Is the efficacy of satellite-based inversion of SO2 emission model dependent?
Open Access
- 19 February 2021
- journal article
- research article
- Published by IOP Publishing in Environmental Research Letters
- Vol. 16 (3), 035018
- https://doi.org/10.1088/1748-9326/abe829
Abstract
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 MODIS 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 three 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.Keywords
Funding Information
- the Major Research Plan of National Social Science Foundation (18ZDA052)
- The National Natural Science Foundation of China (41705128)
- The National Key R&D Program of China (2018YFC0213802)
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