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Monitoring ffCO₂ emission hotspots
using atmospheric ¹⁴CO₂ measurements
1 ICOS Central Radiocarbon Laboratory, Germany
2 IUP, Heidelberg University, Germany
S. Hammer1,2, T. Kneuer2, F. Maier2, C. Rieß2, J. Della Coletta1,
S. Preunkert1,3, I. Storm4, U. Karstens4 and I. Levin2
3 IGE, Université Grenoble Alpes, France
4 ICOS Carbon Portal, Sweden
Estimating the fossil fuel CO2 concentration
enhancement of an urban emission area
• Lagrangian up- and downwindapproach
• Use 14CO2 to separate ff and bio CO2
contributions
Urban emission area
2
Estimating the fossil fuel CO2 concentration
enhancement of an urban emission area
• Lagrangian up- and downwindapproach
• Use 14CO2 to separate ff and bio CO2
contributions
Upwind
station
Downwind
station
Urban emission area
3
Estimating the fossil fuel CO2 concentration
enhancement of an urban emission area
• Lagrangian up- and downwindapproach
• Use 14CO2 to separate ff and bio CO2
contributions
Upwind
station
Downwind
station
Urban emission area
• INFLUX was the pioneer for
Lagrangian urban CO2 networks
INFLUXexperiment
Richardson, et al., Elem.
Sci. Anth (2017).
4
RINGO approach:
• Investigate synergies with the ICOS
atmosphere network to perform
urban upwind and downwind
measurements. (poor men's
INFLUX).
• Model supported sampling strategy
to ensure the best possible
approximation of Lagrangian
conditions.
FRE
HEI
CO2 emission data
provided by TNO
5
Open questions…
• Which background measurement can be
used for 14CO2-based ffCO2 estimates?
• Does nuclear 14C contamination influence
this choice?
• Is the total CO2- offset a good proxy for
the fossil fuel CO2 enhancement?
FRE
HEI
SSL
@ 1100m NN
Photo:ChristophZinsius/UBA
CO2 emission
data provided
by TNO
6
7
14CO2 observations in the Rhine valley
14CO2 observations in the Rhine valley
8
Assume you have 100 14CO2 samples, which sampling strategy will
provide the better ffCO2 estimate during the dormant season?
14CO2 observations in the Rhine valley
9
Assume you have 100 14CO2 samples, which sampling strategy will
provide the better ffCO2 estimate during the dormant season?
Strategy A:
up- / downwind approach
I happily spend half of my
samples to have a better
estimate of the background
conditions!
14CO2 observations in the Rhine valley
10
Assume you have 100 14CO2 samples, which sampling strategy will
provide the better ffCO2 estimate during the dormant season?
Strategy B:
regional BG approach
I accept a larger
background uncertainty,
but I get twice the
downwind samples!
Strategy A:
up- / downwind approach
I happily spend half of my
samples to have a better
estimate of the background
conditions!
14CO2 observations in the Rhine valley
11
14CO2 observations – corrected for 14Cnuc
12
14CO2 observations – corrected for 14Cnuc
• Std. dev. of upwind samples from the
BG-fit: 4.3‰ during dormant season.
• Average difference: 0.2 ‰.
13
Std. dev.:
4.3‰
14CO2 observations – corrected for 14Cnuc
14
14CO2 observations – corrected for 14Cnuc
• magnitude of nuc. correction varies
• nuc. correction largely inherent in
the two-station approach
15
Annual mean nuc 14C emissions:
WRF: - ERA-5 (0.25°)
- 2 km x 2 km
STILT: - ECMWF op. Analysis (0.25°)
- 10 km x 10 km
Is the modelled nuclear 14C correction reliable?
WRF: nuccorr= 0.6 ‰ STILT: nuccorr= 8.2 ‰
RAdioactive Dis-
chargesDatabase
16
Footprint
240h back
Footprint
72 h back
0 1 2 3 4 5 6 7 8 9 10 11 12 13
0
5
10
15
STILT
WRF
nucinfluenceD14
CO2[‰]
flask no.
