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: Yusuf, Najib, Sa'id, Rabia S.
Format: Text
Language:English
Published: Elsevier 2023
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425909/
http://www.ncbi.nlm.nih.gov/pubmed/37588611
https://doi.org/10.1016/j.heliyon.2023.e18815
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spelling ftpubmed:oai:pubmedcentral.nih.gov:10425909 2023-09-05T13:11:17+02:00 Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region Yusuf, Najib Sa'id, Rabia S. 2023-08-03 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425909/ http://www.ncbi.nlm.nih.gov/pubmed/37588611 https://doi.org/10.1016/j.heliyon.2023.e18815 en eng Elsevier http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425909/ http://www.ncbi.nlm.nih.gov/pubmed/37588611 http://dx.doi.org/10.1016/j.heliyon.2023.e18815 © 2023 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Heliyon Research Article Text 2023 ftpubmed https://doi.org/10.1016/j.heliyon.2023.e18815 2023-08-20T00:54:40Z 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 ... Text Aerosol Robotic Network PubMed Central (PMC) Merra ENVELOPE(12.615,12.615,65.816,65.816) Heliyon 9 8 e18815
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Yusuf, Najib
Sa'id, Rabia S.
Spatial distribution of aerosols burden and evaluation of changes in aerosol optical depth using multi-approach observations in tropical region
topic_facet Research Article
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 Text
author Yusuf, Najib
Sa'id, Rabia S.
author_facet Yusuf, Najib
Sa'id, Rabia S.
author_sort Yusuf, Najib
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 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425909/
http://www.ncbi.nlm.nih.gov/pubmed/37588611
https://doi.org/10.1016/j.heliyon.2023.e18815
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genre_facet Aerosol Robotic Network
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op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425909/
http://www.ncbi.nlm.nih.gov/pubmed/37588611
http://dx.doi.org/10.1016/j.heliyon.2023.e18815
op_rights © 2023 The Authors. Published by Elsevier Ltd.
https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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