Journal article
A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts
Geophysical research letters, Vol.43(18), pp.9931-9938
09/28/2016
DOI: 10.1002/2016GL070204
Abstract
SO2 emissions, the largest source of anthropogenic aerosols, can respond rapidly to economic and policy driven changes. However, bottom‐up SO2 inventories have inherent limitations owing to 24–48 months latency and lack of month‐to‐month variation in emissions (especially in developing countries). This study develops a new approach that integrates Ozone Monitoring Instrument (OMI) SO2 satellite measurements and GEOS‐Chem adjoint model simulations to constrain monthly anthropogenic SO2 emissions. The approach's effectiveness is demonstrated for 14 months in East Asia; resultant posterior emissions not only capture a 20% SO2 emission reduction in Beijing during the 2008 Olympic Games but also improve agreement between modeled and in situ surface measurements. Further analysis reveals that posterior emissions estimates, compared to the prior, lead to significant improvements in forecasting monthly surface and columnar SO2. With the pending availability of geostationary measurements of tropospheric composition, we show that it may soon be possible to rapidly constrain SO2 emissions and associated air quality predictions at fine spatiotemporal scales.
Key Points
OMI and adjoint modeling can constrain monthly anthropogenic SO2 emissions
Twenty percent emission reduction during the Beijing Olympic Games are made evident
Posterior emissions improve monthly forecasts of surface and column SO2
Details
- Title: Subtitle
- A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts
- Creators
- Yi Wang - University of IowaJun Wang - University of IowaXiaoguang Xu - University of IowaDaven K Henze - University of Colorado BoulderYuxuan Wang - Tsinghua UniversityZhen Qu - University of Colorado Boulder
- Resource Type
- Journal article
- Publication Details
- Geophysical research letters, Vol.43(18), pp.9931-9938
- DOI
- 10.1002/2016GL070204
- ISSN
- 0094-8276
- eISSN
- 1944-8007
- Number of pages
- 8
- Grant note
- NASA Atmospheric Chemistry Modeling and Analysis Program (NNX13AK86G)
- Language
- English
- Date published
- 09/28/2016
- Academic Unit
- Physics and Astronomy; Chemical and Biochemical Engineering; Iowa Technology Institute; Civil and Environmental Engineering
- Record Identifier
- 9984049700202771
Metrics
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