Ozone in the Troposphere Air Quality Chemical Weather

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Ozone in the Troposphere: Air Quality, Chemical Weather and Climate Oliver Wild Centre for

Ozone in the Troposphere: Air Quality, Chemical Weather and Climate Oliver Wild Centre for Atmospheric Science, Cambridge Dept. of Environmental Science, University of Lancaster, 5 th June 2007

Why are we Interested in Tropospheric Ozone? Pollution: O 3 is an important component

Why are we Interested in Tropospheric Ozone? Pollution: O 3 is an important component of photochemical smog Tropospheric oxidation: O 3 regulates oxidation through control of OH and controls removal of CH 4, VOCs, etc. Climate: Direct: O 3 is a greenhouse gas Indirect: O 3 governs lifetime of other GHGs via OH Anthropogenic Influence: Surface and Tropospheric O 3 is increasing due to human activity • Environmental impacts on local, regional and global scales • Secondary pollutant: sensitive to many variables – Chemical production can be fast in polluted conditions – Lifetime is sufficiently long for global-scale transport

Ozone in the Troposphere • Intercontinental transport of O 3 from industrial sources –

Ozone in the Troposphere • Intercontinental transport of O 3 from industrial sources – Very long-range transport and the global O 3 background • Regional meteorology and its impacts on O 3 – How do physical processes govern chemistry and transport? • Characterising the uncertainty in current chemistry models – Can we explain the observed trends in O 3 and CH 4? – What processes affecting O 3 are least well understood? Underlying themes: 1. Development and evaluation of tropospheric chemistry models 2. Thorough testing of models against atmospheric measurements 3. Application to air quality and climate issues (O 3 and CH 4)

Processes Controlling Tropospheric O 3 O 3 Strat. -Trop. Exchange NMHCs, CH 4, CO

Processes Controlling Tropospheric O 3 O 3 Strat. -Trop. Exchange NMHCs, CH 4, CO OH HO 2, RO 2 NO NO 2 hν Emissions CO, O 3 O 3 Deposition hν OH HO 2 H 2 O O 3

Processes Controlling Tropospheric O 3 O 3 Strat. -Trop. STE: Governed by meteorological Exchange

Processes Controlling Tropospheric O 3 O 3 Strat. -Trop. STE: Governed by meteorological Exchange systems, filamentation and mixing NMHCs, CH 4, CO OH HO 2, RO 2 NO NO 2 hν Emissions CO, O 3 hν production is non. Chemistry: O 3 O OH HO 3 linear; strongly location-dependent 2 H 2 O O 3 Deposition: dependent on highly Deposition variable surface environment

FRSGC/UCI Global CTM Wild and Prather [2000] Wild and Akimoto [2001] Wild et al.

FRSGC/UCI Global CTM Wild and Prather [2000] Wild and Akimoto [2001] Wild et al. , [2003] 2 50 100 Pressure /h. Pa 200 400 600 Strat-Trop Exchange Strat. Chemistry: Linoz Cloud Formation Lightning NOx source Convection: Tiedke Photolysis: Fast-J Advection: 2 nd o. M Tropospheric Chemistry PBL Turbulence 800 1000 Surface Processes ASAD, 37 species Emissions Deposition 37 Levels T 42 resolution (2. 8°x 2. 8°); driven with ECMWF-IFS forecast fields

1. Intercontinental Transport of Ozone Current Industrial/Fossil Fuel NOx Emissions • Industrial emission regions

1. Intercontinental Transport of Ozone Current Industrial/Fossil Fuel NOx Emissions • Industrial emission regions located at similar latitudes – Transport times about 1 week; chemical lifetime 3 -4 weeks • How much do major emission regions affect each other? – How much do they contribute to background O 3? – Could this affect attainment of air quality standards? • Explore O 3 production and transport with 3 -D global CTM – Single-region anthropogenic emission perturbation experiments

 • Photochemistry active in summer • Transport most efficient in spring Largest O

• Photochemistry active in summer • Transport most efficient in spring Largest O 3 impacts in late spring Wild and Akimoto [2001]

East Asian Emissions Source. Receptor Matrix US Emissions European Emissions • Major emission regions

East Asian Emissions Source. Receptor Matrix US Emissions European Emissions • Major emission regions directly affect each other – Upwind sources contribute 1 -2 ppbv to surface background O 3 – This is sufficient to affect attainment of air quality standards – Study now being repeated with many models (HTAP) to inform policy

2. Regional Meteorology and Chemical Weather Key Questions and Challenges – How are regional

2. Regional Meteorology and Chemical Weather Key Questions and Challenges – How are regional and global impacts influenced by meteorology? • What is the variability in O 3 production from a given source? – How does meteorology govern climate impacts of sources? • How will future changes in meteorology affect climate impacts? – How well can models simulate the time scales for O 3 formation? Model Approach – Perturb fossil fuel NOx/CO/NMHC emissions over one region for one day • Follow atmospheric perturbation for 1 month – Repeat for each day of March 2001 (TRACE-P measurement campaign) – Look at variability in magnitude and location of O 3 production

Ozone Responses Look at regional and global O 3 from a single day’s emissions

Ozone Responses Look at regional and global O 3 from a single day’s emissions over Shanghai March 12 – Sunny, high pressure – Strong regional P(O 3) March 16 – Heavily overcast – Little regional P(O 3) Regional production different, Global production similar – Evolution quite different – Location of P(O 3) different

Meteorological Setting on March 12 and 16, 2001 H L L H Column- and

Meteorological Setting on March 12 and 16, 2001 H L L H Column- and latitude-integrated gross O 3 production over the first 3 days following 1 day of emissions over Shanghai

Ozone Response to Shanghai Emissions Global Ozone Increase Regional Boundary Layer Distant Boundary Layer

Ozone Response to Shanghai Emissions Global Ozone Increase Regional Boundary Layer Distant Boundary Layer Free Troposphere • Effects on O 3 burden – Days with high regional O 3 (smog) have a reduced effect on global O 3 – Regional meteorology strongly influences climate impacts • P(O 3) vs. NOx loss for each day – O 3 production efficiency (OPE) strongly dependent on location – Good representation of lifting processes is required!

