干旱区生态环境知识资源中心(Arid): Understanding processes that control dust spatial distributions with global climate models and satellite observations

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DOI	10.5194/acp-20-13835-2020
	Understanding processes that control dust spatial distributions with global climate models and satellite observations
	Wu, Mingxuan; Liu, Xiaohong; Yu, Hongbin; Wang, Hailong; Shi, Yang; Yang, Kang; Darmenov, Anton; Wu, Chenglai; Wang, Zhien; Luo, Tao; Feng, Yan; Ke, Ziming
通讯作者	Liu, XH
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN	1680-7316
EISSN	1680-7324
出版年	2020
卷号	20 期号:22 页码:13835-13855
英文摘要	Dust aerosol is important in modulating the climate system at local and global scales, yet its spatiotemporal distributions simulated by global climate models (GCMs) are highly uncertain. In this study, we evaluate the spatiotemporal variations of dust extinction profiles and dust optical depth (DOD) simulated by the Community Earth System Model version 1 (CESM1) and version 2 (CESM2), the Energy Exascale Earth System Model version 1 (E3SMv1), and the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) against satellite retrievals from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), Moderate Resolution Imaging Spectroradiometer (MODIS), and Multi-angle Imaging SpectroRadiometer (MISR). We find that CESM1, CESM2, and E3SMv1 underestimate dust transport to remote regions. E3SMv1 performs better than CESM1 and CESM2 in simulating dust transport and the northern hemispheric DOD due to its higher mass fraction of fine dust. CESM2 performs the worst in the Northern Hemisphere due to its lower dust emission than in the other two models but has a better dust simulation over the Southern Ocean due to the overestimation of dust emission in the Southern Hemisphere. DOD from MERRA-2 agrees well with CALIOP DOD in remote regions due to its higher mass fraction of fine dust and the assimilation of aerosol optical depth. The large disagreements in the dust extinction profiles and DOD among CALIOP, MODIS, and MISR retrievals make the model evaluation of dust spatial distributions challenging. Our study indicates the importance of representing dust emission, dry/wet deposition, and size distribution in GCMs in correctly simulating dust spatiotemporal distributions.
类型	Article
语种	英语
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000589919600003
WOS关键词	AEROSOL OPTICAL DEPTH ; EARTH SYSTEM MODEL ; BLACK CARBON ; DESERT DUST ; MINERAL AEROSOL ; INTERANNUAL VARIABILITY ; SIZE DISTRIBUTION ; EMISSION MODEL ; LIDAR RATIO ; CALIPSO
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327538
作者单位	[Wu, Mingxuan; Liu, Xiaohong; Shi, Yang; Wu, Chenglai; Luo, Tao; Ke, Ziming] Univ Wyoming, Dept Atmospher Sci, Laramie, WY 82071 USA; [Wu, Mingxuan; Wang, Hailong] Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99352 USA; [Liu, Xiaohong; Shi, Yang; Ke, Ziming] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA; [Yu, Hongbin; Darmenov, Anton] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA; [Yang, Kang; Wang, Zhien] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA; [Feng, Yan] Argonne Natl Lab, Environm Sci Div, 9700 S Cass Ave, Argonne, IL 60439 USA
推荐引用方式 GB/T 7714	Wu, Mingxuan,Liu, Xiaohong,Yu, Hongbin,et al. Understanding processes that control dust spatial distributions with global climate models and satellite observations[J],2020,20(22):13835-13855.
APA	Wu, Mingxuan.,Liu, Xiaohong.,Yu, Hongbin.,Wang, Hailong.,Shi, Yang.,...&Ke, Ziming.(2020).Understanding processes that control dust spatial distributions with global climate models and satellite observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(22),13835-13855.
MLA	Wu, Mingxuan,et al."Understanding processes that control dust spatial distributions with global climate models and satellite observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.22(2020):13835-13855.