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The Seasonality of Tropospheric Ozone and Reactive Nitrogen: From Measurements to Models 3 rd Year Analytical Seminar March 14, 2016 Outline: 1) Project #1 – Colorado Emissions & Ozone Photochemistry 2) Project #2 – Wintertime Reactive Nitrogen Partitioning Erin E. McDuffie 1,2,3 , Steven S. Brown 1,3 , Jessica B. Gilman 2,3 , Brian M. Lerner 2,3 , Peter M. Edwards 4 , Dorothy Fibiger 5 , William P. Dubé 2,3 , Michael Trainer 3 , Wayne M. Angevine 2,3 , Stuart McKeen 2,3 , Daniel E. Wolfe 6 , Alex G. Tevlin 7 , Jennifer Murphy 7 , Emily V. Fischer 8 , Felipe Lopez-Hilfiker 8 , Joel A. Thornton 8 , Jeff Peischl 2,3 , Andrew O. Langford 2,3 , Christoph J. Senff 2,3 , John S. Holloway 2,3 , Eric J. Williams 3 , Joost deGouw 1,2,3 , Thomas B. Ryerson 3 , Kenneth Aiken 2,3 , Samuel Hall 10 , Kirk Ullmann 10 , Kathy O. Lantz 10 , Bill Kuster 2,3 , Rebecca Hornbrook 10 , Eric Apel 10 , Allan Hills 10 1 Department of Chemistry, University of Colorado, 2 Cooperative Institute for Research in Environmental Sciences, University of Colorado, 3 NOAA, Chemical Sciences Division, 4 Department of Chemistry, University of York, United Kingdom, 5 Geospace Postdoctoral Fellow, 6 NOAA, Physical Sciences Division, 7 Department of Chemistry, University of Toronto, Canada, 8 Department of Atmospheric Science, Colorado State University, 9 Department of Atmospheric Sciences, University of Washington, 10 Atmosperic Chemistry Observations and Modeling Laboratory, NCAR, 11 NOAA, Global Monitoring Division

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  • The Seasonality of Tropospheric Ozone and Reactive Nitrogen: From Measurements to Models

    3rd Year Analytical Seminar March 14, 2016

    Outline:1) Project #1 – Colorado Emissions & Ozone Photochemistry2) Project #2 – Wintertime Reactive Nitrogen Partitioning

    Erin E. McDuffie1,2,3, Steven S. Brown1,3, Jessica B. Gilman2,3, Brian M.Lerner2,3, Peter M. Edwards4, Dorothy Fibiger5, William P. Dubé2,3,Michael Trainer3, Wayne M. Angevine2,3, Stuart McKeen2,3, Daniel E. Wolfe6,Alex G. Tevlin7, Jennifer Murphy7, Emily V. Fischer8, Felipe Lopez-Hilfiker8,Joel A. Thornton8, Jeff Peischl2,3, Andrew O. Langford2,3, Christoph J. Senff2,3,John S. Holloway2,3, Eric J. Williams3, Joost deGouw1,2,3, Thomas B. Ryerson3,Kenneth Aiken2,3, Samuel Hall10, Kirk Ullmann10, Kathy O. Lantz10, BillKuster2,3, Rebecca Hornbrook10, Eric Apel10, Allan Hills10

    1Department of Chemistry, University of Colorado, 2Cooperative Institute for Research in Environmental Sciences, University of Colorado, 3NOAA, Chemical Sciences Division, 4Department of Chemistry, University of York, United Kingdom, 5Geospace Postdoctoral Fellow, 6NOAA, Physical Sciences Division, 7Department of Chemistry, University of Toronto, Canada, 8Department of Atmospheric Science, Colorado State University, 9Department of Atmospheric Sciences, University of Washington, 10Atmosperic Chemistry Observations and Modeling Laboratory, NCAR, 11NOAA, Global Monitoring Division

  • Tropospheric Ozone: Motivation

    ‘Oxidized VOCs’ + NOx à O3

    Greenhouse Gas + Health Hazard à Regulated by US EPA

    Photochemical Source:

