Arid
DOI10.5194/acp-19-14585-2019
Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations
Chen, Cheng1,5; Dubovik, Oleg1; Henze, Daven K.2; Chin, Mian3; Lapyonok, Tatyana1; Schuster, Gregory L.4; Ducos, Fabrice1; Fuertes, David5; Litvinov, Pavel5; Li, Lei1,6,7; Lopatin, Anton5; Hu, Qiaoyun1; Torres, Benjamin1
通讯作者Chen, Cheng ; Dubovik, Oleg
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2019
卷号19期号:23页码:14585-14606
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 +166.7 %, +184.0% 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 +13.3% and +82.1 %, 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, Angstrom exponent and absorption Angstrom 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.
类型Article
语种英语
国家France ; USA ; Peoples R China
开放获取类型Green Submitted, gold
收录类别SCI-E
WOS记录号WOS:000500959000001
WOS关键词BLACK CARBON AEROSOL ; OPTICAL DEPTH ; TROPOSPHERIC AEROSOL ; INVERSION ALGORITHM ; SMOKE AEROSOL ; BROWN CARBON ; DESERT DUST ; A-TRAIN ; MODEL ; ABSORPTION
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
EI主题词2019-12-03
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/311535
作者单位1.Univ Lille, LOA, CNRS, UMR8518, F-59655 Villeneuve Dascq, France;
2.Univ Colorado, Dept Mech Engn, Boulder, CO 80309 USA;
3.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
4.NASA, Langley Res Ctr, Hampton, VA 23681 USA;
5.Univ Lille, Remote Sensing Dev, GRASP SAS, F-59655 Villeneuve Dascq, France;
6.Chinese Acad Meteorol Sci, CMA, State Key Lab Severe Weather LASW, Beijing 100081, Peoples R China;
7.Chinese Acad Meteorol Sci, CMA, Inst Atmospher Composit, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714
Chen, Cheng,Dubovik, Oleg,Henze, Daven K.,et al. Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations[J],2019,19(23):14585-14606.
APA Chen, Cheng.,Dubovik, Oleg.,Henze, Daven K..,Chin, Mian.,Lapyonok, Tatyana.,...&Torres, Benjamin.(2019).Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,19(23),14585-14606.
MLA Chen, Cheng,et al."Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 19.23(2019):14585-14606.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Chen, Cheng]的文章
[Dubovik, Oleg]的文章
[Henze, Daven K.]的文章
百度学术
百度学术中相似的文章
[Chen, Cheng]的文章
[Dubovik, Oleg]的文章
[Henze, Daven K.]的文章
必应学术
必应学术中相似的文章
[Chen, Cheng]的文章
[Dubovik, Oleg]的文章
[Henze, Daven K.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。