Article ; Online: Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis.
2022 Volume 12, Issue 1, Page(s) 6114
Abstract: 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 ...
Abstract | 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. |
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MeSH term(s) | Aerosols/analysis ; Air Pollutants/analysis ; Dust/analysis ; Environmental Monitoring/methods ; Remote Sensing Technology ; Retrospective Studies |
Chemical Substances | Aerosols ; Air Pollutants ; Dust |
Language | English |
Publishing date | 2022-04-12 |
Publishing country | England |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2615211-3 |
ISSN | 2045-2322 ; 2045-2322 |
ISSN (online) | 2045-2322 |
ISSN | 2045-2322 |
DOI | 10.1038/s41598-022-10017-1 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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