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Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia

Aerosol is one of the major climate-forcing parameters which affect the Kingdom of Saudi Arabia in particular. The most relevant consideration that characterizes the aerosol properties and distribution is the Aerosol Optical Depth (AOD). In this study Modern Era Retrospective Analysis for Research a...

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Autores principales: Labban, Abdulhaleem H., Butt, Mohsin Jamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361094/
https://www.ncbi.nlm.nih.gov/pubmed/37484343
http://dx.doi.org/10.1016/j.heliyon.2023.e17047
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author Labban, Abdulhaleem H.
Butt, Mohsin Jamil
author_facet Labban, Abdulhaleem H.
Butt, Mohsin Jamil
author_sort Labban, Abdulhaleem H.
collection PubMed
description Aerosol is one of the major climate-forcing parameters which affect the Kingdom of Saudi Arabia in particular. The most relevant consideration that characterizes the aerosol properties and distribution is the Aerosol Optical Depth (AOD). In this study Modern Era Retrospective Analysis for Research and Applications (MERRA-2) AOD product from the year 1980–2021 is used to investigate aerosols pattern over the Kingdom of Saudi Arabia. The validation of the MERRA-2 AOD product is made by using AOD data retrieved from Aerosol Robotic Network (AERONET) stations located at Solar Village (SV) and at King Abdullah University of Science and Technology (KAUST). Various statistical analyses are performed to test the reliability of MERRA-2 data in the study region. The results of the statistical analysis indicate that MERRA-2 is highly correlated with both AERONET stations data. Thus, annual and seasonal aerosol climatology maps based on 41 years of MERRA-2 data are prepared and analyzed over the study region. The annual and seasonal aerosol climatology analysis of MERRA-2 data shows high density of AOD at southern and eastern regions while the low density emerges over the western and northern regions of the country during the study period. The results of the study are very encouraging, which increases our confidence level to use historical MERRA-2 AOD product to improve the knowledge on aerosols distribution over the region in future.
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spelling pubmed-103610942023-07-22 Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia Labban, Abdulhaleem H. Butt, Mohsin Jamil Heliyon Research Article Aerosol is one of the major climate-forcing parameters which affect the Kingdom of Saudi Arabia in particular. The most relevant consideration that characterizes the aerosol properties and distribution is the Aerosol Optical Depth (AOD). In this study Modern Era Retrospective Analysis for Research and Applications (MERRA-2) AOD product from the year 1980–2021 is used to investigate aerosols pattern over the Kingdom of Saudi Arabia. The validation of the MERRA-2 AOD product is made by using AOD data retrieved from Aerosol Robotic Network (AERONET) stations located at Solar Village (SV) and at King Abdullah University of Science and Technology (KAUST). Various statistical analyses are performed to test the reliability of MERRA-2 data in the study region. The results of the statistical analysis indicate that MERRA-2 is highly correlated with both AERONET stations data. Thus, annual and seasonal aerosol climatology maps based on 41 years of MERRA-2 data are prepared and analyzed over the study region. The annual and seasonal aerosol climatology analysis of MERRA-2 data shows high density of AOD at southern and eastern regions while the low density emerges over the western and northern regions of the country during the study period. The results of the study are very encouraging, which increases our confidence level to use historical MERRA-2 AOD product to improve the knowledge on aerosols distribution over the region in future. Elsevier 2023-06-07 /pmc/articles/PMC10361094/ /pubmed/37484343 http://dx.doi.org/10.1016/j.heliyon.2023.e17047 Text en © 2023 The Authors 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/).
spellingShingle Research Article
Labban, Abdulhaleem H.
Butt, Mohsin Jamil
Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia
title Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia
title_full Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia
title_fullStr Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia
title_full_unstemmed Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia
title_short Evaluation of MERRA-2 data for aerosols patterns over the Kingdom of Saudi Arabia
title_sort evaluation of merra-2 data for aerosols patterns over the kingdom of saudi arabia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361094/
https://www.ncbi.nlm.nih.gov/pubmed/37484343
http://dx.doi.org/10.1016/j.heliyon.2023.e17047
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