Articles | Volume 15, issue 12
https://doi.org/10.5194/acp-15-6929-2015
https://doi.org/10.5194/acp-15-6929-2015
Research article
 | 
25 Jun 2015
Research article |  | 25 Jun 2015

Estimates of non-traditional secondary organic aerosols from aircraft SVOC and IVOC emissions using CMAQ

M. C. Woody, J. J. West, S. H. Jathar, A. L. Robinson, and S. Arunachalam

Related authors

Technical note: Assessment of OMI/MLS Satellite-Derived Tropospheric Ozone Product for predicting monthly ground-level ozone concentrations
Joshua Singleton, Hantao Wang, Jerry R. Ziemke, Marc L. Serre, and J. Jason West
EGUsphere, https://doi.org/10.5194/egusphere-2026-4798,https://doi.org/10.5194/egusphere-2026-4798, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
A Bayesian Maximum Entropy Framework Using Vertical Profiles to Improve Surface Ozone Estimation From IASI+GOME2, OMI/MLS, And Cris Satellite Ozone Observations
Hantao Wang, Marc L. Serre, Kazuyuki Miyazaki, Juan Cuesta, Jerry R. Ziemke, and J. Jason West
EGUsphere, https://doi.org/10.5194/egusphere-2026-2812,https://doi.org/10.5194/egusphere-2026-2812, 2026
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
Sebastian H. M. Hickman, Makoto M. Kelp, Paul T. Griffiths, Kelsey Doerksen, Kazuyuki Miyazaki, Elyse A. Pennington, Gerbrand Koren, Fernando Iglesias-Suarez, Martin G. Schultz, Kai-Lan Chang, Owen R. Cooper, Alex Archibald, Roberto Sommariva, David Carlson, Hantao Wang, J. Jason West, and Zhenze Liu
Geosci. Model Dev., 18, 8777–8800, https://doi.org/10.5194/gmd-18-8777-2025,https://doi.org/10.5194/gmd-18-8777-2025, 2025
Short summary
Intercomparison of global ground-level ozone datasets for health-relevant metrics
Hantao Wang, Kazuyuki Miyazaki, Haitong Zhe Sun, Zhen Qu, Xiang Liu, Antje Inness, Martin Schultz, Sabine Schröder, Marc Serre, and J. Jason West
Atmos. Chem. Phys., 25, 15969–15990, https://doi.org/10.5194/acp-25-15969-2025,https://doi.org/10.5194/acp-25-15969-2025, 2025
Short summary
Enabling high-performance cloud computing for the Community Multiscale Air Quality Model (CMAQ) version 5.3.3: performance evaluation and benefits for the user community
Christos I. Efstathiou, Elizabeth Adams, Carlie J. Coats, Robert Zelt, Mark Reed, John McGee, Kristen M. Foley, Fahim I. Sidi, David C. Wong, Steven Fine, and Saravanan Arunachalam
Geosci. Model Dev., 17, 7001–7027, https://doi.org/10.5194/gmd-17-7001-2024,https://doi.org/10.5194/gmd-17-7001-2024, 2024
Short summary

Cited articles

Agrawal, H., Sawant, A. A., Jansen, K., Wayne Miller, J., and Cocker III, D. R.: Characterization of chemical and particulate emissions from aircraft engines, Atmos. Environ., 42, 4380–4392, 2008.
Arunachalam, S., Wang, B., Davis, N., Baek, B. H., and Levy, J. I.: Effect of chemistry-transport model scale and resolution on population exposure to PM2.5 from aircraft emissions during landing and takeoff, Atmos. Environ., 45, 3294–3300, 2011.
Baek, B. H., Arunachalam, S., Woody, M., Vennam, L. P., Omary, M., Binkowski, F., and Fleming, G.: A new interface to model global commercial aircraft emissions from the FAA Aviation Environmental Design Tool (AEDT) in air quality models, Annual CMAS Conference, Chapel Hill, NC, USA, 15–17 October, 2012.
Barrett, S. R., Britter, R. E., and Waitz, I. A.: Global mortality attributable to aircraft cruise emissions, Environ. Sci. Technol., 44, 7736–7742, 2010.
Beyersdorf, A. J., Timko, M. T., Ziemba, L. D., Bulzan, D., Corporan, E., Herndon, S. C., Howard, R., Miake-Lye, R., Thornhill, K. L., Winstead, E., Wey, C., Yu, Z., and Anderson, B. E.: Reductions in aircraft particulate emissions due to the use of Fischer–Tropsch fuels, Atmos. Chem. Phys., 14, 11–23, https://doi.org/10.5194/acp-14-11-2014, 2014.
Download
Short summary
Utilizing an aircraft-specific parameterization based on smog chamber data in a regional AQM, contributions of non-traditional secondary organic aerosols (NTSOA) from aircraft emissions of semi-volatile and intermediate volatility organic compounds were assessed. NTSOA, a previously unaccounted component of PM2.5 in most AQMs, contributed up to 7.4% of aviation-attributable PM2.5 at the airport and rose to 17.9% downwind, suggesting its significance in aviation-attributed PM2.5 at all scales.
Share
Altmetrics
Final-revised paper
Preprint