Sector-Based Top-Down Estimates of NO x , SO2, and CO Emissions in East Asia
© 2022. The Authors.
| Publié dans: | Geophysical research letters. - 1984. - 49(2022), 2 vom: 28. Jan., Seite e2021GL096009 |
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| Auteur principal: | |
| Autres auteurs: | , , , , , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2022
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| Accès à la collection: | Geophysical research letters |
| Sujets: | Journal Article |
| Résumé: | © 2022. The Authors. 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 |
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| Description: | Date Revised 31.07.2022 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
| ISSN: | 0094-8276 |
| DOI: | 10.1029/2021GL096009 |