Global S&T Development Trend Analysis Platform of Resources and Environment
| DOI | 10.5194/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 | |
| 2019-12-03 | |
| 发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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| ISSN | 1680-7316 | 
| EISSN | 1680-7324 | 
| 出版年 | 2019 | 
| 卷号 | 19期号:23页码:14585-14606 | 
| 文章类型 | Article | 
| 语种 | 英语 | 
| 国家 | France; USA; Peoples R China | 
| 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.  | 
| 领域 | 地球科学 | 
| 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 | 
| 引用统计 | |
| 文献类型 | 期刊论文 | 
| 条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/224100 | 
| 专题 | 环境与发展全球科技态势 | 
| 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]. ATMOSPHERIC CHEMISTRY AND PHYSICS,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。 | |||||
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