Improving Calculation Accuracies of Accumulation-Mode Fractions Based on Spectral of Aerosol Optical Depths

35th International Symposium on Remote Sensing of Environment

地球科学;生态环境科学

Ying, Zhang^1,2 ; Zhengqiang, Li^1 ; Yan, Wang^1

State Environmental Protection Key Laboratory of Satellites Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China^1

University of Chinese Academy of Sciences, Beijing 100049, China^2

关键词: Accumulation modes;    Aerosol robotic networks;    Angstrom index;    Coarse mode;    Direct radiative forcing;    Parameterization method;    Scattering and absorption;    Spectral deconvolution;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012013/pdf
DOI  :  10.1088/1755-1315/17/1/012013

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Anthropogenic aerosols are released into the atmosphere, which cause scattering and absorption of incoming solar radiation, thus exerting a direct radiative forcing on the climate system. Anthropogenic Aerosol Optical Depth (AOD) calculations are important in the research of climate changes. Accumulation-Mode Fractions (AMFs) as an anthropogenic aerosol parameter, which are the fractions of AODs between the particulates with diameters smaller than 1μm and total particulates, could be calculated by AOD spectral deconvolution algorithm, and then the anthropogenic AODs are obtained using AMFs. In this study, we present a parameterization method coupled with an AOD spectral deconvolution algorithm to calculate AMFs in Beijing over 2011. All of data are derived from AErosol RObotic NETwork (AERONET) website. The parameterization method is used to improve the accuracies of AMFs compared with constant truncation radius method. We find a good correlation using parameterization method with the square relation coefficient of 0.96, and mean deviation of AMFs is 0.028. The parameterization method could also effectively solve AMF underestimate in winter. It is suggested that the variations of Angstrom indexes in coarse mode have significant impacts on AMF inversions.