GSTDTAP  > 地球科学
DOI10.5194/acp-20-829-2020
Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations
Adebiyi, Adeyemi A.1; Kok, Jasper F.1; Wang, Yang1; Ito, Akinori2; Ridley, David A.3; Nabat, Pierre4; Zhao, Chun5
2020-01-23
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2020
卷号20期号:2页码:829-863
文章类型Article
语种英语
国家USA; Japan; France; Peoples R China
英文摘要

Mineral dust is the most abundant aerosol species by mass in the atmosphere, and it impacts global climate, biogeochemistry, and human health. Understanding these varied impacts on the Earth system requires accurate knowledge of dust abundance, size, and optical properties, and how they vary in space and time. However, current global models show substantial biases against measurements of these dust properties. For instance, recent studies suggest that atmospheric dust is substantially coarser and more aspherical than accounted for in models, leading to persistent biases in modelled impacts of dust on the Earth system. Here, we facilitate more accurate constraints on dust impacts by developing a new dataset: Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM). This dataset combines an ensemble of global model simulations with observational and experimental constraints on dust size distribution and shape to obtain more accurate constraints on three-dimensional (3-D) atmospheric dust properties than is possible from global model simulations alone. Specifically, we present annual and seasonal climatologies of the 3-D dust size distribution, 3-D dust mass extinction efficiency at 550?nm, and two-dimensional (2-D) atmospheric dust loading. Comparisons with independent measurements taken over several locations, heights, and seasons show that DustCOMM estimates consistently outperform conventional global model simulations. In particular, DustCOMM achieves a substantial reduction in the bias relative to measured dust size distributions in the 0.520?mu m diameter range. Furthermore, DustCOMM reproduces measurements of dust mass extinction efficiency to almost within the experimental uncertainties, whereas global models generally overestimate the mass extinction efficiency. DustCOMM thus provides more accurate constraints on 3-D dust properties, and as such can be used to improve global models or serve as an alternative to global model simulations in constraining dust impacts on the Earth system.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000509386500003
WOS关键词SAHARAN-MINERAL-DUST ; PARTICLE-SIZE DISTRIBUTION ; AEROSOL OPTICAL-PROPERTIES ; COMPLEX REFRACTIVE-INDEX ; ATMOSPHERIC TRANSPORT ; RADIATIVE PROPERTIES ; HYGROSCOPIC GROWTH ; LIGHT-SCATTERING ; MIXING STATE ; NORTH-AFRICA
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/278586
专题地球科学
作者单位1.Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA;
2.JAMSTEC, Yokohama Inst Earth Sci, Yokohama, Kanagawa 2360001, Japan;
3.Calif Air Resources Board, Monitoring & Lab Div, Sacramento, CA USA;
4.Univ Toulouse, Ctr Natl Rech Meteorol, Meteo France, CNRS, Toulouse, France;
5.Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Anhui, Peoples R China
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GB/T 7714
Adebiyi, Adeyemi A.,Kok, Jasper F.,Wang, Yang,et al. Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(2):829-863.
APA Adebiyi, Adeyemi A..,Kok, Jasper F..,Wang, Yang.,Ito, Akinori.,Ridley, David A..,...&Zhao, Chun.(2020).Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(2),829-863.
MLA Adebiyi, Adeyemi A.,et al."Dust Constraints from joint Observational-Modelling-experiMental analysis (DustCOMM): comparison with measurements and model simulations".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.2(2020):829-863.
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