WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health

Abstract We use the Weather Research and Forecast model using the Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) dust module (WRF‐CHEM) to simulate the particulate matter (PM) variations in the Sahel during the winter seasons (January–March) of 1960–2014. Two simulations are...

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Published in:GeoHealth
Main Authors: Gregory S. Jenkins, Moussa Gueye
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union (AGU) 2018
Subjects:
NAO
Online Access:https://doi.org/10.1002/2018GH000132
https://doaj.org/article/978ffeb800454a06af896e224b071f23
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spelling ftdoajarticles:oai:doaj.org/article:978ffeb800454a06af896e224b071f23 2023-05-15T17:33:39+02:00 WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health Gregory S. Jenkins Moussa Gueye 2018-08-01T00:00:00Z https://doi.org/10.1002/2018GH000132 https://doaj.org/article/978ffeb800454a06af896e224b071f23 EN eng American Geophysical Union (AGU) https://doi.org/10.1002/2018GH000132 https://doaj.org/toc/2471-1403 2471-1403 doi:10.1002/2018GH000132 https://doaj.org/article/978ffeb800454a06af896e224b071f23 GeoHealth, Vol 2, Iss 8, Pp 248-260 (2018) Sahara transport Sahel NAO Environmental protection TD169-171.8 article 2018 ftdoajarticles https://doi.org/10.1002/2018GH000132 2022-12-31T02:04:06Z Abstract We use the Weather Research and Forecast model using the Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) dust module (WRF‐CHEM) to simulate the particulate matter (PM) variations in the Sahel during the winter seasons (January–March) of 1960–2014. Two simulations are undertaken where the direct aerosol feedback is turned off, and only transport is considered and where the direct aerosol feedback is turned on. We find that simulated Sahelian PM10 and PM2.5 concentrations were lower in the 1960s and after 2003 and higher during the period between 1988 and 2002. Higher Sahelian PM10 concentrations are due to stronger winds between the surface and 925 hPa over the Sahara, which transport dust into the Sahel. Negative PM10 concentration anomalies are found over the Bodele Depression and associated with weaker 925 wind anomalies after 1997 through 2014. Further west, positive PM10 concentration anomalies are found across the Adrar Plateau in the Sahara and responsible for dust transport to the Western Sahel. The North Atlantic Oscillation (NAO) is positively correlated to Sahelian dust concentrations especially during the periods of 1960–1970 and 1988–2002. The temporal/spatial patterns of PM10 concentrations have significant respiratory health implications for inhabitants of the Sahel. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Directory of Open Access Journals: DOAJ Articles GeoHealth 2 8 248 260
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Sahara
transport
Sahel
NAO
Environmental protection
TD169-171.8
spellingShingle Sahara
transport
Sahel
NAO
Environmental protection
TD169-171.8
Gregory S. Jenkins
Moussa Gueye
WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health
topic_facet Sahara
transport
Sahel
NAO
Environmental protection
TD169-171.8
description Abstract We use the Weather Research and Forecast model using the Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) dust module (WRF‐CHEM) to simulate the particulate matter (PM) variations in the Sahel during the winter seasons (January–March) of 1960–2014. Two simulations are undertaken where the direct aerosol feedback is turned off, and only transport is considered and where the direct aerosol feedback is turned on. We find that simulated Sahelian PM10 and PM2.5 concentrations were lower in the 1960s and after 2003 and higher during the period between 1988 and 2002. Higher Sahelian PM10 concentrations are due to stronger winds between the surface and 925 hPa over the Sahara, which transport dust into the Sahel. Negative PM10 concentration anomalies are found over the Bodele Depression and associated with weaker 925 wind anomalies after 1997 through 2014. Further west, positive PM10 concentration anomalies are found across the Adrar Plateau in the Sahara and responsible for dust transport to the Western Sahel. The North Atlantic Oscillation (NAO) is positively correlated to Sahelian dust concentrations especially during the periods of 1960–1970 and 1988–2002. The temporal/spatial patterns of PM10 concentrations have significant respiratory health implications for inhabitants of the Sahel.
format Article in Journal/Newspaper
author Gregory S. Jenkins
Moussa Gueye
author_facet Gregory S. Jenkins
Moussa Gueye
author_sort Gregory S. Jenkins
title WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health
title_short WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health
title_full WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health
title_fullStr WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health
title_full_unstemmed WRF 1960–2014 Winter Season Simulations of Particulate Matter in the Sahel: Implications for Air Quality and Respiratory Health
title_sort wrf 1960–2014 winter season simulations of particulate matter in the sahel: implications for air quality and respiratory health
publisher American Geophysical Union (AGU)
publishDate 2018
url https://doi.org/10.1002/2018GH000132
https://doaj.org/article/978ffeb800454a06af896e224b071f23
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source GeoHealth, Vol 2, Iss 8, Pp 248-260 (2018)
op_relation https://doi.org/10.1002/2018GH000132
https://doaj.org/toc/2471-1403
2471-1403
doi:10.1002/2018GH000132
https://doaj.org/article/978ffeb800454a06af896e224b071f23
op_doi https://doi.org/10.1002/2018GH000132
container_title GeoHealth
container_volume 2
container_issue 8
container_start_page 248
op_container_end_page 260
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