Bridging Carbon Cycling and Air Quality Studies using 14 CO 2 John - - PowerPoint PPT Presentation

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Bridging Carbon Cycling and Air Quality Studies using 14 CO 2 John - - PowerPoint PPT Presentation

Bridging Carbon Cycling and Air Quality Studies using 14 CO 2 John B. Miller, Scott Lehman, Steve Montzka, Colm Sweeney, Pieter Tans, Jocelyn Turnbull Fossil Fuel and 14 C IPCC 95 th %ile! USA Global QuickTime and a decompressor are


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SLIDE 1

Bridging Carbon Cycling and Air Quality Studies using 14CO2

John B. Miller, Scott Lehman, Steve Montzka, Colm Sweeney, Pieter Tans, Jocelyn Turnbull

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SLIDE 2

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Fossil Fuel and Δ14C

  • 14C is, by definition, absent from fossil fuels,

and thus an excellent tracer for Fossil Fuel emissions.

USA Global IPCC 95th %ile!

+ CarbonTracker

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SLIDE 3

Isotopic Notation

Δ

14C = (14C /C)sam

(14C /C)std −1 ⎡ ⎣ ⎢ ⎤ ⎦ ⎥ ×1000

Δff = -1000 per mil; Δatm ~ +55 per mil

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SLIDE 4

Simulated Fossil Fuel CO2 and Δ14C

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SLIDE 5

Airborne sampling

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CO2 v. Anthropogenic Tracers

Hypotheses H1: Lack of summer correlation due to CO2

  • NEE. Using 14CO2

instead of CO2 will improve correlation. H2: NEE also non-zero in winter. Using 14CO2 will change the slope.

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SLIDE 7

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Cobs = Cbg + Cfos + Cbio (ΔC)obs = (ΔC)bg + (ΔC)fos

East Coast CO2 and Δ14C (NHA + CMA)

2004 2008

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SLIDE 8

PBL and Free Troposphere CO

Cobs = Cbg + Cnet_source Cff v. Cnet_source

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SLIDE 9

Red=Summer; Blue=Winter m=19 ppb/ppm m=12 ppb/ppm m=7.2 ppt/ppm m=3.0 ppt/ppm m=1.2 ppt/ppm m=1.2 ppt/ppm m=4.0 ppb/ppm m=2.3 ppb/ppm

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Red=Summer; Blue=Winter m=6.2 ppb/ppm m=1.6 ppt/ppm m=0.7 ppt/ppm m=1.2 ppb/ppm H1 and H2 confirmed!

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Red=Summer; Blue=Winter m=19 ppb/ppm m=12 ppb/ppm m=7.2 ppt/ppm m=3.0 ppt/ppm m=1.2 ppt/ppm m=1.2 ppt/ppm m=4.0 ppb/ppm m=2.3 ppb/ppm mgas x Eff = Egas

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SLIDE 12

USA Emission Estimates

50 100 150 200 250 300 350 400 CO SF6 HFC134a HCFC22 HCFC142b PCE CH2Cl2 C6H6

Gg; Tg CO; 0 .1 Gg SF6

14CO2 EPA

51 59 38 49 % of Global

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Caveats

  • Relatively few 14C data
  • Some old emission inventories
  • Seasonal covariance between FF and

tracer emissions ⇒ ~5% high bias

  • Limited domain with high S:N

– Evidence for spatial emission ratio variability.

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SLIDE 14

NHA+CMA ‘Footprint’

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PBL Residence Time

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Fossil Fuel Emissions

Top-down Estimate ?

Footprint

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Bottom-up Estimate

Inventory

Future Calculations

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Conclusions

  • 14CO2 allows the partitioning of CO2 into fossil

fuel and biological components.

  • 14CO2 offers great promise as a tool to

calculate regional and seasonal emissions of anthropogenic gases.

  • At low ranges, correlating with total CO2

appears to result in a low bias.

  • Many species appear to exhibit significant

seasonal emission cycles.