Is the efficacy of satellite-based inversion of SO2 emission model dependent?
Li, Nan1; Tang, Keqin1; Wang, Yi2; Wang, Jun2; Feng, Weihang1; Zhang, Haoran1; Liao, Hong1; Hu, Jianlin1; Long, Xin3; Shi, Chong4; Su, Xiaoli5
通讯作者Li, Nan(linan@nuist.edu.cn) ; Wang, Yi(yi-wang-4@uiowa.edu) ; Wang, Jun(jun-wang-1@uiowa.edu)
2021-03-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
卷号16期号:3页码:8
摘要Satellite-based inverse modeling has the potential to drive aerosol precursor emissions, but its efficacy for improving chemistry transport models (CTMs) remains elusive because of its likely inherent dependence on the error characteristics of a specific CTM used for the inversion. This issue is quantitively assessed here by using three CTMs. We show that SO2 emissions from global GEOS-Chem adjoint model and OMI SO2 data, when combined with spatial variation of bottom-up emissions, can largely improve WRF-Chem and WRF-CMAQ forecast of SO2 and aerosol optical depth (in reference to moderate resolution imaging spectroradiometer data) in China. This suggests that the efficacy of satellite-based inversion of SO2 emission appears to be high for CTMs that use similar or identical emission inventories. With the advent of geostationary air quality monitoring satellites in next 3 years, this study argues that an era of using top-down approach to rapidly update emission is emerging for regional air quality forecast, especially over Asia having highly varying emissions.
关键词OMI MODIS satellite-based inversion GEOS-Chem WRF-Chem CMAQ top-down emission
DOI10.1088/1748-9326/abe829
收录类别SCI ; SCI
语种英语
资助项目National Key R&D Program of China[2019YFA0606804] ; National Key R&D Program of China[2018YFC0213802] ; National Natural Science Foundation of China[41975171] ; National Natural Science Foundation of China[41705128] ; Major Research Plan of National Social Science Foundation[18ZDA052]
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
项目资助者National Key R&D Program of China ; National Natural Science Foundation of China ; Major Research Plan of National Social Science Foundation
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS记录号WOS:000625123700001
出版者IOP PUBLISHING LTD
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/16056
专题黄土与第四纪地质国家重点实验室(2010~)
通讯作者Li, Nan; Wang, Yi; Wang, Jun
作者单位1.Nanjing Univ Informat Sci & Technol, Jiangsu Key Lab Atmospher Environm Monitoring & P, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Sch Environm Sci & Engn, Nanjing 210044, Peoples R China
2.Univ Iowa, Ctr Global & Reg Environm Res, Dept Chem & Biochem Engn, Iowa, IA 52242 USA
3.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen 518055, Peoples R China
4.Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki, Japan
5.Chinese Acad Sci, Key Lab Aerosol Chem & Phys, SKLLQG, Inst Earth Environm, Xian 710061, Peoples R China
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GB/T 7714
Li, Nan,Tang, Keqin,Wang, Yi,et al. Is the efficacy of satellite-based inversion of SO2 emission model dependent?[J]. ENVIRONMENTAL RESEARCH LETTERS,2021,16(3):8.
APA Li, Nan.,Tang, Keqin.,Wang, Yi.,Wang, Jun.,Feng, Weihang.,...&Su, Xiaoli.(2021).Is the efficacy of satellite-based inversion of SO2 emission model dependent?.ENVIRONMENTAL RESEARCH LETTERS,16(3),8.
MLA Li, Nan,et al."Is the efficacy of satellite-based inversion of SO2 emission model dependent?".ENVIRONMENTAL RESEARCH LETTERS 16.3(2021):8.
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