IEECAS OpenIR  > 黄土与第四纪地质国家重点实验室(2010~)
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
Corresponding AuthorLi, Nan(linan@nuist.edu.cn) ; Wang, Yi(yi-wang-4@uiowa.edu) ; Wang, Jun(jun-wang-1@uiowa.edu)
2021-03-01
Source PublicationENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
Volume16Issue:3Pages:8
AbstractSatellite-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.
KeywordOMI MODIS satellite-based inversion GEOS-Chem WRF-Chem CMAQ top-down emission
DOI10.1088/1748-9326/abe829
Indexed BySCI ; SCI
Language英语
Funding ProjectNational 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 Research AreaEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
Funding OrganizationNational Key R&D Program of China ; National Natural Science Foundation of China ; Major Research Plan of National Social Science Foundation
WOS SubjectEnvironmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:000625123700001
PublisherIOP PUBLISHING LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/16056
Collection黄土与第四纪地质国家重点实验室(2010~)
Corresponding AuthorLi, Nan; Wang, Yi; Wang, Jun
Affiliation1.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
Recommended Citation
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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