Articles | Volume 16, issue 22
https://doi.org/10.5194/acp-16-14463-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-14463-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Ozone production and its sensitivity to NOx and VOCs: results from the DISCOVER-AQ field experiment, Houston 2013
Gina M. Mazzuca
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
Xinrong Ren
CORRESPONDING AUTHOR
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Christopher P. Loughner
Air Resources Laboratory, National Oceanic and Atmospheric
Administration, College Park, MD 20740, USA
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, MD 20740, USA
Mark Estes
Texas Commission on Environmental Quality, Austin, TX 78711, USA
James H. Crawford
NASA Langley Research Center, Hampton, VA 23681, USA
Kenneth E. Pickering
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Andrew J. Weinheimer
National Center for Atmospheric Research, Boulder, CO 80307, USA
Russell R. Dickerson
Department of Atmospheric and Oceanic Science, University of Maryland,
College Park, MD 20742, USA
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Short summary
We used a box model to study the sensitivity of ozone production by different precursors within the Houston metro area during NASA's DISCOVER-AQ air quality field mission in 2013. We constrained the box model to observations from the campaign and to a 3-D model for species that were not measured. By focusing our analysis on different locations and times of day within the metro area, we were able to suggest which ozone precursors, if controlled, would have the greatest impact on ozone reduction.
We used a box model to study the sensitivity of ozone production by different precursors within...
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