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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 30, issue 9
Ann. Geophys., 30, 1393–1410, 2012
https://doi.org/10.5194/angeo-30-1393-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ann. Geophys., 30, 1393–1410, 2012
https://doi.org/10.5194/angeo-30-1393-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

Regular paper 27 Sep 2012

Regular paper | 27 Sep 2012

Characteristics of aerosols over Hyderabad in southern Peninsular India: synergy in the classification techniques

P. R. Sinha1, D. G. Kaskaoutis2, R. K. Manchanda1, and S. Sreenivasan1 P. R. Sinha et al.
  • 1National Balloon Facility, Tata Institute of Fundamental Research, ECIL Post 5, Hyderabad – 500 062, India
  • 2Research and Technology Development Center, Sharda~University, Greater Noida, NCR – 201306, India

Abstract. The present study focuses on analyzing the seasonal changes in aerosol characteristics using a classification scheme proposed by Gobbi et al. (2007). This scheme is based on the correlation between the Ångström exponent (α) in the 440–870 nm range and the difference in α values [dα = α (440–675 − α(675–870)] including the size of fine-mode particles (Rf) and the fine-mode fraction (η). The classification scheme can therefore provide information on the aerosol characteristics and their modification in transit. Spectral aerosol measurements using the Microtops-II sun photometer (MT-II) have systematically been conducted in Hyderabad, India during April 2009–March 2010 and analysed to study the seasonal effects. The results reveal a seasonal dependence, i.e. the presence of fine-mode aerosols under turbid atmospheres in winter and post-monsoon, a mixture of fine and coarse aerosol types in pre-monsoon and a significant influence of marine mixed with dust air masses during the monsoon season. The identification of the aerosol source type and the modification processes are discussed along with clustered air-mass trajectory analysis. Furthermore, we have also checked the consistency of this scheme with the findings arrived from the columnar size distributions (CSDs) computed by numerical inversion of spectral AOD using King's inversion algorithm and the scatter plot between AOD and spectral α. The comparison clearly demonstrates the usefulness of the classification scheme and highlights its advantages for the monitoring and study of seasonal variation of the aerosol types and the modification processes in the atmosphere.

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