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Direct radiative forcing of biomass burning aerosols from the extensive Australian wildfires in 2019-2020

Title
Direct radiative forcing of biomass burning aerosols from the extensive Australian wildfires in 2019-2020
Authors
Chang D.Y.Yoon J.Lelieveld J.Park S.K.Yum S.S.Kim J.Jeong S.
Ewha Authors
박선기
SCOPUS Author ID
박선기scopus
Issue Date
2021
Journal Title
Environmental Research Letters
ISSN
1748-9318JCR Link
Citation
Environmental Research Letters vol. 16, no. 4
Keywords
AERONETAustraliaBiomass burningDirect aerosol radiative forcingMODISWildfires
Publisher
IOP Publishing Ltd
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
In 2019, an unusually strong positive Indian Ocean Dipole spawned hot and dry weather in southeastern Australia, which promoted devastating wildfires in the period from September 2019 to February 2020. The fires produced large plumes of biomass burning aerosols that prevented sunlight from reaching the Earth's surface, and in this way elicited regional radiative cooling. We estimated the direct aerosol radiative forcing (ARF) resulting from these wildfires, based on Moderate Resolution Imaging Spectroradiometer space-based data and an empirical relationship from AErosol RObotic NETwork ground-based data collected in biomass-burning regions. The wildfire-derived air pollution was associated with an aerosol optical thickness of >0.3 in Victoria and a strongly negative ARF of between -14.8 and -17.7 W m-2, which decreased the surface air temperature by about 3.7 °C-4.4 °C. This is of the same order of magnitude as the radiative cooling from volcanic eruptions. Although the atmospheric lifetime of biomass-burning aerosols is relatively short (about a week), the Australian wildfire pollution plumes extended across the Pacific Ocean to South America. Since climate change is expected to lead to more frequent and increasingly intense fires in many regions worldwide, the consequent biomass burning aerosols may become a significant radiative forcing factor, which will need to be accounted for in climate model projections for the future. © 2021 The Author(s).
DOI
10.1088/1748-9326/abecfe
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공과대학 > 환경공학과 > Journal papers
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