Sensitivity of the US climate penalty to local and global emissions - - PowerPoint PPT Presentation

sensitivity of the us climate penalty to local and global
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Sensitivity of the US climate penalty to local and global emissions - - PowerPoint PPT Presentation

Sensitivity of the US climate penalty to local and global emissions Evan Couzo 1,2 , Erwan Monier 2 , Fernando Garcia-Menendez 2 , Nick Hoffman 3 , Minjoong Kim 4 , Rokjin Park 4 , and Noelle Selin 2,3 1 UNC Asheville, Department of Education 2 MIT


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SLIDE 1

Sensitivity of the US climate penalty to local and global emissions

Evan Couzo1,2, Erwan Monier2, Fernando Garcia-Menendez2, Nick Hoffman3, Minjoong Kim4, Rokjin Park4, and Noelle Selin2,3

1UNC Asheville, Department of Education 2MIT Joint Program on the Science and Policy of Global Change 3MIT Department of Earth, Atmospheric, and Planetary Sciences 4Seoul National University School of Earth and Environmental Sciences

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SLIDE 2

Climate influence on air quality is complex!

Projected changes in 2100 relative to present

Air surface temperature Precipitation Monier et al. (2014)

Climate change impacts air quality through a number of mechanisms:

  • chemistry
  • ventilation and stagnation
  • biogenic emissions
  • deposition rates

Climate Penalty = degradation of air quality under climate change in the absence of emissions changes

The climate penalty is likely a function of both climate and non-GHG emissions. To what extent do non-GHG anthropogenic emissions affect the climate penalty?

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SLIDE 3

Is climate penalty a function of anthropogenic emissions?

Present Climate Future Climate Present Emissions Future Emissions

Climate Penalty Anthropogenic Emissions Combined Effect

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SLIDE 4

Modeling climate impacts on AQ requires linked models.

Socioeconomic emissions scenarios General Circulation Models Global/regional chemical transport models

  • Large uncertainties are associated with climate simulations and

propagate to projections of air quality.

  • Characterizing uncertainty across the complete human-climate

system is essential to generation policy-relevant insights and guide environmental decision-making.

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SLIDE 5

MIT’s Integrated Global System Model is self-consistent.

Global Economic Model (EPPA) 3 scenarios:

  • REF (unconstrained emissions)
  • POL4.5 (GHG mitigation)
  • POL3.7 (more stringent mitigation)

Earth System Model

  • Multiple climate sensitivities
  • Linked to Community Atmosphere Model

(CAM) to provide meteorological fields Chemical Transport Model (GEOS-Chem) Focus on O3 and PM2.5

GHG emissions O3-PM precursor emissions CAM meteorology/climate

  • GEOS-Chem v9.02 with full chemistry
  • 2 x 2.5 degrees, 47 vertical layers
  • 10-year simulations to capture climate variability
  • 1995-2004 and 2095-2105
  • MIT’s IGSM used to drive CAM
  • GEOS meteorological fields replaced with CAM meteorology
  • Base emissions from 2006 projected for a future high emissions

“no climate policy” scenario (REF)

MIT’s IGSM

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SLIDE 6

REF induces similar temperature increase to RCP 8.5. REF is high emissions no-climate policy scenario.

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SLIDE 7

REF US anthropogenic emissions changes from 2006.

  • NO, NMVOC, and

CO emissions increase in REF scenario

  • SO2 emissions

decrease sharply

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SLIDE 8

REF anthropogenic emissions changes from 2006.

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SLIDE 9

Annual average O3 climate penalty leads to increases.

  • O3 Climate penalty is

greater when using 2006 emissions.

  • Two hot spots: northeast

and southwest.

  • Climate penalty up to 9.2

ppb with 2006 emissions.

  • Garcia-Menendez (2015)

showed more regional variation (e.g. north and northwest decreased), but they used annual 8-hr max.

Garcia-Menendez et al. (2015) climate penalty (2006 emissions) climate penalty (REF emissions)

climate penalty (2006 emissions)

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SLIDE 10
  • Same Δclimate produced more O3

with 2006 emissions than REF emissions

  • Anthropogenic NMVOC increase

likely small compared to biogenic NMVOC increase

  • Greater NOx efficiency (δO3/δNOx)

with lower NOx emissions, not converting as much NOx to O3 in REF

  • More NOx becoming HNO3

(surrogate for NOz) as a result of climate with REF emissions.

climate penalty (2006 emissions) climate penalty (REF emissions)

Why is climate penalty smaller with greater emissions?

HNO3: CP(REF) - CP(2006)

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SLIDE 11

Sign of PM2.5 climate penalty dependent on emissions.

  • US-wide increases in climate

penalty under 2006 emissions (except for upper midwest).

  • Under 2100 emissions, the climate

penalty becomes negative (climate benefit) except for northwest.

  • Maximum climate penalty increase

is 1.3 ug/m3 using 2006 emissions. Maximum decrease is 1.2 ug/m3 using 2100 emissions.

  • Sign and magnitude of PM2.5 climate

penalty agrees with Garcia- Melendez (2015) using 2006 emissions.

Garcia-Menendez et al. (2015) PM2.5 calculations do not include windblown dust. climate penalty (2006 emissions) climate penalty (REF emissions)

climate penalty (2006 emissions)

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SLIDE 12

Climate and emissions affect PM2.5 species differently.

2000 climate 2100 climate

climate penalty

2006 emis. REF emis.

anthro emissions

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SLIDE 13

Climate and emissions affect PM2.5 species differently.

2000 climate 2100 climate

climate penalty

2006 emis. REF emis.

anthro emissions

↑ NOx emissions ↓ SO2 emissions ↑ T = ↑ SO2 oxidation ↑ T = ↑ gas-phase HNO3

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SLIDE 14

Conclusions

  • Climate penalty is reduced under REF emissions scenarios.
  • Spatially averaged O3 penalty is 2.2 ppb (e2100) and 5.3

ppb (e2006). PM2.5 penalty is -0.3 ug/m3 (e2100) and 0.3 ug/ m3 (e2006).

  • Climate decreases nitrate and increases sulfate.
  • Choice of emissions year determines whether climate causes

PM2.5 increase or decrease.

PM2.5

e2006 m2000 e2006 m2100 eREF m2000 eREF m2100

O3

e2006 m2000 e2006 m2100 eREF m2000 eREF m2100 eREF m2000

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SLIDE 15

Next steps

  • Calculate population-weighted averages (should

increase the climate penalty)

  • Use longer climate averaging period (20 years or

30 years as in Garcia-Menendez et al. (2015))

  • Look at chemical indicators (e.g. δO3/δNO2, δO3/

δHNO3)

  • Simulate climate policy/lower emissions scenarios
  • Include climate effects on wildfires and dust
  • Perform complete benchmarking/model

performance evaluation

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SLIDE 16

Thanks.