  • Tropospheric Ozone: Photochemistry

    NO NO2

    O3

    NOzOH

    Sunlight, O2

    O3

    NOxEmissions

  • NOxEmissions NO NO2

    OH

    Sunlight, O2

    VOCOHO2

    RO2 RO

    O3

    VOC Emissions

    Tropospheric Ozone: Photochemistry

    NOz

  • NO NO2 NOzOH

    Sunlight, O2

    VOCOHO2

    RO2Organic nitrate

    O3

    RO

    Tropospheric Ozone: Photochemistry

    NOxEmissions

    VOC Emissions

  • NO NO2 NOzOH

    Sunlight, O2

    VOCOHO2

    RO2 RO

    O3

    Radical Recycling =

    More Efficient O3 Production

    O2

    Tropospheric Ozone: Photochemistry

    NOxEmissions

    VOC Emissions

    Local/Regional Emission Sectors

  • increased baseline ozone impacting some regions of the west-ern U.S.[39] Global average surface temperature increased by

    0.074!C " 0.18!C per decade when estimated by a lineartrend for the 100 year period,1906–2005 [IntergovernmentalPanel on Climate Change (IPCC), 2007], while the rate ofincrease since the late 1970s is 0.15!C–0.20!C per decade[Hansen et al., 2010]. As global temperatures have increasedsince the 19th century so too has the global troposphericozone burden, primarily due to rising anthropogenic emis-sions of ozone precursors [Lamarque et al., 2005]. Based onthe model studies of ozone response to future climatechange, one might assume that past ozone changes have alsobeen influenced by climate change since the 19th century. Arecent intercomparison of 10 atmospheric chemistry models

    run with year 2000 emissions but with 2000s and 1850sclimate shows a range of responses of tropospheric ozone tothe observed temperature increase [Stevenson et al., 2012].Six out of 10 models indicate ozone decreases at the surfaceof the northern hemisphere midlatitudes due to observedclimate change, but the decreases are small (

  • • Increased Western Wildfire Activity• Pollution Transport from Asia• Changes in Regional Urban and Oil

    and Natural Gas (O&NG) Emissions

    increased baseline ozone impacting some regions of the west-ern U.S.[39] Global average surface temperature increased by

    0.074!C " 0.18!C per decade when estimated by a lineartrend for the 100 year period,1906–2005 [IntergovernmentalPanel on Climate Change (IPCC), 2007], while the rate ofincrease since the late 1970s is 0.15!C–0.20!C per decade[Hansen et al., 2010]. As global temperatures have increasedsince the 19th century so too has the global troposphericozone burden, primarily due to rising anthropogenic emis-sions of ozone precursors [Lamarque et al., 2005]. Based onthe model studies of ozone response to future climatechange, one might assume that past ozone changes have alsobeen influenced by climate change since the 19th century. Arecent intercomparison of 10 atmospheric chemistry models

    run with year 2000 emissions but with 2000s and 1850sclimate shows a range of responses of tropospheric ozone tothe observed temperature increase [Stevenson et al., 2012].Six out of 10 models indicate ozone decreases at the surfaceof the northern hemisphere midlatitudes due to observedclimate change, but the decreases are small (

  • 4000

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    Urban Boundaries Active Oil&Gas Wells Agriculture Power Plants Measurement Site

    Denver

    Boulder

    GreeleyFort

    Collins

    BAO

    Ozone Nonattainment Area

    Urban NOx + VOC

    > 27,000 Active Oil and Natural Gas Wells

    Colorado

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Colorado Northern Front Range (NFR)

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    Denver

    Boulder

    GreeleyFort

    Collins

    BAO

    Ozone Nonattainment Area

    > 27,000 Active Oil and Natural Gas Wells

    Colorado

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Colorado Northern Front Range (NFR)

    Urban NOx + VOC

    300m Tower

  • Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Data: NOx, NOy, O3, Speciated VOCs, CH4, CO, NH3, j(NO2), albedo, meteorological data

    2014FRAPPE/DISCOVER-AQ(NOy, no speciated VOCs)

    2012 – SONNE (Speciated VOCs, no NOy)

