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Literature Review: Literature Review: Impacts of background ozone Impacts of background ozone production on Houston and Dallas, TX production on Houston and Dallas, TX Air Quality during the TexAQS field Air Quality during the TexAQS field mission 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 Gregory Garner Gator Team Meeting Gator Team Meeting 11/20/08 11/20/08

Gregory Garner Gator Team Meeting 11/20/08

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Literature Review: Impacts of background ozone production on Houston and Dallas, TX Air Quality during the TexAQS field mission. - PowerPoint PPT Presentation

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Page 1: Gregory Garner Gator Team Meeting 11/20/08

Literature Review:Literature Review:

Impacts of background ozone Impacts of background ozone

production on Houston and Dallas, TX production on Houston and Dallas, TX

Air Quality during the TexAQS field Air Quality during the TexAQS field

missionmission 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 GarnerGregory GarnerGator Team MeetingGator Team Meeting11/20/0811/20/08

Page 2: Gregory Garner Gator Team Meeting 11/20/08

IntroductionIntroduction

• TEXAQS (2000):TEXAQS (2000):

– Characterize effects of local emission and Characterize effects of local emission and

meteorology on ozone in HGBmeteorology on ozone in HGB

• HGB HGB Houston-Galveston-Brazoria Houston-Galveston-Brazoria

• TEXAQS II (2006):TEXAQS II (2006):

– Regional meteorological and chemical processes Regional meteorological and chemical processes

that lead to high-pollution events in HGB & DFWthat lead to high-pollution events in HGB & DFW

• DFW DFW Dallas-Fort Worth Dallas-Fort Worth

– Focus on what areas within and outside of Texas Focus on what areas within and outside of Texas

affect AQ in the non-attainment areasaffect AQ in the non-attainment areas

Page 3: Gregory Garner Gator Team Meeting 11/20/08

IntroductionIntroduction

http://maps.google.com/

http://www.westtexasrealestate.com/images/texas_map.jpg

DFWDFW & & HGBHGB MSAMSA http://maps.google.com/

Page 4: Gregory Garner Gator Team Meeting 11/20/08

IntroductionIntroduction

• Source regions identified using ensemble Source regions identified using ensemble

Lagrangian trajectoriesLagrangian trajectories

• Chemical analyses assimilated with Chemical analyses assimilated with

satellite data used as background along satellite data used as background along

trajectorytrajectory

• Comparison of analyses to airborne, Comparison of analyses to airborne,

balloon, and satellite data to verifyballoon, and satellite data to verify

• Trajectories classified using Lagrangian Trajectories classified using Lagrangian

averaged net ozone production averaged net ozone production

Page 5: Gregory Garner Gator Team Meeting 11/20/08

RAQMS InformationRAQMS Information

• RAQMS RAQMS Real-time Air Quality Modeling System Real-time Air Quality Modeling System

• Unified global chemical and aerosol assimilation Unified global chemical and aerosol assimilation

and forecasting systemand forecasting system

• Includes assimilation from:Includes assimilation from:

– Cloud Cleared OMI-TOMS collection 2 retrievalsCloud Cleared OMI-TOMS collection 2 retrievals

– OO33 and CO from Tropospheric Emission Spectrometer (TES) Level 2 and CO from Tropospheric Emission Spectrometer (TES) Level 2

• Biomass burning emissions from Moderate Biomass burning emissions from Moderate

resolution Imaging Spectroradiometer (MODIS) resolution Imaging Spectroradiometer (MODIS)

Terra and Aqua fire detectionTerra and Aqua fire detection

Page 6: Gregory Garner Gator Team Meeting 11/20/08

RAQMS InformationRAQMS Information

• OMI-TOMS OMI-TOMS

– 6hr intervals +/- 3hr 00, 06, 12, 18UTC6hr intervals +/- 3hr 00, 06, 12, 18UTC

– Correlate to within 1% against airborne insituCorrelate to within 1% against airborne insitu

– a prioria priori 3D monthly ozone profile climatology 3D monthly ozone profile climatology

• TES L2TES L2

– Hourly with averaging kernelHourly with averaging kernel

– TES OTES O33 3-10ppbv positive bias vs. ozonsonde 3-10ppbv positive bias vs. ozonsonde

– TES CO 10%-35% lower than airborne insituTES CO 10%-35% lower than airborne insitu

