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

2021-03-01

10.1088/1748-9326/abe829

Environmental Research Letters   影响因子和分区

1748-9326

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.

OMI MODIS satellite-based inversion GEOS-Chem WRF-Chem CMAQ top-down emission

SCI ; EI

英语

其他

National Key R&D Program of China["2019YFA0606804","2018YFC0213802"] ; National Natural Science Foundation of China[41975171,41705128] ; Major Research Plan of National Social Science Foundation[18ZDA052]

Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences

Environmental Sciences ; Meteorology & Atmospheric Sciences

WOS:000625123700001

IOP PUBLISHING LTD

20211110065966

Aerosols ; Air quality ; Digital storage ; Inverse problems ; Radiometers ; Sulfur dioxide

Air Pollution Control:451.2 ; Satellites:655.2 ; Data Storage, Equipment and Techniques:722.1 ; Inorganic Compounds:804.2 ; Radiation Measuring Instruments:944.7

Web of Science

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

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).

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).

Li, Nan,et al."Is the efficacy of satellite-based inversion of SO2 emission model dependent?".Environmental Research Letters 16.3(2021).