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...
Published in: | Annales Geophysicae |
---|---|
Main Authors: | , , , |
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 |
id |
ftqataruniv:oai:qspace.qu.edu.qa:10576/18214 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1765997047744299008 |