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Impacts of Background Ozone on Houston and Dallas Air Quality

This literature review delves into the impacts of background ozone production on air quality in Houston and Dallas, Texas, focusing on the TexAQS field mission. It includes discussions on regional meteorological and chemical processes affecting high-pollution events in these areas. Through trajectory analyses and data assimilation methods, the study examines the verification and uncertainties related to ozone, NO, and NOx levels. The results underscore the influence of background ozone on overall air quality in the Houston-Galveston-Brazoria and Dallas-Fort Worth regions.

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Impacts of Background Ozone on Houston and Dallas Air Quality

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  1. Literature Review:Impacts of background ozone production on Houston and Dallas, TX Air Quality during the TexAQS field mission R. Bradley Pierce (NOAA/NESDIS), Jassim Al-Saadi (NASA/LaRC), Chieko Kittaka (NASA/LaRC), Todd Schaack (UW/SSEC), Allen Lenzen (UW /SSEC), Kevin Bowman (NASA/JPL), Jim Szykman (US/EPA), Amber Soja (NASA/LaRC), Tom Ryerson, (NOAA/ESRL), Anne M. Thompson (PSU), Pawan Bhartia (NASA/GSFC), Gary A. Morris (Valparaiso University) Gregory Garner Gator Team Meeting 11/20/08

  2. Introduction • TEXAQS (2000): • Characterize effects of local emission and meteorology on ozone in HGB • HGB  Houston-Galveston-Brazoria • TEXAQS II (2006): • Regional meteorological and chemical processes that lead to high-pollution events in HGB & DFW • DFW  Dallas-Fort Worth • Focus on what areas within and outside of Texas affect AQ in the non-attainment areas

  3. Introduction http://maps.google.com/ http://www.westtexasrealestate.com/images/texas_map.jpg DFW & HGB MSA http://maps.google.com/

  4. Introduction • Source regions identified using ensemble Lagrangian trajectories • Chemical analyses assimilated with satellite data used as background along trajectory • Comparison of analyses to airborne, balloon, and satellite data to verify • Trajectories classified using Lagrangian averaged net ozone production

  5. RAQMS Information • RAQMS  Real-time Air Quality Modeling System • Unified global chemical and aerosol assimilation and forecasting system • Includes assimilation from: • Cloud Cleared OMI-TOMS collection 2 retrievals • O3 and CO from Tropospheric Emission Spectrometer (TES) Level 2 • Biomass burning emissions from Moderate resolution Imaging Spectroradiometer (MODIS) Terra and Aqua fire detection

  6. RAQMS Information • OMI-TOMS • 6hr intervals +/- 3hr 00, 06, 12, 18UTC • Correlate to within 1% against airborne insitu • a priori 3D monthly ozone profile climatology • TES L2 • Hourly with averaging kernel • TES O3 3-10ppbv positive bias vs. ozonsonde • TES CO 10%-35% lower than airborne insitu • a priori Monthly mean mixing ratios from MOZART • Quality Control • 1) Gross Check 2) Suspect ID 3) Buddy Check

  7. RAQMS Verification Verification focused on O3, NO, and NOx Comparison with satellite trace gas measurements to characterize uncertainties Compare TOCs Use OMI-RAQMSstrat to get the OMI TOC Interpolate to 1°x1° bins Compare OMI-TOC to RAQMS TOC Strat. Height Trop. Ozone

  8. RAQMS Verification

  9. RAQMS Verification

  10. RAQMS Verification RAQMS Med +15% RAQMS Med +20%

  11. RAQMS Verification • RAQMS vs. IONS-06 August Sondes

  12. RAQMS Verification • RAQMS gets the A-OK  “suitable” • Coarse horizontal resolution & lowest resolvable height may lead underestimated urban NO2 • …which leads to underestimates in nighttime titration of O3 • …which leads to overestimates in daytime O3 • Bias (ppbv)

  13. Results

  14. Results

  15. Results

  16. Results

  17. Results

  18. Results

  19. Summary / Conclusion • Continental TOC are well represented in RAQMS analysis • RAQMS estimates of background O3 production is reasonable • High ozone w/enhanced background O3 • HGB: 66%  Southern GL & recirculation • DFW: ~50%  Chicago & Houston • NOTE: • Median profiles are OK • NO2 underestimated due to coarse resolution

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