    300m

    10m

  • 2014 Chemical Tracers

    6090

    120150180

    60 90120150180

    CO 90th, 10th Percentile 75th, 25th Percentile Average

    N

    E

    S

    Wppbv

    ppbv

    3691215

    3 6 9 12 15

    N

    E

    S

    W

    NOy 90th, 10th Percentile75th, 25th Percentile Average

    ppbv

    ppbv

    1.91.95

    22.052.1

    1.95 2 2.052.1ppmv

    N

    Methane 90th, 10th Percentile 75th, 25th Percentile Average

    E

    S

    W

    ppmv

    Composition at BAO characteristic of Urban and O&NG Emission Sectors

    Oil and Natural Gas: Enhanced CH4

    Urban: NOx and Enhanced CO

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

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    3000

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    Urban Boundaries Active Oil&Gas Wells Agriculture Power Plants Measurement Site

    Denver

    Boulder

    GreeleyFort

    Collins

    BAO

    Ozone Nonattainment Area

    Average

    90th, 10th Percentiles

    75th, 25th Percentiles

  • 2012 VOCs

    Composition at BAO characteristic of Urban and O&NG Emission Sectors

    VOC Distribution (ppbC)SONNE Diurnal Average6am-8pm Avg

    82%

    1%

    3%6%

    1%7%

    Average Fractional Contribution

    O&NG VOC Contribution

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Gilman, J.B. et al. Environ Sci

    Technol, 2013, 43(3), 1297

    Alkanes Alkenes/Alkynes

    Aromatics Aldehydes/Ketones Alcohols Biogenic VOC

    Bar Height: Mean Carbon Mixing Ratio

    Alkanes

  • Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    OH Reactivity (OHR):

    Σ(kOH+VOC *[VOC])

    Previously used in O&NG focused O3 studies

  • Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    OH Reactivity (OHR):

    Σ(kOH+VOC *[VOC])

    Previously used in O&NG focused O3 studies

    Commonly used as a metric for ‘O3 forming potential’

  • Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Marcellus Basin, PA• O&NG: 7%• Biogenic: 47%

    Barnett Basin, TX• O&NG: 13-20%• Biogenic: 70%

    Comparison to other US O&NG Basins:

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    -128 -124 -120 -116 -112 -108 -104 -100 -96 -92 -88 -84 -80 -76 -72 -68 -64

    Rutter, A. P., et al. Atmospheric Environment, 2015, 120, 89

    O&NG VOCs contribute ~ 50% to OH Reactivity

    OH Reactivity (OHR):

    Swarthout, R. F., et al. Environ. Sci. Technol., 2015, 49(5), 3175

  • OPE: Slope of Ox ( = O3 + NO2) against NOz (= NOy- NOx ) as a measure of the number of O3 molecules produced per NOx molecules oxidized

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    NOT previously used in O&NG focused O3 studies

    Local/Regional Emission Sectors

  • OPE: Slope of Ox ( = O3 + NO2) against NOz (= NOy- NOx ) as a measure of the number of O3 molecules produced per NOx oxidized

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Average of 80 Individual OPEs = 5.3 ± 3.6 ppbv/ppbv

    100

    90

    80

    70

    60

    50

    40

    Ox (

    ppbv

    )

    6543210NOz = (NOy - NOx) (ppbv)

    100

    90

    80

    70

    60

    50

    40

    Ox (

    ppbv

    )

    6543210NOz = (NOy - NOx) (ppbv)

    Individual 15-min OPE

    2014: 12pm-6pm (MDT) 16 July-15 August

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    Ozone Nonattainment Area

    100

    90

    80

    70

    60

    50

    40

    Ox (

    ppbv

    )

    6543210NOz = (NOy - NOx) (ppbv)

    North East South West

    Wind Diretion

    OPE vs. Wind Direction

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Urban and O&NG OPEs not distinguished by wind direction

    OPE Differences:1) Obscured by air mixing 2) < 1.4 ppbv/ppbv

    100

    90

    80

    70

    60

    50

    40

    Ox (

    ppbv

    )

    6543210NOz = (NOy - NOx) (ppbv)

    North East South West

    Wind Diretion

    Individual 15-min OPE

  • Combined Wind Direction & Chemical Tracer Analysis Results:

    1) Mixed air masses at BAO2) O&NG and Urban sectors do not uniquely influence OPE by > 1.4 ppbv/ppbv

    OPE vs. Chemical Tracers

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Urban and O&NG OPEs are not distinguished by simple chemical tracers

    • O&NG: Enhanced CH4

    • Urban: Enhanced CO and NOx

    r2 + N àp-values > 0.05

  • Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Photochemical Box-Model: Dynamically Simple Model of Atmospheric Chemical Complexity (DSMACC) - Emmerson, K. M., Evans, M. J., Atmos. Chem. Phys., 2009

