Wednesday, 15 January 2025: 3:00 PM-4:30 PM
Hall C (New Orleans Ernest N. Morial Convention Center)
Air quality is a global public health challenge with regionally-specific drivers and control strategies. Variations in meteorology and climate coupled with emission source types and atmospheric chemical processes lead to diverse air quality impacts at regional scale. This session solicits submissions from observational and modeling studies on air pollution in different regions around the world. Observational studies that include remote sensing, in-situ measurements, analysis from recent field intensives or a combination of these approaches are encouraged. Laboratory studies of important atmospheric chemical processes and progress toward the development of chemical mechanisms are also of interest. Modeling studies that use observations and laboratory data to improve predictive skills of air quality are welcome. Relevant air quality issues include, but are not limited to, near-surface ozone, fine particles, hazardous air pollutants, emerging/understudied pollution sources, smoke from wild and prescribed fires, visibility, regional haze, air quality-climate interactions, emissions and trends, and inequities in pollutant exposure and health impacts.
682
20 Years of Ozonesonde Profiles from Beltsville, MD: Data Quality Assurance and Insights into Tropospheric Ozone Pollution
Joshua A Richards, Univ. of Maryland, Baltimore County, Baltimore, MD; and B. Demoz, R. M. Stauffer, D. E. Kollonige, A. M. Thompson, R. K. K. Sakai, and A. Flores
683
Comparing Two Filtering Methods to Differentiate between on-Road Vehicle Plumes and Background Measurements.
Maria Eugenia Velasco Cunningham, University of Houston, Houston, TX; and B. Actkinson, F. Guo, S. Yoon, S. L. Alvarez, R. J. Sheesley, S. Usenko, R. J. Griffin, and J. H. Flynn III
684
Variability in Air Quality Exceedances and Large-Scale Meteorology
Breiann Seymore, Texas Southern University, Houston, TX; and M. Jones, P. J. Walter, M. P. Jensen, A. J. Drager, D. Wang, T. Castro, M. Estes, M. Harvey, B. Prince, and D. Vrinceanu

685
Quantifying NOx Emissions in the Colorado Front Range during AMMBEC
Clara Jean Lietzke, Univ. of Colorado Boulder, Boulder, CO; and V. Osorio, C. N. Silver, M. Muter, C. F. Lee, W. A. Brewer, S. S. Brown, X. Ren, B. McDonald, S. Wang, S. Baidar, and R. Volkamer
Nighttime oxidation of monoterpenes (MT) via the nitrate radical (NO3) and ozone (O3) contributes to the formation of secondary organic aerosol (SOA). This study uses observations in Atlanta, Georgia from 2011–2022 to quantify trends in nighttime production of NO3 (PNO3) and O3 concentrations and compare to model outputs from the EPA’s Air QUAlity TimE Series Project (EQUATES). We present urban-suburban gradients in nighttime NO3 and O3 concentrations and quantify their fractional importance (F) for MT oxidation. Both observations and EQUATES show a decline in PNO3, with modeled PNO3 declining faster than observations. Despite decreasing PNO3, we find that NO3 continues to dominate nocturnal boundary layer (NBL) MT oxidation (FNO3 = 60%) in 2017, 2021, and 2022, which is consistent with EQUATES (FNO3 = 80%) from 2013–2019. This contrasts an anticipated decline in FNO3 based on prior observations in the nighttime residual layer, where O3 is the dominant oxidant. Using two case studies of heatwaves in summer 2022, we show that extreme heat events can increase NO3 concentrations and FNO3, leading to short MT lifetimes (<1 h) and high gas-phase organic nitrate production. Regardless of the presence of heatwaves, our findings suggest sustained organic nitrate aerosol formation in the urban SE US under declining NOx emissions, and highlight the need for improved representation of extreme heat events in chemistry-transport models and additional observations along urban to rural gradients.
688
In-situ Observations of HONO and Other Reactive Nitrogen from On-Road Vehicles
Christopher McGee Jernigan, NOAA Chemical Sciences Laboratory, Boulder, CO; Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO; and M. A. Robinson, S. Thakali, W. Chace, A. Rollins, E. Waxman, K. Zuraski, M. M. Coggon, K. Bates, C. Stockwell, J. Peischl, N. Schafer, C. Womack, and S. S. Brown
690
The Community Multiscale Air Quality (CMAQ) model version 5.5 supports coupling with the Model for Prediction Across Scales (MPAS)
Jeff Willison, EPA, Durham, NC; and J. E. Pleim, D. Wong, R. Gilliam, R. Bullock, J. Herwehe, G. Pouliot, G. Sarwar, F. Sidi, R. Mathur, D. Kang, and W. Appel

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