3. Exploring the Uncertainty in Current CTMs O 3 Burden vs. O 3 Lifetime

3. Exploring the Uncertainty in Current CTMs O 3 Burden vs. O 3 Lifetime Diagonals in grey show O 3 loss rate (Tg/year) (τO 3 = Burden/Loss) • ACCENT studies • CTM with NMHC • CTM without NMHC • CTM studies show large differences in O 3 burden and lifetime – Where do these differences originate? • Perform sensitivity study on key processes in a single CTM – Identify processes contributing to this uncertainty

3. Exploring the Uncertainty in Current CTMs O 3 Burden vs. O 3 Lifetime

3. Exploring the Uncertainty in Current CTMs O 3 Burden vs. O 3 Lifetime 330 Tg/yr Diagonals in grey show O 3 loss rate (Tg/year) (τO 3 = Burden/Loss) • ACCENT studies • CTM with NMHC • CTM without NMHC 22. 4 days Best estimates from recent model studies • CTM studies show large differences in O 3 burden and lifetime – Where do these differences originate? • Perform sensitivity study on key processes in a single CTM – Identify processes contributing to this uncertainty

3. Exploring the Uncertainty in Current CTMs O 3 Burden vs. O 3 Lifetime

3. Exploring the Uncertainty in Current CTMs O 3 Burden vs. O 3 Lifetime Diagonals in grey show O 3 loss rate (Tg/year) 800 Tg STE 60 Tg NOx 650 Tg Isop 7. 5 Tg NOx lightning 460 Tg dep − 20% Sensitivity to key variables explains much of the scatter T− 5°C T+5°C 975 Tg dep +20% 30 Tg NOx +20% H 2 O 0 Tg 250 Tg STE 0 Tg − 20% H 2 O

3. Exploring the Uncertainty in Current CTMs • ACCENT studies • CTM with NMHC

3. Exploring the Uncertainty in Current CTMs • ACCENT studies • CTM with NMHC • CTM without NMHC • Summary of key sensitivities – – Account for 2/3 of NOx emissions: more O 3, P(O 3), more OH model variability Isoprene emissions: more O 3, P(O 3), less OH Lightning NOx: poorly constrained, large impact on O 3 and OH Meteorology: effects of humidity and STE • Implications – Current models are not good enough to model trends in O 3 and CH 4!

Future Studies • Modelling atmosphere-vegetation interactions – Important feedbacks between O 3, VOC, N-species

Future Studies • Modelling atmosphere-vegetation interactions – Important feedbacks between O 3, VOC, N-species and plants – Interaction of anthropogenic and vegetation emissions is very poorly understood and requires spatial disaggregation – Currently lead the ‘biogenic fluxes’ theme in JULES Climate aerosol NOx, CO VOC O 3 VOC NOy NO Soils Requires improved treatment of biogenic emissions and deposition. Crops Involves collaboration with land use and vegetation community and a full Earth System approach

Future Studies • Improved treatment of urban emissions in climate models – – Improved

Future Studies • Improved treatment of urban emissions in climate models – – Improved simulation of O 3 production in coarse-resolution models Reduced bias in regional/global O 3 important for climate Allows better testing against surface observations Important for assessing environmental impacts of Megacities Background These processes function on a range of scales, but their impacts on climate have not been assessed. Plume Mixing zone Wind Direction Involve strong collaboration with the UK and EU urban & local modelling community

Future Studies • Modelling the evolution of tropospheric oxidation – – Reproducing the observed

Future Studies • Modelling the evolution of tropospheric oxidation – – Reproducing the observed trends in CH 4 and O 3 Important for climate and air quality communities Requires improved understanding of tropospheric chemistry Need a better characterization of variability in CH 4 sources Need more thorough testing of models vs. observations Contributes to goals of new international Atmospheric Chemistry and Climate project

Annual Mean Impacts on O 3 Wild and Akimoto [2001]

Annual Mean Impacts on O 3 Wild and Akimoto [2001]

Daily O 3 from Source Regions in Springtime Global Impact Receptor Region

Daily O 3 from Source Regions in Springtime Global Impact Receptor Region

r 2=0. 92 OPE=35

r 2=0. 92 OPE=35

Evolution of O 3 profile over Cheju, Korea in CTM TRACE-P Ozonesondes – Very

Evolution of O 3 profile over Cheju, Korea in CTM TRACE-P Ozonesondes – Very different profiles Pressure /h. Pa • Stratospheric intrusion at Cheju, Korea, March 1– 2, 2001 • Intercepted by sondes on successive days Tropopause • CTM captures evolution of features well – – Two layers on March 1 Background strat. enhancement One high layer on March 2 Residual strat air mixed in • Suggests mechanisms for STE can be captured, but demonstrates high degree of variability in ozone Sonde data: Sam Oltmans, NOAA/CMDL March 1, 2001 March 2, 2001

Net O 3 Production Rate • Instantaneous O 3 production in CTM vs. box

Net O 3 Production Rate • Instantaneous O 3 production in CTM vs. box model constrained by observations • Mean latitude-altitude profile over all DC 8/P 3 B flights • Net destruction in tropical marine boundary layer • Strong production over Japan • Strong plume activity in outflow region, 23º– 32ºN • Net production in upper trop (underestimated in CTM) (Box model: Jim Crawford, NASA Langley, Doug Davis, Georgia Tech. )