气候变化领域集成服务门户(CCPortal): Understanding processes that control dust spatial distributions with global climate models and satellite observations

CCPortal

DOI	10.5194/acp-20-13835-2020
	Understanding processes that control dust spatial distributions with global climate models and satellite observations
	Wu M.; Liu X.; Yu H.; Wang H.; Shi Y.; Yang K.; Darmenov A.; Wu C.; Wang Z.; Luo T.; Feng Y.; Ke Z.
发表日期	2020
ISSN	1680-7316
起始页码	13835
结束页码	13855
卷号	20 期号:22
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. © Author(s) 2020.
语种	英语
scopus关键词	aerosol; climate modeling; dust; global climate; Northern Hemisphere; optical depth; remote sensing; satellite data; Southern Hemisphere; spatial distribution
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/247363
作者单位	Department of Atmospheric Science, University of Wyoming, Laramie, WY, United States; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States; Department of Atmospheric Sciences, Texas AandM University, College Station, TX, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, United States; Environmental Science Division, Argonne National Laboratory, Argonne, IL, United States
推荐引用方式 GB/T 7714	Wu M.,Liu X.,Yu H.,et al. Understanding processes that control dust spatial distributions with global climate models and satellite observations[J],2020,20(22).
APA	Wu M..,Liu X..,Yu H..,Wang H..,Shi Y..,...&Ke Z..(2020).Understanding processes that control dust spatial distributions with global climate models and satellite observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(22).
MLA	Wu M.,et al."Understanding processes that control dust spatial distributions with global climate models and satellite observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.22(2020).