    NOT previously used in O&NG focused SUMMER O3 studies

    Photolysis – NCAR’s TUV à Scaled to j(NO2)/j(O1D) observations Chemistry – Master Chemical Mechanism (MCM) à 4002 species, 15555 reactions

    Wintertime O3 Production in Utah’s Uintah O&NG BasinEdwards, P. M. et al., Nature, 2014, and Edwards, P. M. et al., Atmos. Chem. Phys., 2013

    Base Case Simulated O3

    70

    60

    50

    40

    30O

    zone

    (ppb

    v)

    00:00 06:00 12:00 18:00 00:00Local Time (MDT)

    Model

    Observations

    -2.5%

  • Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    On Average, Oil and Natural Gas (O&NG) VOC Emissions Contribute ~19%* to Maximum O3 Photochemically Produced at BAO

    The Northern Front Range of Colorado is in a NOx Sensitive Regime

    Alkanes Alkenes/Alkynes Aromatics Aldehydes/Ketones Alcohols Biogenic VOC

  • 10

    8

    6

    4

    2

    0

    OPE

    (ppb

    v/pp

    bv)

    frap_obs frap_modl son_mod

    2014 2012

    Location Field Measurements OH Reactivity O3 Production Efficiency Box-Model

    Modeled OPE: Dependent on NOx mixing ratio and temperature

    Observed Modeled Modeled

    Average OPE vs Base Case

    1) Modeled OPEs within 1 standard deviation of Observed 2014 Average (accurate Base Case)

    10

    8

    6

    4

    2

    0O

    PE (p

    pbv/

    ppbv

    )fb fx sb sx

    Base Case No O&NG VOC

    2014 Modeled 2012 Modeled

    Base Case vs No O&NG VOCs

    2) O&NG Emissions influence OPE by ~1.0 ppbv/ppbv(consistent with OPE vs wind direction analysis)

    6.2 vs 5.2 ppbv/ppbv

    6.3 vs 5.3 ppbv/ppbv

  • Project #1: Summary and Conclusions

    Regional O3 photochemistry is dependent on local NOx and VOC emission sources

    BAO experiences both O&NG & urban emissions

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    Ozone Nonattainment Area

    At BAO:1) O3 production is sensitive to NOx emissions

    2) O&NG VOC emissions contribute:~ 80% to observed carbon mass (ppbC)~ 50% to O3 forming potential (OHR) ~ 19% to maximum photochemical O3~ 1.0 ppbv/ppbv OPE

  • Project #2: Influence of Reactive Nitrogen Chemistry on Wintertime Tropospheric O3

    NOzNOx

    Emissions NO NO2OH

    Sunlight, O2

    O3

    VOCOH

    O2RO2 RO

    VOC Emissions

  • NOzNOx

    Emissions NO NO2OH

    Sunlight, O2

    O3

    VOCOH

    O2RO2 RO

    VOC Emissions

    Project #2: Quantify the Influence of Heterogeneous Reactive Nitrogen Mechanisms on Winter O3

    Tropospheric Ozone: Dark Chemistry

  • NOxEmissions NO NO2

    Tropospheric Ozone: Dark Chemistry

    O3

    Sunlight, O2

    O3

  • NO3NOx

    Emissions NO NO2

    Tropospheric Ozone: Dark Chemistry

    O3

    O3+ N2O5

    HNO3

    ClNO2Sunlight, O2

    O3

    Consequences for:

    • Wintertime tropospheric O3 budget• Lifetime and distribution of NOx, O3, and additional tropospheric oxidants (i.e. OH)• Magnitude and mechanisms for sources of tropospheric halogens

    Reactive Nitrogen Partitioning

  • NO3NOx

    Emissions NO NO2 O3+ N2O5

    HNO3

    ClNO2

    VOCOH

    O2RO2 RO

    VOC Emissions

    O3 NOx Reservoir

    NOx Sink

    Consequences for:

    • Wintertime tropospheric O3 budget• Lifetime and distribution of NOx, O3, and additional tropospheric oxidants (i.e. OH)• Magnitude and mechanisms for sources of tropospheric halogens

