Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing
The aerosols in the Indo-Gangetic Basin (IGB) are a mixture of sulfate, dust, black carbon, and other soluble and insoluble components. It is a challenge not only to identify these various aerosol types, but also to assess the optical and radiative implications of these components. In the present st...
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ftcsirnpl:oai:npl.csircentral.net:1853 2023-05-15T13:06:43+02:00 Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing Tiwari, S. Srivastava, A. K. Singh, A. K. Singh, Sachchidanand 2015-08 application/pdf http://npl.csircentral.net/1853/ http://npl.csircentral.net/1853/1/160.pdf unknown Springer Verlag http://npl.csircentral.net/1853/1/160.pdf Tiwari, S. and Srivastava, A. K. and Singh, A. K. and Singh, Sachchidanand (2015) Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing. Environmental Science and Pollution Research, 22 (6). 12246-12260 . ISSN 0944-1344 Climatology Article PeerReviewed 2015 ftcsirnpl 2021-08-04T08:27:27Z The aerosols in the Indo-Gangetic Basin (IGB) are a mixture of sulfate, dust, black carbon, and other soluble and insoluble components. It is a challenge not only to identify these various aerosol types, but also to assess the optical and radiative implications of these components. In the present study, appropriate thresholds for fine-mode fraction and single-scattering albedo have been used to first identify the aerosol types over IGB. Four major aerosol types may be identified as polluted dust (PD), polluted continental (PC), black carbon-enriched (BCE), and organic carbon-enriched (OCE). Further, the implications of these different types of aerosols on optical properties and radiative forcing have been studied. The aerosol products derived from CIMEL sun/sky radiometer measurements, deployed under Aerosol Robotic Network program of NASA, USA were used from four different sites Karachi, Lahore, Jaipur, and Kanpur, spread over Pakistan and Northern India. PD is the most dominant aerosol type at Karachi and Jaipur, contributing more than 50 % of all the aerosol types. OCE, on the other hand, contributes only about 12-15 % at all the stations except at Kanpur where its contribution is similar to 38 %. The spectral dependence of AOD was relatively low for PD aerosol type, with the lowest AE values (<0.5); whereas, large spectral dependence in AOD was observed for the remaining aerosol types, with the highest AE values (>1.0). SSA was found to be the highest for OCE (>0.9) and the lowest for BCE (<0.9) type aerosols, with drastically different spectral variability. The direct aerosol radiative forcing at the surface and in the atmosphere was found to be the maximum at Lahore among all the four stations in the IGB. Article in Journal/Newspaper Aerosol Robotic Network IR@NPL - National Physical Laboratory (CSIR) |
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Climatology |
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Climatology Tiwari, S. Srivastava, A. K. Singh, A. K. Singh, Sachchidanand Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing |
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Climatology |
description |
The aerosols in the Indo-Gangetic Basin (IGB) are a mixture of sulfate, dust, black carbon, and other soluble and insoluble components. It is a challenge not only to identify these various aerosol types, but also to assess the optical and radiative implications of these components. In the present study, appropriate thresholds for fine-mode fraction and single-scattering albedo have been used to first identify the aerosol types over IGB. Four major aerosol types may be identified as polluted dust (PD), polluted continental (PC), black carbon-enriched (BCE), and organic carbon-enriched (OCE). Further, the implications of these different types of aerosols on optical properties and radiative forcing have been studied. The aerosol products derived from CIMEL sun/sky radiometer measurements, deployed under Aerosol Robotic Network program of NASA, USA were used from four different sites Karachi, Lahore, Jaipur, and Kanpur, spread over Pakistan and Northern India. PD is the most dominant aerosol type at Karachi and Jaipur, contributing more than 50 % of all the aerosol types. OCE, on the other hand, contributes only about 12-15 % at all the stations except at Kanpur where its contribution is similar to 38 %. The spectral dependence of AOD was relatively low for PD aerosol type, with the lowest AE values (<0.5); whereas, large spectral dependence in AOD was observed for the remaining aerosol types, with the highest AE values (>1.0). SSA was found to be the highest for OCE (>0.9) and the lowest for BCE (<0.9) type aerosols, with drastically different spectral variability. The direct aerosol radiative forcing at the surface and in the atmosphere was found to be the maximum at Lahore among all the four stations in the IGB. |
format |
Article in Journal/Newspaper |
author |
Tiwari, S. Srivastava, A. K. Singh, A. K. Singh, Sachchidanand |
author_facet |
Tiwari, S. Srivastava, A. K. Singh, A. K. Singh, Sachchidanand |
author_sort |
Tiwari, S. |
title |
Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing |
title_short |
Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing |
title_full |
Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing |
title_fullStr |
Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing |
title_full_unstemmed |
Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing |
title_sort |
identification of aerosol types over indo-gangetic basin: implications to optical properties and associated radiative forcing |
publisher |
Springer Verlag |
publishDate |
2015 |
url |
http://npl.csircentral.net/1853/ http://npl.csircentral.net/1853/1/160.pdf |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
http://npl.csircentral.net/1853/1/160.pdf Tiwari, S. and Srivastava, A. K. and Singh, A. K. and Singh, Sachchidanand (2015) Identification of aerosol types over Indo-Gangetic Basin: implications to optical properties and associated radiative forcing. Environmental Science and Pollution Research, 22 (6). 12246-12260 . ISSN 0944-1344 |
_version_ |
1766017970722570240 |