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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
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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
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Introduction DFW & HGB MSA http://maps.google.com/
DFW & HGB MSA
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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
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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
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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
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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
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RAQMS Verification
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RAQMS Verification
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RAQMS Verification RAQMS Med +15% RAQMS Med +20%
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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
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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
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Results
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Results
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Results
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Results
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Results
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Results
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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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