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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 20 | Copyright
Atmos. Chem. Phys., 17, 12597-12616, 2017
https://doi.org/10.5194/acp-17-12597-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 24 Oct 2017

Research article | 24 Oct 2017

Multi-source SO2 emission retrievals and consistency of satellite and surface measurements with reported emissions

Vitali Fioletov1, Chris A. McLinden1, Shailesh K. Kharol1, Nickolay A. Krotkov2, Can Li2,3, Joanna Joiner2, Michael D. Moran1, Robert Vet1, Antoon J. H. Visschedijk4, and Hugo A. C. Denier van der Gon4 Vitali Fioletov et al.
  • 1Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
  • 2Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
  • 3Earth System Science Interdisciplinary Center, University of Maryland College Park, MD, USA
  • 4TNO, Department of Climate, Air and Sustainability, Utrecht, the Netherlands

Abstract. Reported sulfur dioxide (SO2) emissions from US and Canadian sources have declined dramatically since the 1990s as a result of emission control measures. Observations from the Ozone Monitoring Instrument (OMI) on NASA's Aura satellite and ground-based in situ measurements are examined to verify whether the observed changes from SO2 abundance measurements are quantitatively consistent with the reported changes in emissions. To make this connection, a new method to link SO2 emissions and satellite SO2 measurements was developed. The method is based on fitting satellite SO2 vertical column densities (VCDs) to a set of functions of OMI pixel coordinates and wind speeds, where each function represents a statistical model of a plume from a single point source. The concept is first demonstrated using sources in North America and then applied to Europe. The correlation coefficient between OMI-measured VCDs (with a local bias removed) and SO2 VCDs derived here using reported emissions for 1° by 1° gridded data is 0.91 and the best-fit line has a slope near unity, confirming a very good agreement between observed SO2 VCDs and reported emissions. Having demonstrated their consistency, seasonal and annual mean SO2 VCD distributions are calculated, based on reported point-source emissions for the period 1980–2015, as would have been seen by OMI. This consistency is further substantiated as the emission-derived VCDs also show a high correlation with annual mean SO2 surface concentrations at 50 regional monitoring stations.

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