干旱区生态环境知识资源中心(Arid): Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land-atmosphere model (GFDL AM4.0/LM4.0)

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DOI	10.5194/acp-20-55-2020
	Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land-atmosphere model (GFDL AM4.0/LM4.0)
	Pu, Bing 1,2,12; Ginoux, Paul 2; Guo, Huan 2; Hsu, N. Christina 3; Kimball, John 4; Marticorena, Beatrice 5; Malyshev, Sergey 2; Naik, Vaishali 2; O'; Neill, Norman T.6; Garcia-Pando, Carlos Perez 7,8; Paireau, Juliette 9,10; Prospero, Joseph M.11; Shevliakova, Elena 2; Zhao, Ming 2
通讯作者	Pu, Bing
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN	1680-7316
EISSN	1680-7324
出版年	2020
卷号	20 期号:1 页码:55-81
英文摘要	Dust emission is initiated when surface wind velocities exceed the threshold of wind erosion. Many dust models used constant threshold values globally. Here we use satellite products to characterize the frequency of dust events and land surface properties. By matching this frequency derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products with surface winds, we are able to retrieve a climatological monthly global distribution of the wind erosion threshold (V-threshold) over dry and sparsely vegetated surfaces. This monthly two-dimensional threshold velocity is then implemented into the Geophysical Fluid Dynamics Laboratory coupled land-atmosphere model (AM4.0/LM4.0). It is found that the climatology of dust optical depth (DOD) and total aerosol optical depth, surface PM10 dust concentrations, and the seasonal cycle of DOD are better captured over the dust belt (i.e., northern Africa and the Middle East) by simulations with the new wind erosion threshold than those using the default globally constant threshold. The most significant improvement is the frequency distribution of dust events, which is generally ignored in model evaluation. By using monthly rather than annual mean V-threshold, all comparisons with observations are further improved. The monthly global threshold of wind erosion can be retrieved under different spatial resolutions to match the resolution of dust models and thus can help improve the simulations of dust climatology and seasonal cycles as well as dust forecasting.
类型	Article
语种	英语
国家	USA ; France ; Canada ; Spain
开放获取类型	Green Published, Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000505676600002
WOS关键词	INDIAN-SUMMER MONSOON ; DUST EMISSION MODEL ; EARTH SYSTEM MODEL ; DESERT DUST ; MIDDLE-EAST ; OPTICAL DEPTH ; IN-SITU ; SURFACE ; NORTH ; CLIMATE
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
EI主题词	2020-01-03
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/312371
作者单位	1.Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA; 2.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08540 USA; 3.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA; 4.Univ Montana, Dept Ecosyst & Conservat Sci, Missoula, MT 59812 USA; 5.Univ Paris Est Paris, Lab Interuniv Syst Atmosphe, CNRS, UMR 7583, Diderot Paris 7, Creteil, France; 6.Univ Sherbrooke, Dept Geomat Appliquee, Sherbrooke, PQ, Canada; 7.Barcelona Supercomp Ctr, Barcelona 08034, Spain; 8.ICREA, Passeig Lluis Companys 23, Barcelona 08010, Spain; 9.Princeton Univ, Princeton Environm Inst, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA; 10.CNRS, Inst Pasteur, Math Modelling Infect Dis Unit, UMR 2000, F-75015 Paris, France; 11.Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA; 12.Univ Kansas, Dept Geog & Atmospher Sci, Lawrence, KS 66045 USA
推荐引用方式 GB/T 7714	Pu, Bing,Ginoux, Paul,Guo, Huan,et al. Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land-atmosphere model (GFDL AM4.0/LM4.0)[J],2020,20(1):55-81.
APA	Pu, Bing.,Ginoux, Paul.,Guo, Huan.,Hsu, N. Christina.,Kimball, John.,...&Zhao, Ming.(2020).Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land-atmosphere model (GFDL AM4.0/LM4.0).ATMOSPHERIC CHEMISTRY AND PHYSICS,20(1),55-81.
MLA	Pu, Bing,et al."Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land-atmosphere model (GFDL AM4.0/LM4.0)".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.1(2020):55-81.