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Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis
This paper investigates the characteristics and impact of a major Saharan dust storm during June 14th–19th 2020 on atmospheric radiative and thermodynamics properties over the Atlantic Ocean. The event witnessed the highest ever aerosol optical depth for June since 2002. The satellites and high-reso...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005708/ https://www.ncbi.nlm.nih.gov/pubmed/35414155 http://dx.doi.org/10.1038/s41598-022-10017-1 |
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author | Asutosh, A. Vinoj, V. Murukesh, Nuncio Ramisetty, Ramakrishna Mittal, Nishant |
author_facet | Asutosh, A. Vinoj, V. Murukesh, Nuncio Ramisetty, Ramakrishna Mittal, Nishant |
author_sort | Asutosh, A. |
collection | PubMed |
description | This paper investigates the characteristics and impact of a major Saharan dust storm during June 14th–19th 2020 on atmospheric radiative and thermodynamics properties over the Atlantic Ocean. The event witnessed the highest ever aerosol optical depth for June since 2002. The satellites and high-resolution model reanalysis products well captured the origin and spread of the dust storm. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) measured total attenuated backscatter and aerosol subtype profiles, lower angstrom exponent values (~ 0.12) from Modern-Era Retrospective Analysis for Research and Application—version 2 (MERRA-2) and higher aerosol index value from Ozone monitoring instrument (> 4) tracked the presence of elevated dust. It was found that the dust AOD was as much as 250–300% higher than their climatology resulting in an atmospheric radiative forcing ~ 200% larger. As a result, elevated warming (8–16%) was observed, followed by a drop in relative humidity (2–4%) in the atmospheric column, as evidenced by both in-situ and satellite measurements. Quantifications such as these for extreme dust events provide significant insights that may help in understanding their climate effects, including improvements to dust simulations using chemistry-climate models. |
format | Online Article Text |
id | pubmed-9005708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90057082022-04-15 Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis Asutosh, A. Vinoj, V. Murukesh, Nuncio Ramisetty, Ramakrishna Mittal, Nishant Sci Rep Article This paper investigates the characteristics and impact of a major Saharan dust storm during June 14th–19th 2020 on atmospheric radiative and thermodynamics properties over the Atlantic Ocean. The event witnessed the highest ever aerosol optical depth for June since 2002. The satellites and high-resolution model reanalysis products well captured the origin and spread of the dust storm. The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) measured total attenuated backscatter and aerosol subtype profiles, lower angstrom exponent values (~ 0.12) from Modern-Era Retrospective Analysis for Research and Application—version 2 (MERRA-2) and higher aerosol index value from Ozone monitoring instrument (> 4) tracked the presence of elevated dust. It was found that the dust AOD was as much as 250–300% higher than their climatology resulting in an atmospheric radiative forcing ~ 200% larger. As a result, elevated warming (8–16%) was observed, followed by a drop in relative humidity (2–4%) in the atmospheric column, as evidenced by both in-situ and satellite measurements. Quantifications such as these for extreme dust events provide significant insights that may help in understanding their climate effects, including improvements to dust simulations using chemistry-climate models. Nature Publishing Group UK 2022-04-12 /pmc/articles/PMC9005708/ /pubmed/35414155 http://dx.doi.org/10.1038/s41598-022-10017-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Asutosh, A. Vinoj, V. Murukesh, Nuncio Ramisetty, Ramakrishna Mittal, Nishant Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis |
title | Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis |
title_full | Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis |
title_fullStr | Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis |
title_full_unstemmed | Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis |
title_short | Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis |
title_sort | investigation of june 2020 giant saharan dust storm using remote sensing observations and model reanalysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005708/ https://www.ncbi.nlm.nih.gov/pubmed/35414155 http://dx.doi.org/10.1038/s41598-022-10017-1 |
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