气候变化领域集成服务门户(CCPortal): Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations

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DOI	10.5194/acp-19-14585-2019
	Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations
	Chen C.; Dubovik O.; Henze D.K.; Chin M.; Lapyonok T.; Schuster G.L.; Ducos F.; Fuertes D.; Litvinov P.; Li L.; Lopatin A.; Hu Q.; Torres B.
发表日期	2019
ISSN	16807316
起始页码	14585
结束页码	14606
卷号	19 期号:23
英文摘要	We invert global black carbon (BC), organic carbon (OC) and desert dust (DD) aerosol emissions from POLDER/PARASOL spectral aerosol optical depth (AOD) and aerosol absorption optical depth (AAOD) using the GEOS-Chem inverse modeling framework. Our inverse modeling framework uses standard a priori emissions to provide a posteriori emissions that are constrained by POLDER/PARASOL AODs and AAODs. The following global emission values were retrieved for the three aerosol components: 18.4 Tg yr-1 for BC, 109.9 Tg yr-1 for OC and 731.6 Tg yr-1 for DD for the year 2010. These values show a difference of C166:7 %, C184.0% and-42:4 %, respectively, with respect to the a priori values of emission inventories used in "standard" GEOS-Chem runs. The model simulations using a posteriori emissions (i.e., retrieved emissions) provide values of 0.119 for global mean AOD and 0.0071 for AAOD at 550 nm, which are C13:3% and C82:1 %, respectively, higher than the AOD and AAOD obtained using the a priori values of emissions. Additionally, the a posteriori model simulation of AOD, AAOD, single scattering albedo, Ångström exponent and absorption Ångström exponent show better agreement with independent AERONET, MODIS and OMI measurements than the a priori simulation. Thus, this study suggests that using satellite-constrained global aerosol emissions in aerosol transport models can improve the accuracy of simulated global aerosol properties. © Author(s) 2019.
语种	英语
scopus关键词	aerosol; aerosol property; black carbon; computer simulation; emission control; numerical model; optical depth; organic carbon; remote sensing; satellite imagery
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/144001
作者单位	Laboratoire d'Optique Atmosphérique (LOA), UMR8518 CNRS, Université de Lille, Villeneuve-d'ascq, 59655, France; Department of Mechanical Engineering, University of Colorado, Boulder, CO 80309, United States; NASA Goddard Space Flight Center, Greenbelt, MD 20771, United States; NASA Langley Research Center, Hampton, VA 23681, United States; GRASP-SAS, Remote Sensing Developments, Université de Lille, Villeneuve-d'ascq, 59655, France; State Key Laboratory of Severe Weather (LASW), Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing, 100081, China
推荐引用方式 GB/T 7714	Chen C.,Dubovik O.,Henze D.K.,et al. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations[J],2019,19(23).
APA	Chen C..,Dubovik O..,Henze D.K..,Chin M..,Lapyonok T..,...&Torres B..(2019).Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations.Atmospheric Chemistry and Physics,19(23).
MLA	Chen C.,et al."Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations".Atmospheric Chemistry and Physics 19.23(2019).