Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data

In this paper particle categorization and absorption properties were discussed to understand transport mechanisms at different geographic locations and possible radiative impacts on climate. The long-term Aerosol Robotic Network (AERONET) data set (1999–2015) is used to estimate aerosol optical dept...

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Published in:Annales Geophysicae
Main Authors: Farahat, Ashraf, El-Askary, Hesham, Adetokunbo, Peter, Fuad, Abu-Tharr
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH
Subjects:
Online Access:http://hdl.handle.net/10576/18214
https://doi.org/10.5194/angeo-34-1031-2016
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spelling ftqataruniv:oai:qspace.qu.edu.qa:10576/18214 2023-05-15T13:06:14+02:00 Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data Farahat, Ashraf El-Askary, Hesham Adetokunbo, Peter Fuad, Abu-Tharr http://hdl.handle.net/10576/18214 https://doi.org/10.5194/angeo-34-1031-2016 en eng Copernicus GmbH http://dx.doi.org/10.5194/angeo-34-1031-2016 http://hdl.handle.net/10576/18214 1031-1044 11 34 Atmospheric composition and structure (aerosols and particles pollution - urban and regional) Article ftqataruniv https://doi.org/10.5194/angeo-34-1031-2016 2022-07-13T15:04:49Z In this paper particle categorization and absorption properties were discussed to understand transport mechanisms at different geographic locations and possible radiative impacts on climate. The long-term Aerosol Robotic Network (AERONET) data set (1999–2015) is used to estimate aerosol optical depth (AOD), single scattering albedo (SSA), and the absorption �ngstr�m exponent (?abs) at eight locations in North Africa and the Middle East. Average variation in SSA is calculated at four wavelengths (440, 675, 870, and 1020 nm), and the relationship between aerosol absorption and physical properties is used to infer dominant aerosol types at different locations. It was found that seasonality and geographic location play a major role in identifying dominant aerosol types at each location. Analyzing aerosol characteristics among different sites using AERONET Version 2, Level 2.0 data retrievals and the Hybrid Single Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectories shows possible aerosol particle transport among different locations indicating the importance of understanding transport mechanisms in identifying aerosol sources. The authors would like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at the King Fahd University of Petroleum and Minerals (KFUPM) for funding this work through project no. IN121064. Scopus Article in Journal/Newspaper Aerosol Robotic Network Qatar University: QU Institutional Repository Annales Geophysicae 34 11 1031 1044
institution Open Polar
collection Qatar University: QU Institutional Repository
op_collection_id ftqataruniv
language English
topic Atmospheric composition and structure (aerosols and particles
pollution - urban and regional)
spellingShingle Atmospheric composition and structure (aerosols and particles
pollution - urban and regional)
Farahat, Ashraf
El-Askary, Hesham
Adetokunbo, Peter
Fuad, Abu-Tharr
Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data
topic_facet Atmospheric composition and structure (aerosols and particles
pollution - urban and regional)
description In this paper particle categorization and absorption properties were discussed to understand transport mechanisms at different geographic locations and possible radiative impacts on climate. The long-term Aerosol Robotic Network (AERONET) data set (1999–2015) is used to estimate aerosol optical depth (AOD), single scattering albedo (SSA), and the absorption �ngstr�m exponent (?abs) at eight locations in North Africa and the Middle East. Average variation in SSA is calculated at four wavelengths (440, 675, 870, and 1020 nm), and the relationship between aerosol absorption and physical properties is used to infer dominant aerosol types at different locations. It was found that seasonality and geographic location play a major role in identifying dominant aerosol types at each location. Analyzing aerosol characteristics among different sites using AERONET Version 2, Level 2.0 data retrievals and the Hybrid Single Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectories shows possible aerosol particle transport among different locations indicating the importance of understanding transport mechanisms in identifying aerosol sources. The authors would like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at the King Fahd University of Petroleum and Minerals (KFUPM) for funding this work through project no. IN121064. Scopus
format Article in Journal/Newspaper
author Farahat, Ashraf
El-Askary, Hesham
Adetokunbo, Peter
Fuad, Abu-Tharr
author_facet Farahat, Ashraf
El-Askary, Hesham
Adetokunbo, Peter
Fuad, Abu-Tharr
author_sort Farahat, Ashraf
title Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data
title_short Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data
title_full Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data
title_fullStr Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data
title_full_unstemmed Analysis of aerosol absorption properties and transport over North Africa and the Middle East using AERONET data
title_sort analysis of aerosol absorption properties and transport over north africa and the middle east using aeronet data
publisher Copernicus GmbH
url http://hdl.handle.net/10576/18214
https://doi.org/10.5194/angeo-34-1031-2016
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_relation http://dx.doi.org/10.5194/angeo-34-1031-2016
http://hdl.handle.net/10576/18214
1031-1044
11
34
op_doi https://doi.org/10.5194/angeo-34-1031-2016
container_title Annales Geophysicae
container_volume 34
container_issue 11
container_start_page 1031
op_container_end_page 1044
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