (GRASP) results
Summary
Aerosols have a great impact on human production, life, and climate change (Kaufman et al, 2002; Huang et al, 2014; Shi et al, 2018). The research of other scholars on the retrieval of new aerosol parameters based on the LUT method, the results produced by the algorithm have high retrieval accuracy, generally only focus on a specific area, and the spatial scale is not large (Cheng et al, 2012; Xie et al, 2013; Wang et al, 2015; Qie et al, 2015; Wang et al, 2018). Yan et al (2017, 2019) achieved high-precision FMF retrieval based on the LUT-SDA method, their method is mainly oriented to traditional multispectral scalar sensors To apply this method to multiangle polarization sensors, it is necessary to perform a series of algorithm adjustments.
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