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): TEXAQS II (2006):
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 DFW & HGB  MSA http://maps.google.com/
DFW & HGB  MSA

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 TES L2 Quality Control
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 Strat. Height Trop. Ozone
Verification focused on O3, NO, and NOx
Comparison with satellite trace gas measurements to characterize uncertainties
Strat.
Compare TOCs
Use OMI-RAQMSstrat to get the OMI TOC
Interpolate to 1°x1° bins
Compare OMI-TOC to RAQMS TOC
Height
Trop.
Ozone

8. RAQMS Verification

9. RAQMS Verification

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

11. Upper Tropospheric Bias Lower Tropospheric Bias
RAQMS Verification
RAQMS vs. IONS-06 August Sondes
No Assimilation
OMI Assimilation
TES Assimilation
TES+OMI Assimilation
Stratospheric Bias
20% Low
>20% Low
UT/LS Bias
>10% Low
20% High
>10% High
20-30% High
Upper Tropospheric Bias
10% Low
0-20% Low
Lower Tropospheric Bias
> 10% High
0-20% High

12. RAQMS Verification RAQMS gets the A-OK  “suitable” Bias (ppbv)
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)
HGB
DFW
Rural
06UTC
29.39
16.39
12.78
18UTC
25.21
18.41
13.96

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