– a prioria priori Monthly mean mixing ratios from MOZART Monthly mean mixing ratios from MOZART

• Quality ControlQuality Control

– 1) Gross Check 2) Suspect ID 3) Buddy Check1) Gross Check 2) Suspect ID 3) Buddy Check

Page 7: Gregory Garner Gator Team Meeting 11/20/08

RAQMS VerificationRAQMS Verification

• Verification focused on OVerification focused on O33, NO, and NO, NO, and NOxx

• Comparison with satellite trace gas measurements to Comparison with satellite trace gas measurements to

characterize uncertaintiescharacterize uncertainties

• Compare TOCsCompare TOCs

– Use OMI-RAQMSUse OMI-RAQMSstratstrat to to

get the OMI TOCget the OMI TOC

– Interpolate to 1°x1° Interpolate to 1°x1°

binsbins

– Compare OMI-TOC to Compare OMI-TOC to

RAQMS TOCRAQMS TOC

Strat.

Trop.H

eig

ht

Ozone

Page 8: Gregory Garner Gator Team Meeting 11/20/08

RAQMS VerificationRAQMS Verification

Page 9: Gregory Garner Gator Team Meeting 11/20/08

RAQMS VerificationRAQMS Verification

Page 10: Gregory Garner Gator Team Meeting 11/20/08

RAQMS VerificationRAQMS Verification

RAQMS Med +20%

RAQMS Med +15%

Page 11: Gregory Garner Gator Team Meeting 11/20/08

RAQMS VerificationRAQMS Verification

No No AssimilationAssimilation

OMI OMI AssimilationAssimilation

TES TES AssimilationAssimilation

TES+OMI TES+OMI AssimilationAssimilation

StratospheriStratospheric Bias c Bias 20% Low20% Low >20% Low>20% Low 20% Low20% Low >20% Low>20% Low

UT/LS Bias UT/LS Bias >10% Low>10% Low 20% High20% High >10% High>10% High 20-30% High20-30% High

Upper Upper TropospheriTropospheri

c Bias c Bias 10% Low10% Low >10% High>10% High >10% High>10% High 0-20% Low0-20% Low

Lower Lower TropospheriTropospheri

c Biasc Bias10% Low10% Low > 10% High> 10% High > 10% High> 10% High 0-20% High0-20% High

• RAQMS vs. IONS-06 August SondesRAQMS vs. IONS-06 August Sondes

Page 12: Gregory Garner Gator Team Meeting 11/20/08

RAQMS VerificationRAQMS Verification

• RAQMS gets the A-OK RAQMS gets the A-OK “suitable” “suitable”– Coarse horizontal resolution & lowest Coarse horizontal resolution & lowest

resolvable height may lead resolvable height may lead underestimated urban NOunderestimated urban NO22

– ……which leads to underestimates in which leads to underestimates in nighttime titration of Onighttime titration of O33

– ……which leads to overestimates in which leads to overestimates in daytime Odaytime O33

• Bias (ppbv)Bias (ppbv)  HGB DFW Rural

06UTC 29.39 16.39 12.78

18UTC 25.21 18.41 13.96

Page 13: Gregory Garner Gator Team Meeting 11/20/08

ResultsResults

Page 14: Gregory Garner Gator Team Meeting 11/20/08

ResultsResults

Page 15: Gregory Garner Gator Team Meeting 11/20/08

ResultsResults

Page 16: Gregory Garner Gator Team Meeting 11/20/08

ResultsResults

Page 17: Gregory Garner Gator Team Meeting 11/20/08

ResultsResults

Page 18: Gregory Garner Gator Team Meeting 11/20/08

ResultsResults

Page 19: Gregory Garner Gator Team Meeting 11/20/08

Summary / ConclusionSummary / Conclusion

• Continental TOC are well represented in RAQMS Continental TOC are well represented in RAQMS

analysisanalysis

– RAQMS estimates of background ORAQMS estimates of background O33 production is production is

reasonablereasonable

• High ozone w/enhanced background OHigh ozone w/enhanced background O33

– HGB: 66% HGB: 66% Southern GL & recirculation Southern GL & recirculation

– DFW: ~50% DFW: ~50% Chicago & Houston Chicago & Houston

• NOTE:NOTE:

– Median profiles are OKMedian profiles are OK

– NO2 underestimated due to coarse resolutionNO2 underestimated due to coarse resolution