Title of article :
Retrieval of aerosol size distribution from multi-angle polarized measurements assisted by intensity measurements over East China
Author/Authors :
Wang، نويسنده , , Zhongting and Chen، نويسنده , , Liangfu and Li، نويسنده , , Qing and Li، نويسنده , , Shenshen and Jiang، نويسنده , , Zhe and Wang، نويسنده , , Zifeng، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
10
From page :
679
To page :
688
Abstract :
Integrating multi-angle, multi-spectral, and polarized measurements can improve the accuracy of retrieved aerosol microphysical properties, such as aerosol size distribution and complex refractive index. Using polarized measurements assisted by intensity measurements, a new algorithm to retrieve aerosol size distribution is developed. Constrained by fine-mode aerosol optical depth (AOD) extracted from polarization and anisotropy of reflectances for atmospheric science coupled with observations from a LIDAR (PARASOL) intensity measurements, aerosol size distribution is retrieved from multi-angle polarized measurements of PARASOL. The retrieved results of our algorithm are compared with ground-based measurements from Beijing, Xianghe, and Hong Kong Polytechnic University (PolyU) sites in the PHOtométrie pour le Traitement Opérational de Normalisation Satellitaire (PHOTONS) network included in the worldwide Aerosol Robotic Network (AERONET), and the correlation coefficient of AOD is greater than 0.7, whereas the modal radii is greater than AERONET/PHOTONS. The discussions of complex refractive index, fixed surface reflectance in the blue, fixed parameters for the coarse‐mode size distribution, and restricted range for fine/coarse fraction show the potential for algorithm improvement in the future.
Keywords :
Remote sensing , DDV , Aerosol size distribution , Polarization
Journal title :
Remote Sensing of Environment
Serial Year :
2012
Journal title :
Remote Sensing of Environment
Record number :
1632488
Link To Document :
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