Solar radiometer sensing of multi-year aerosol features over a tropical urban station: direct-Sun and inversion products
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Published:2020-10-20
Issue:10
Volume:13
Page:5569-5593
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Vijayakumar Katta, Devara Panuganti C. S., Sonbawne Sunil M., Giles David M.ORCID, Holben Brent N.ORCID, Rao Sarangam Vijaya Bhaskara, Jayasankar Chalicheemalapalli K.
Abstract
Abstract. The AErosol RObotic NETwork (AERONET) is the most developed
ground-based network for aerosol remote sensing and has been playing a
significant role not only in monitoring air quality for protecting human
health but also in assessing the radiative budget of our planet Earth. In
this paper, we report the direct-Sun and inversion products, comprising of
spectral variation of aerosol optical depth (AOD), associated
Ångström exponent (AE), fine- and coarse-mode aerosol fractions,
aerosol size distribution (ASD), refractive index (RI), asymmetry parameter
(AP), single scattering albedo (SSA), aerosol radiative forcing (ARF) and
columnar concentration of gas constituents such as water vapor (H2O),
obtained from a Cimel Sun–sky radiometer, functioning in Pune, India, under
the AERONET program since October 2004. These long-term measurements carried
out from 2005 to 2015 could serve as an urban aerosol optical long-term
average or climatology. The AOD long-term variations at all wavelengths,
considered in the study, exhibited an increasing trend, implying year-to-year
enhancement in aerosol loading. The mean seasonal variations in AOD from
cloud-free days indicated greater values during the monsoon season, revealing dominance
of hygroscopic aerosol particles over the station. Contribution by different
aerosol types to AOD has also been deduced and discussed, and dominance of
a mixed type of aerosols (44.85 %) found, followed by combination of biomass
burning and urban industrial aerosols (22.57 %) compared to other types
of aerosols during the study period. The long-term datasets, derived aerosol
and trace gas products play a significant role in understanding aerosol climate
forcing, trends and evaluation of regional air pollution and validation of
aerosol transport models over the study region.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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