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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American Geophysical Union (AGU)
2018
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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 |
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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 |
_version_ |
1766132211802701824 |