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Sector-Based Top-Down Estimates of NO x , SO2, and CO Emissions in East Asia.


ABSTRACT: Top-down estimates using satellite data provide important information on the sources of air pollutants. We develop a sector-based 4D-Var framework based on the GEOS-Chem adjoint model to address the impacts of co-emissions and chemical interactions on top-down emission estimates. We apply OMI NO2, OMI SO2, and MOPITT CO observations to estimate NO x , SO2, and CO emissions in East Asia during 2005-2012. Posterior evaluations with surface measurements show reduced normalized mean bias (NMB) by 7% (NO2)-15% (SO2) and normalized mean square error (NMSE) by 8% (SO2)-9% (NO2) compared to a species-based inversion. This new inversion captures the peak years of Chinese SO2 (2007) and NO x (2011) emissions and attributes their drivers to industry and energy activities. The CO peak in 2007 in China is driven by residential and industry emissions. In India, the inversion attributes NO x and SO2 trends mostly to energy and CO trend to residential emissions.

SUBMITTER: Qu Z 

PROVIDER: S-EPMC9286828 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Sector-Based Top-Down Estimates of NO <sub><i>x</i></sub> , SO<sub>2</sub>, and CO Emissions in East Asia.

Qu Zhen Z   Henze Daven K DK   Worden Helen M HM   Jiang Zhe Z   Gaubert Benjamin B   Theys Nicolas N   Wang Wei W  

Geophysical research letters 20220120 2


Top-down estimates using satellite data provide important information on the sources of air pollutants. We develop a sector-based 4D-Var framework based on the GEOS-Chem adjoint model to address the impacts of co-emissions and chemical interactions on top-down emission estimates. We apply OMI NO<sub>2</sub>, OMI SO<sub>2</sub>, and MOPITT CO observations to estimate NO <sub><i>x</i></sub> , SO<sub>2</sub>, and CO emissions in East Asia during 2005-2012. Posterior evaluations with surface measure  ...[more]

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