Spectral behavior of imaginary part of aerosol refractive index obtained from ground-based sun-sky radiometer measurements in Beijing, China

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2012, Pages 2528-2531

  Wang, Ling ^a,b   Li, Zhengqiang ^b   Tian, Qingjiu ^a  

^a NANJING UNIVERSITY   (China)

^b INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

Author keywords

aerosol; chemical components; refractive index; sun sky radiometer

Indexed keywords

AEROSOL COMPOSITION; AEROSOL ROBOTIC NETWORKS; ANGSTROM EXPONENT; BEIJING , CHINA; BLACK CARBON; CHEMICAL COMPONENT; GROUND BASED; IMAGINARY PARTS; MINERAL DUST; MINIMUM VALUE; SEASONAL VARIATION; SPECTRAL BEHAVIORS; SPECTRAL MEASUREMENT; WAVELENGTH DEPENDENCE;

AEROSOLS; ATMOSPHERIC AEROSOLS; GEOLOGY; RADIOMETERS; REMOTE SENSING;

REFRACTIVE INDEX;

EID: 84873173500     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6350337     Document Type: Conference Paper

References (12)

1. S.K. Satheesh and V. Ramanathan, "Large differences in tropical aerosol forcing at the top of the atmosphere and Earth's surface", Nature, vol. 405, pp. 60- 63, 2000.
2. B.N. Holben, T.F. Eck, I. Slutsker, et al., "Aeronent-A federated instrument network and data achieve for aerosol characterization", Remote Sensing Environment, vol. 66, pp. 1-16, 1998.
3. O. Dubovik and M.D. King. "Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) sun and sky radiance measurements", J. Geophys. Res., vol. 105, pp. 9791- 9806, 2000.
4. O. Dubovik, A. Sinyuk, T. Lapyonok, et al., "Application of spheroid models to account for aerosol particle nonsphericity in remonte sensing of desert dust", J. Geophys. Res., vol. 111, doi:10.1029/2005JD006619, 2006.
5. R.W. Bergstrom, P.B. Russell and P. Hignett, "On the Wavelength Dependence of the Absorption of Black Carbon Particles: Predictions and Results from the TARFOX Experiment and Implications for the Aerosol Single Scattering Albedo", Journal of Atmospheric Sciences, 2000.
6. R.W. Bergstrom, "Predictions of the spectral absorption and extinction coefficients of an urban air pollution model", Atmos. Environ., vol. 6, pp. 247-258, 1972.
7. G.A. d'Almeida, P. Koepke and E.P.H. Shettle, Atmospheric Aerosols: Global Climatology and Radiative Characteristics, VA: A.Deepak Publishing, 1991.
8. C.D. Koven and I. Fung, "Inferring dust composition from wavelength-dependent absorption in Aerosol Robotic Network (AERONET) data", J. Geophys. Res., vol. 111, doi: 10.1029/2005jd006678, 2006.
9. J.B. Gillespie and J.D. Lindberg, "Ultraviolet and visible imaginary refractive-index of strongly absorbing atmospheric particulate matter". Appl. Opt., vol. 31, pp. 2112- 2115, 1992.
10. I.N. Sokolik and O.B. Toon, "Incorporation of mineralogical composition into models of the radiative properties of mineral aerosol from UV to IR wavelengths", J. Geophys. Res., vol. 104, pp. 9423- 9444, 1999.
11. R. Wagner, T. Ajtai, K. Kandler, et al, "Complex refractive indices of Saharan dust samples at visible and near UV wavelengths: a laboratory study", Atmos. Chem. Phys. Discuss., pp. 21363-21427, 2011.
12. P.B. Russell, R.W. Bergstrom, Y. Shinozuka, et al, "Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition", Atmos. Chem. Phys., vol. 10, pp. 1155-1169, 2010.