Synthesis of the Southeast Atmosphere Studies: Investigating Fundamental Atmospheric Chemistry Questions
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bams-d-16-0048.1.pdf
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Checksum (MD5)
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Author(s)
Carlton, Annmarie G.
de Gouw, Joost
Jimenez, Jose L.
Ambrose, Jesse L.
Attwood, Alexis R.
Brown, Steven
Baker, Kirk R.
Brock, Charles
Cohen, Ronald C.
Edgerton, Sylvia
Date Issued
April 2018
Journal
Bulletin of the American Meteorological Society
Publisher
American Meteorological Society
Citation
Carlton, Annmarie G. et al. “Synthesis of the Southeast Atmosphere Studies: Investigating Fundamental Atmospheric Chemistry Questions.” Bulletin of the American Meteorological Society 99, 3 (March 2018): 547–567 © 2018 American Meteorological Society
Version
Final published version
Abstract
The Southeast Atmosphere Studies (SAS), which included the Southern Oxidant and Aerosol Study (SOAS); the Southeast Nexus (SENEX) study; and the Nitrogen, Oxidants, Mercury and Aerosols: Distributions, Sources and Sinks (NOMADSS) study, was deployed in the field from 1 June to 15 July 2013 in the central and eastern United States, and it overlapped with and was complemented by the Studies of Emissions, Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) campaign. SAS investigated atmospheric chemistry and the associated air quality and climate-relevant particle properties. Coordinated measurements from six ground sites, four aircraft, tall towers, balloon-borne sondes, existing surface networks, and satellites provide in situ and remotely sensed data on trace-gas composition, aerosol physicochemical properties, and local and synoptic meteorology. Selected SAS findings indicate 1) dramatically reduced NOx concentrations have altered ozone production regimes; 2) indicators of “biogenic” secondary organic aerosol (SOA), once considered part of the natural background, were positively correlated with one or more indicators of anthropogenic pollution; and 3) liquid water dramatically impacted particle scattering while biogenic SOA did not. SAS findings suggest that atmosphere–biosphere interactions modulate ambient pollutant concentrations through complex mechanisms and feedbacks not yet adequately captured in atmospheric models. The SAS dataset, now publicly available, is a powerful constraint to develop predictive capability that enhances model representation of the response and subsequent impacts of changes in atmospheric composition to changes in emissions, chemistry, and meteorology.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1175/BAMS-D-16-0048.1
