Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region

Understanding of Aerosol optical depth (AOD) parameter is important for air quality assessment. This study aims to evaluate and validate AOD measurements from combine datasets to improve air quality for a period 2005–2020 using Aerosol Robotic Network (AERONET) at Ilorin site (8.320° N, 4.340° E) in...

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Published in:Heliyon
Main Authors: Najib Yusuf, Rabia S. Sa'id
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2023
Subjects:
Online Access:https://doi.org/10.1016/j.heliyon.2023.e18815
https://doaj.org/article/3f7a0c98a67e43f7aded8018c26af097
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spelling ftdoajarticles:oai:doaj.org/article:3f7a0c98a67e43f7aded8018c26af097 2023-10-01T03:49:49+02:00 Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region Najib Yusuf Rabia S. Sa'id 2023-08-01T00:00:00Z https://doi.org/10.1016/j.heliyon.2023.e18815 https://doaj.org/article/3f7a0c98a67e43f7aded8018c26af097 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2405844023060231 https://doaj.org/toc/2405-8440 2405-8440 doi:10.1016/j.heliyon.2023.e18815 https://doaj.org/article/3f7a0c98a67e43f7aded8018c26af097 Heliyon, Vol 9, Iss 8, Pp e18815- (2023) Aerosol optical depth Air quality Burdens Comparison and model Science (General) Q1-390 Social sciences (General) H1-99 article 2023 ftdoajarticles https://doi.org/10.1016/j.heliyon.2023.e18815 2023-09-03T00:52:22Z Understanding of Aerosol optical depth (AOD) parameter is important for air quality assessment. This study aims to evaluate and validate AOD measurements from combine datasets to improve air quality for a period 2005–2020 using Aerosol Robotic Network (AERONET) at Ilorin site (8.320° N, 4.340° E) in Nigeria. AOD outputs from Community Atmosphere Model Version 6 with chemistry (CAM6-chem) at 1° horizontal resolution and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) are investigated in addition to validation of two satellites AOD retrievals: Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR). Result of spatial distribution of AOD shows high values > 1 in the North and Western Sahara compared to Central Africa. Desert dust shows largest contribution in the North and Western Africa that is up to 2 magnitude larger than other aerosol types. Primary organic matter (POM) and secondary organic aerosols (SOAs) both presents high burdens with later been dominant at around 10° band, and black carbon (BC) largest burden (2.6 × 10 − 5 kgm − 2) is seen in the model from oil and gas exploration site in Nigeria. Inter-comparison of MERRA/MISR/MODIS and AERONET AOD using linear correlation of the seasonal dependence demonstrated high correlation (r = 0.864 − 0.973) subjected to Root Mean Square Error (RMSE = 0.069 − 0.211), suggesting good agreement between the datasets. When compared to seasonal mean maximum AERONET AOD value of 0.978 MERRA is ∼5%, MISR ∼28% and MODIS ∼29% lower with stronger correlations observed in the wet and pre-harmattan seasons. Similarly, MODEL AOD at 550 nm and dust burden were found to be ∼34% and ∼67% lower in context to AERONET AOD annual mean value of 0.627. Positive relationships that indicate an upward slope exist between all the computed datasets with moderate value of AERONET/CAM-chem spearman partial correlation, and MERRA/MODIS and MODIS/MISR showing strong and significant relationship with p-value less than ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Merra ENVELOPE(12.615,12.615,65.816,65.816) Heliyon 9 8 e18815
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Aerosol optical depth
Air quality
Burdens
Comparison and model
Science (General)
Q1-390
Social sciences (General)
H1-99
spellingShingle Aerosol optical depth
Air quality
Burdens
Comparison and model
Science (General)
Q1-390
Social sciences (General)
H1-99
Najib Yusuf
Rabia S. Sa'id
Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
topic_facet Aerosol optical depth
Air quality
Burdens
Comparison and model
Science (General)
Q1-390
Social sciences (General)
H1-99
description Understanding of Aerosol optical depth (AOD) parameter is important for air quality assessment. This study aims to evaluate and validate AOD measurements from combine datasets to improve air quality for a period 2005–2020 using Aerosol Robotic Network (AERONET) at Ilorin site (8.320° N, 4.340° E) in Nigeria. AOD outputs from Community Atmosphere Model Version 6 with chemistry (CAM6-chem) at 1° horizontal resolution and Modern-Era Retrospective analysis for Research and Applications (MERRA-2) are investigated in addition to validation of two satellites AOD retrievals: Moderate Resolution Imaging Spectroradiometer (MODIS) and Multi-angle Imaging Spectroradiometer (MISR). Result of spatial distribution of AOD shows high values > 1 in the North and Western Sahara compared to Central Africa. Desert dust shows largest contribution in the North and Western Africa that is up to 2 magnitude larger than other aerosol types. Primary organic matter (POM) and secondary organic aerosols (SOAs) both presents high burdens with later been dominant at around 10° band, and black carbon (BC) largest burden (2.6 × 10 − 5 kgm − 2) is seen in the model from oil and gas exploration site in Nigeria. Inter-comparison of MERRA/MISR/MODIS and AERONET AOD using linear correlation of the seasonal dependence demonstrated high correlation (r = 0.864 − 0.973) subjected to Root Mean Square Error (RMSE = 0.069 − 0.211), suggesting good agreement between the datasets. When compared to seasonal mean maximum AERONET AOD value of 0.978 MERRA is ∼5%, MISR ∼28% and MODIS ∼29% lower with stronger correlations observed in the wet and pre-harmattan seasons. Similarly, MODEL AOD at 550 nm and dust burden were found to be ∼34% and ∼67% lower in context to AERONET AOD annual mean value of 0.627. Positive relationships that indicate an upward slope exist between all the computed datasets with moderate value of AERONET/CAM-chem spearman partial correlation, and MERRA/MODIS and MODIS/MISR showing strong and significant relationship with p-value less than ...
format Article in Journal/Newspaper
author Najib Yusuf
Rabia S. Sa'id
author_facet Najib Yusuf
Rabia S. Sa'id
author_sort Najib Yusuf
title Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
title_short Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
title_full Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
title_fullStr Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
title_full_unstemmed Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
title_sort spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
publisher Elsevier
publishDate 2023
url https://doi.org/10.1016/j.heliyon.2023.e18815
https://doaj.org/article/3f7a0c98a67e43f7aded8018c26af097
long_lat ENVELOPE(12.615,12.615,65.816,65.816)
geographic Merra
geographic_facet Merra
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Heliyon, Vol 9, Iss 8, Pp e18815- (2023)
op_relation http://www.sciencedirect.com/science/article/pii/S2405844023060231
https://doaj.org/toc/2405-8440
2405-8440
doi:10.1016/j.heliyon.2023.e18815
https://doaj.org/article/3f7a0c98a67e43f7aded8018c26af097
op_doi https://doi.org/10.1016/j.heliyon.2023.e18815
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