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Long-Term Global Sulfur Dioxide Pollution Monitoring

From the Ozone Monitoring Instrument to the Ozone Mapping Profiler Suite

Sulfur dioxide (SO2) is an important pollutant gas that has significant impacts on the environment and climate at global, regional, and local scales. Aura's Ozone Monitoring Instrument (OMI) has been providing global monitoring of anthropogenic SO2 pollution over the past 12+ years. As Aura has entered the stage of extended mission and OMI has lost part of its spatial coverage due to instrument issues, it is critical to continue the global anthropogenic SO2 record with new instruments.

  • Retrievals of anthropogenic SO2 are often subject to relatively large artifacts due to its weak signal, making it particularly challenging to achieve consistent results between different instruments.

  • The innovative principal component analysis (PCA) method provides excellent spatial (2012) and temporal (2012-2015) consistency in the SO2 loading over eastern China (and elsewhere) from OMI (on NASA's Aura satellite) and OMPS (on the NASA/NOAA Suomi NPP satellite).

It is challenging to build consistent, multi-satellite datasets necessary for long-term monitoring and trend studies. This is because anthropogenic SO2 is mostly near the surface, and its column loading is typically less than 1% of that of O3, a major interference in SO2 retrievals. A small bias in O3 can lead to large artifacts in retrieved SO2. Our newly developed principal component analysis (PCA) SO2 algorithm helps to address this challenge by using information extracted from the radiance data to minimize the influences of O3 and other interferences. This greatly reduces the noise and bias of SO2 retrievals compared to the previous method and allows smaller emission sources to be detected from space.

In this study, we applied the OMI PCA algorithm to Suomi NPP / Ozone Mapping Profiler Suite (OMPS). Despite the coarser spatial and spectral resolutions, and a ~10 minute difference of equator crossing time from OMI, OMPS shows good correlations (r = 0.79-0.96) with OMI for various regions. We also compared the annual emissions for ~400 SO2 sources around the globe, estimated with our OMI and OMPS SO2 data.

The emissions show a very good correlation (r=~0.9) between the two instruments for each year during 2012-2015. OMPS-detected SO2 point source emissions are slightly lower than those from OMI, but OMI-OMPS differences decrease with increasing strength of source. Good consistency between the two instruments provides confidence that the OMPS nadir mapper and similar future instruments planned for the follow-up JPSS-1,-2,-3,-4 NOAA operational satellites with improved spatial resolution similar to OMI, can be used to continue the long-term anthropogenic SO2 record started by OMI.

  Above : The Annual SO2 loading (unit: DU, 1 DU = 2.69 ? 1016 molecules/cm2 ) over eastern China for 2012 from OMI (left) and OMPS (right). For the most heavily polluted areas, the SO2 loading is about 2-3 DU, less than 1% of the typical column amounts of O3, a major interfering species in SO2 retrievals.


  Above : Daily SO2 variations (bottom) of OMPS and OMI mass (kt) within the domain during 2012-2015. Consistent variations between the two instruments indicate that both can detect changes in pollution due to synoptic conditions, and OMPS is well-suited to continue the daily monitoring of SO2 pollution currently offered by OMI.



References: Zhang, Y., Li, C., Krotkov, N. A., and Joiner, J., , Fioletov, V., and McLinden C.: Continuation of long-term global SO2 pollution monitoring from OMI to OMPS, Atmos. Meas. Tech., doi:10.5194/amt-2016-226, 2017, in press.

Data Sources: Level 2 NASA Aura Ozone Monitoring Instrument (OMI) total column SO2 data (OMSO2) produced from OMI level 1 radiance data, using the NASA GSFC principal component analysis (PCA) satellite trace gas retrieval algorithm.
Level 2 total column SO2 data produced using the same algorithm, applied to level 1 data from the NASA/NOAA Suomi National Polar-orbiting Partnership (SNPP) Ozone Mapping and Profiler Suite (OMPS) nadir mapper instrument.

4.13.2017


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