Journal
ATMOSPHERIC ENVIRONMENT
Volume 54, Issue -, Pages 449-455Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2012.02.016
Keywords
South Asian winter haze; Aerosol optical depth; Spectral curvature; Ground-based remote sensing; Solar radiometry
Funding
- Indian Space Research Organisation (through ISRO-GBP)
- Council of Scientific and Industrial Research (CSIR, India)
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Every year during the winter and pre-monsoon periods most of the Indian peninsula, Bay of Bengal and the adjoining Indian Ocean are affected by a polluted regional haze, known as the South Asian Winter Haze (SAWH). This article is the first of a series of three papers collectively anticipated at the central idea of retrieving aerosol component type and effective radius of the SAWH by incorporating experimental data of ground-based solar radiometer into Mie theory, and validation by collocated in-situ measurements. The work presented in this paper provides an approach to retrieve optical depths and their spectral curvature for SAWH at a tropical coastal station, Visakhapatnam (17.7 degrees N, 83.3 degrees E). A dataset comprised of 92 wintertime atmospheric optical depths are obtained from spectral extinction measurements of direct solar flux by means of a Multi-Wavelength Solar Radiometer during the period of October 2002 to February 2004. The inter-channel correlations established a linear relation and the airmass conditions specific to this dataset suggested a two-component linear model; the stable and variable components of which are analysed to obtain the mentioned optical parameters. Results indicate that the spectral curvature is best represented by a Lorentz model with a central wavelength of 0.40425 +/- 0.02945 mu m, a width of 0.40382 +/- 0.10253 mu m, a constant of 0.92623 +/- 0.33793, and a wavelength independent component of 0.95778 +/- 0.15678. Resonance-like structure of the obtained spectral curvature resembles wavelength dependent extinction characteristic of absorbing soot particles; thereby supports the key findings from INDOEX campaign. (C) 2012 Elsevier Ltd. All rights reserved.
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