Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals

ABSTRACT Daily measurements of aerosol optical depth ( τ ) and Ångstrom wavelength exponent ( α ) acquired from Aerosol Robotic Network (AERONET) and Moderate Resolution Imaging Spectrometer (MODIS) are analysed over Lahore – an urban city of Pakistan (period: 2010–2014) to investigate contribution...

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Published in:International Journal of Climatology
Main Authors: Zafar, Qudsia, Zafar, Sidra, Holben, Brent
Other Authors: GCISC
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2017
Subjects:
Online Access:http://dx.doi.org/10.1002/joc.5230
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spelling crwiley:10.1002/joc.5230 2024-06-02T07:54:22+00:00 Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals Zafar, Qudsia Zafar, Sidra Holben, Brent GCISC 2017 http://dx.doi.org/10.1002/joc.5230 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.5230 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5230 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 38, issue 2, page 1022-1040 ISSN 0899-8418 1097-0088 journal-article 2017 crwiley https://doi.org/10.1002/joc.5230 2024-05-03T10:48:16Z ABSTRACT Daily measurements of aerosol optical depth ( τ ) and Ångstrom wavelength exponent ( α ) acquired from Aerosol Robotic Network (AERONET) and Moderate Resolution Imaging Spectrometer (MODIS) are analysed over Lahore – an urban city of Pakistan (period: 2010–2014) to investigate contribution of different types of aerosols originating from both local and regional source locations. The obtained annual averages (mean ± standard deviation) for AERONET retrievals of τ (500 nm) and α (440–870 nm) are 0.68 ± 0.37 (0.08–2.91) and 0.99 ± 0.33 (0–1.8), respectively. Of all the sources, 61% are found within Pakistan, 11% in India, 19% in Afghanistan, 6% in Iran and 2% in Saudi Arabia with seasonal contributions of 35, 25, 23 and 17% in pre‐monsoon, monsoon, winter and post‐monsoon, respectively. The bimodal distributions of α show dominance of coarse‐mode particles during pre‐monsoon, fine‐mode particles during post‐monsoon and presence of both coarse‐mode and fine‐mode particles during winter and monsoon with winter showing more fine‐mode particles. Two broad classes of aerosols namely desert dust (DD) and biomass burning/urban industrial (BU) are identified with criteria, e.g. τ ≥ 0.3 and α ≤ 0.75 indicating presence of DD while τ ≥ 0.2 and α ≥ 1.15 indicating BU. The frequency of occurrence (FOO) of DD and BU aerosols is further identified by applying classification criteria over Aqua‐MODIS deep blue retrievals. The FOO identifies anthropogenic activity on‐going throughout the year, disrupted with DD aerosols only during pre‐monsoon and monsoon. The maximum dust activity is seen over Indo‐Gangetic plains (IGP) (localized maxima: 35–45%) and the Arabian peninsula (>55%) during pre‐monsoon, while maximum BU aerosols are found over IGP, central and south‐eastern plains of India and the state of Gujarat (localized maxima: >70%) in winter and post‐monsoon. Article in Journal/Newspaper Aerosol Robotic Network Wiley Online Library International Journal of Climatology 38 2 1022 1040
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description ABSTRACT Daily measurements of aerosol optical depth ( τ ) and Ångstrom wavelength exponent ( α ) acquired from Aerosol Robotic Network (AERONET) and Moderate Resolution Imaging Spectrometer (MODIS) are analysed over Lahore – an urban city of Pakistan (period: 2010–2014) to investigate contribution of different types of aerosols originating from both local and regional source locations. The obtained annual averages (mean ± standard deviation) for AERONET retrievals of τ (500 nm) and α (440–870 nm) are 0.68 ± 0.37 (0.08–2.91) and 0.99 ± 0.33 (0–1.8), respectively. Of all the sources, 61% are found within Pakistan, 11% in India, 19% in Afghanistan, 6% in Iran and 2% in Saudi Arabia with seasonal contributions of 35, 25, 23 and 17% in pre‐monsoon, monsoon, winter and post‐monsoon, respectively. The bimodal distributions of α show dominance of coarse‐mode particles during pre‐monsoon, fine‐mode particles during post‐monsoon and presence of both coarse‐mode and fine‐mode particles during winter and monsoon with winter showing more fine‐mode particles. Two broad classes of aerosols namely desert dust (DD) and biomass burning/urban industrial (BU) are identified with criteria, e.g. τ ≥ 0.3 and α ≤ 0.75 indicating presence of DD while τ ≥ 0.2 and α ≥ 1.15 indicating BU. The frequency of occurrence (FOO) of DD and BU aerosols is further identified by applying classification criteria over Aqua‐MODIS deep blue retrievals. The FOO identifies anthropogenic activity on‐going throughout the year, disrupted with DD aerosols only during pre‐monsoon and monsoon. The maximum dust activity is seen over Indo‐Gangetic plains (IGP) (localized maxima: 35–45%) and the Arabian peninsula (>55%) during pre‐monsoon, while maximum BU aerosols are found over IGP, central and south‐eastern plains of India and the state of Gujarat (localized maxima: >70%) in winter and post‐monsoon.
author2 GCISC
format Article in Journal/Newspaper
author Zafar, Qudsia
Zafar, Sidra
Holben, Brent
spellingShingle Zafar, Qudsia
Zafar, Sidra
Holben, Brent
Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
author_facet Zafar, Qudsia
Zafar, Sidra
Holben, Brent
author_sort Zafar, Qudsia
title Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_short Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_full Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_fullStr Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_full_unstemmed Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals
title_sort seasonal assessment and classification of aerosols transported to lahore using aeronet and modis deep blue retrievals
publisher Wiley
publishDate 2017
url http://dx.doi.org/10.1002/joc.5230
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.5230
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.5230
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source International Journal of Climatology
volume 38, issue 2, page 1022-1040
ISSN 0899-8418 1097-0088
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op_doi https://doi.org/10.1002/joc.5230
container_title International Journal of Climatology
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container_issue 2
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