气候变化领域集成服务门户(CCPortal): Improved representation of the global dust cycle using observational constraints on dust properties and abundance

CCPortal

DOI	10.5194/acp-21-8127-2021
	Improved representation of the global dust cycle using observational constraints on dust properties and abundance
	Kok J.F.; Adebiyi A.A.; Albani S.; Balkanski Y.; Checa-Garcia R.; Chin M.; Colarco P.R.; Hamilton D.S.; Huang Y.; Ito A.; Klose M.; Leung D.M.; Li L.; Mahowald N.M.; Miller R.L.; Obiso V.; Pérez García-Pando C.; Rocha-Lima A.; Wan J.S.; Whicker C.A.
发表日期	2021
ISSN	1680-7316
起始页码	8127
结束页码	8167
卷号	21 期号:10
英文摘要	Even though desert dust is the most abundant aerosol by mass in Earth s atmosphere, atmospheric models struggle to accurately represent its spatial and temporal distribution. These model errors are partially caused by fundamental difficulties in simulating dust emission in coarseresolution models and in accurately representing dust microphysical properties. Here we mitigate these problems by developing a new methodology that yields an improved representation of the global dust cycle. We present an analytical framework that uses inverse modeling to integrate an ensemble of global model simulations with observational constraints on the dust size distribution, extinction efficiency, and regional dust aerosol optical depth.We then compare the inverse model results against independent measurements of dust surface concentration and deposition flux and find that errors are reduced by approximately a factor of 2 relative to current model simulations of the Northern Hemisphere dust cycle. The inverse model results show smaller improvements in the less dusty Southern Hemisphere, most likely because both the model simulations and the observational constraints used in the inverse model are less accurate. On a global basis, we find that the emission flux of dust with a geometric diameter up to 20 um (PM20) is approximately 5000 Tg yr1, which is greater than most models account for. This larger PM20 dust flux is needed to match observational constraints showing a large atmospheric loading of coarse dust. We obtain gridded datasets of dust emission, vertically integrated loading, dust aerosol optical depth, (surface) concentration, and wet and dry deposition fluxes that are resolved by season and particle size. As our results indicate that this dataset is more accurate than current model simulations and the MERRA-2 dust reanalysis product, it can be used to improve quantifications of dust impacts on the Earth system. © 2021 BMJ Publishing Group. All rights reserved.
语种	英语
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246854
作者单位	Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, CA 90095, United States; Department of Environmental and Earth Sciences, University of Milano-Bicocca, Milan, Italy; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ-UPSaclay, Gif-sur-Yvette, France; Atmospheric Chemistry and Dynamics Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD 20771, United States; Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY 14850, United States; Yokohama Institute for Earth Sciences, Jamstec, Yokohama, Kanagawa, 236-0001, Japan; Barcelona Supercomputing Center (BSC), Barcelona, 08034, Spain; Nasa Goddard Institute for Space Studies, New York, NY 10025, United States; Icrea, Catalan Institution for Research and Advanced Studies, Barcelona, 08010, Spain; Physics Department, Umbc, Baltimore, MD, United States; Joint Center Joint Center for Earth Systems Technology, Umbc, Baltimore, MD, United States; Department Troposphere Resear...
推荐引用方式 GB/T 7714	Kok J.F.,Adebiyi A.A.,Albani S.,et al. Improved representation of the global dust cycle using observational constraints on dust properties and abundance[J],2021,21(10).
APA	Kok J.F..,Adebiyi A.A..,Albani S..,Balkanski Y..,Checa-Garcia R..,...&Whicker C.A..(2021).Improved representation of the global dust cycle using observational constraints on dust properties and abundance.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(10).
MLA	Kok J.F.,et al."Improved representation of the global dust cycle using observational constraints on dust properties and abundance".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.10(2021).