Literature DB >> 23747555

Inferring wavelength dependence of AOD and Ångström exponent over a sub-tropical station in South Africa using AERONET data: influence of meteorology, long-range transport and curvature effect.

K Raghavendra Kumar1, V Sivakumar, R R Reddy, K Rama Gopal, A Joseph Adesina.   

Abstract

Aerosol optical properties over a southern sub-tropical site Skukuza, South Africa were studied to determine the variability of the aerosol characteristics using CIMEL Sunphotometer data as part of the AErosol RObotic NETwork (AERONET) from December 2005 to November 2006. Aerosol optical depth (AOD), Ångström exponent (α), and columnar water vapor (CWV) data were collected, analyzed, and compiled. Participating in this network provided a unique opportunity for understanding the sources of aerosols affecting the atmosphere of South Africa (SA) and the regional radiation budget. The meteorological patterns significantly (p<0.05) influenced the amount and size distribution of the aerosols. Results showed that seasonal variation of AOD at 500 nm (AOD500) over the observation site were characterized by low values (0.10-0.13) in autumn, moderate values (0.14-0.16) in summer and winter seasons, and high to very high values (0.18-0.40) during the spring, with an overall mean value of 0.18±0.12. Ångström exponent α(440-870), varied from 0.5 to 2.89, with significant (p<0.0001) seasonal variability. CWV showed a strong annual cycle with maximum values in the summer and autumn seasons. The relationship between AOD, Ångström exponent (α), and CWV showed a strong dependence (p<0.0001) of α on AOD and CWV, while there was no significant correlation between AOD and CWV. Investigation of the adequacy of the simple use of the spectral AOD and Ångström exponent data was used in deriving the curvature (a2) showed to obtain information for determining the aerosol-particle size. The negative a2 values are characterized by aerosol-size dominated by fine-mode (0.1-1 μm), while the positive curvatures indicate abundance of coarse particles (>1 μm). Trajectory cluster analyses revealed that the air masses during the autumn and winter seasons have longer advection pathways, passing over the ocean and continent. This is reflected in the aerosol properties that are derived from the ocean, desert, and anthropogenic activities that include biomass burning and industrial pollution.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Air pollution; Atmospheric aerosols; Meteorology; Particle size; Remote sensing

Mesh:

Substances:

Year:  2013        PMID: 23747555     DOI: 10.1016/j.scitotenv.2013.04.095

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

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2.  Characteristics of columnar aerosol optical and microphysical properties retrieved from the sun photometer and its impact on radiative forcing over Skukuza (South Africa) during 1999-2010.

Authors:  Ayodele Joseph Adesina; Stuart Piketh; Raghavendra Kumar Kanike; Sivakumar Venkataraman
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Journal:  Environ Sci Pollut Res Int       Date:  2016-05-27       Impact factor: 4.223

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Journal:  Sci Afr       Date:  2022-04-25

5.  Gradient boosting machine learning to improve satellite-derived column water vapor measurement error.

Authors:  Allan C Just; Yang Liu; Meytar Sorek-Hamer; Johnathan Rush; Michael Dorman; Robert Chatfield; Yujie Wang; Alexei Lyapustin; Itai Kloog
Journal:  Atmos Meas Tech       Date:  2020-09-02       Impact factor: 4.176

  5 in total

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