论文信息 - Remotely sensing chemical composition of atmospheric aerosols from ground-based radiometric and polarimetric observations

Remotely sensing chemical composition of atmospheric aerosols from ground-based radiometric and polarimetric observations

An improved scheme has been developed to retrieve volume fraction of aerosol chemical composition like black carbon (BC), mineral dust (DU), ammonium sulfate-like (AS) and water content from aerosol complex refractive indices and size distribution remotely obtained from ground-based sun-sky radiometer measurements. Typical observations in Beijing during 2011 were selected to investigate chemical composition retrieval results at clear, haze and dusty days respectively. The retrieved BC mass concentration was compared with coincident aethalometer.

Zhengqiang Li | Philippe Goloub | Kaitao Li | Donghui Li | Ling Wang

[1] Didier Tanré,et al. Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations , 2010 .

[2] Oleg Dubovik,et al. Inferring black carbon content and specific absorption from Aerosol Robotic Network (AERONET) aerosol retrievals , 2005 .

[3] Zhengqiang Li,et al. Spectral behavior of imaginary part of aerosol refractive index obtained from ground-based sun-sky radiometer measurements in Beijing, China , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[4] P. Goloub,et al. Transferring the calibration of direct solar irradiance to diffuse-sky radiance measurements for CIMEL Sun-sky radiometers. , 2008, Applied optics.

[5] P. Goloub,et al. Calibration of the degree of linear polarization measurement of polarized radiometer using solar light. , 2010, Applied optics.

[6] R. Bergstrom,et al. Predictions of the spectral absorption and extinction coefficients of an urban air pollution aerosol model. , 1972, Atmospheric environment.