    Sunlight, O2

    Reactive Nitrogen Partitioning

  • Heterogeneous N2O5 Processes: Key Parameters

    γϕ

    γ(N2O5) Reactive Uptake

    Coefficient

    ϕ(ClNO2)Production Yield

    Range γ(N2O5):

    10-3 – 0.04

    Range ϕ(ClNO2):

    0 – 1

    NO3 N2O5

    HNO3

    ClNO2NOx

    Reservoir

    NOx Sink

    NOxReservoir

    Remaining Scientific Uncertainties: γ, ϕ in different ambient environments (e.g. temperature, RH, aerosol composition)

    …Approach… field data to constrain values

  • February – March 2015• 6 weeks – 13 research flights

    • Day and Night• Coastal and Interior Environments

    Campaign: Wintertime Investigation of Transport, Emissions, and Reactivity (WINTER)

    6-Channel CRD: N2O5, NO3, NOx, O3, NOy

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    -128 -124 -120 -116 -112 -108 -104 -100 -96 -92 -88 -84 -80 -76 -72 -68 -64

    US East CoastNO3 N2O5

    HNO3

    ClNO2NOx

    Reservoir

    NOx Sink

    NOxReservoir

    Heterogeneous N2O5 Processes: Observed Variability

    3 Examples from WINTER:

    γϕ

  • 2.01.51.00.5N2O5 (ppbv)

    N2O5 as NOxreservoir

    Feb. 24th

    Washington DC

    *HNO3 and ClNO2 from University of Washington CIMS

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    US East CoastNO3 N2O5

    HNO3

    ClNO2NOx

    Reservoir

    NOx Sink

    NOxReservoir

    Heterogeneous N2O5 Processes: Observed Variability

    N2O5 HNO3 ClNO2

    3 Examples from WINTER:

    γϕ

  • 2.01.51.00.5N2O5 (ppbv)

    N2O5 as NOxreservoir

    2.01.51.00.5N2O5 (ppbv)

    N2O5conversion to

    HNO3

    Feb. 24th Feb. 23rd

    Washington DC

    *HNO3 and ClNO2 from University of Washington CIMS

    5048

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    -128 -124 -120 -116 -112 -108 -104 -100 -96 -92 -88 -84 -80 -76 -72 -68 -64

    US East CoastNO3 N2O5

    HNO3

    ClNO2NOx

    Reservoir

    NOx Sink

    NOxReservoir

    Heterogeneous N2O5 Processes: Observed Variability

    N2O5 HNO3 ClNO2

    3 Examples from WINTER:

    γϕ

  • N2O5 HNO3 ClNO2

    2.01.51.00.5N2O5 (ppbv)

    N2O5 as NOxreservoir

    2.01.51.00.5N2O5 (ppbv)

    N2O5conversion to

    HNO3

    6.7%

    39.6% 53.7%

    2.01.51.00.5N2O5 (ppbv)

    N2O5 conversion to ClNO2

    Feb. 24th Feb. 23rd Feb. 8thWashington DC

    New York City

    *HNO3 and ClNO2 from University of Washington CIMS

    5048

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    -128 -124 -120 -116 -112 -108 -104 -100 -96 -92 -88 -84 -80 -76 -72 -68 -64

    US East CoastNO3 N2O5

    HNO3

    ClNO2NOx

    Reservoir

    NOx Sink

    NOxReservoir

    Heterogeneous N2O5 Processes: Observed Variability

    3 Examples from WINTER:

    γϕ

  • Reactive Nitrogen Chemistry not well quantified or parameterized, important to winter O3 budgetObservational Winter data collected during recent campaign

    • Goals:– Constrain observed gamma– Model gamma under different observed conditions

    Project #2: Summary and Future Work

    Scientific Questions1) What drives Reactive Nitrogen Partitioning (i.e. differences in γ and ϕ)?2) Can we associate certain partitioning with certain ambient conditions?3) Can we use conditions/chemistry to predict γ and ϕ?

    WINTER data show: γ and ϕ are highly variable

    Methods1) Derive γ, ϕ from N2O5, ClNO2,

    aerosol observations2) Box - Model γ

    Model Output:

    k(N2O5) = 14*c*SA *γ (N2O5 )

  • Questions?

    *NYC from the C130 cockpit, photo courtesy of Joel Thornton