Nuclear 14C contributions from WRF and STILT
analytical
14C uncertainty
17
ffCO2 uncertainty budget for different 14CO2-BGs
Upwind / downwind
approach
Uncertainties Regional BG
approach
2.3 ‰ Background estimate 4.3 ‰
2.3 ‰ Downwind measurement 2.3 ‰
all
both models
agree
0.5 ‰ Footprint 14Cnuc correction 4 ‰ 1 ‰
0.5 ‰ 14Cnuc emi strength (err. 100%) 2 ‰ 1 ‰
3.3 ‰ ~
1.2ppm ffCO2
Total
6.6 ‰ ~
2.4ppm ffCO2
5.1 ‰ ~
1.8ppm ffCO2
18
Up-/downwind vs. regional ffCO2 estimates
19
Up-/downwind vs. regional ffCO2 estimates
20
Up-/downwind vs. regional ffCO2 estimates
21
Up-/downwind vs. regional ffCO2 estimates
22
Summary
• Synergies with ICOS stations can be used to investigate emissions
from nearby urban areas.
• ffCO2 concentrations in the Rhine valley experiment range between
0 ppm and 10 ppm.
• ffCO2 uncertainties are about 1.2ppm in the up-/downwind approach
and 50% to 100% larger in the regional background approach.
23
Open questions…
• Which background measurement can be
used for 14CO2-based ffCO2 estimates?
• Does nuclear 14C contamination influence
this choice?
• Is the total CO2- offset a good proxy for
the fossil fuel CO2 enhancement?
FRE
HEI
SSL
@ 1100m NN
Photo:ChristophZinsius/UBA
CO2 emission
data provided
by TNO
24
-2 0 2 4 6 8 10 12 14
-2
0
2
4
6
8
10
12
ffCO2[ppm]
up-/downwindapproach
total CO2 difference [ppm] (down - upwind)
1:1
ffCO2 share on the total CO2 difference
slope = 1.09 ± 0.16
R² = 0.76
25
-2 0 2 4 6 8 10 12 14
-2
0
2
4
6
8
10
12
ffCO2[ppm]
up-/downwindapproach
total CO2 difference [ppm] (down - upwind)
1:1
ffCO2 share on the total CO2 difference
slope = 1.09 ± 0.16
R² = 0.76
26
-2 0 2 4 6 8 10 12 14
-2
0
2
4
6
8
10
12
ffCO2[ppm]
up-/downwindapproach
total CO2 difference [ppm] (down - upwind)
1:1
ffCO2 share on the total CO2 difference
slope = 1.09 ± 0.16
R² = 0.76
Bio
Fossil fuel
27
Summary
• Synergies with ICOS stations can be used to investigate emissions
from nearby urban areas.
• ffCO2 concentrations in the Rhine valley experiment range between
0 ppm and 10 ppm.
• ffCO2 uncertainties are about 1.2ppm in the up-/downwind approach
and 50% to 100% larger in the regional background approach.
• Strong correlation between the total CO2 and the ffCO2 offset across
the Rhine valley area.
28
Annual mean nuc 14C emissions:
WRF: - ERA-5 (0.25°)
- 2 km x 2 km
STILT: - ECMWF op. Analysis (0.25°)
- 10 km x 10 km
Is the modelled nuclear 14C correction reliable?
WRF: nuccorr= 21.4 ‰ STILT: nuccorr= 1.1 ‰
RAdioactive Dis-
chargesDatabase
29

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Estimating ffCO2 emissions using 14CO2 measurements

  • 1. Monitoring ffCO₂ emission hotspots using atmospheric ¹⁴CO₂ measurements 1 ICOS Central Radiocarbon Laboratory, Germany 2 IUP, Heidelberg University, Germany S. Hammer1,2, T. Kneuer2, F. Maier2, C. Rieß2, J. Della Coletta1, S. Preunkert1,3, I. Storm4, U. Karstens4 and I. Levin2 3 IGE, Université Grenoble Alpes, France 4 ICOS Carbon Portal, Sweden
  • 2. Estimating the fossil fuel CO2 concentration enhancement of an urban emission area • Lagrangian up- and downwindapproach • Use 14CO2 to separate ff and bio CO2 contributions Urban emission area 2
  • 3. Estimating the fossil fuel CO2 concentration enhancement of an urban emission area • Lagrangian up- and downwindapproach • Use 14CO2 to separate ff and bio CO2 contributions Upwind station Downwind station Urban emission area 3
  • 4. Estimating the fossil fuel CO2 concentration enhancement of an urban emission area • Lagrangian up- and downwindapproach • Use 14CO2 to separate ff and bio CO2 contributions Upwind station Downwind station Urban emission area • INFLUX was the pioneer for Lagrangian urban CO2 networks INFLUXexperiment Richardson, et al., Elem. Sci. Anth (2017). 4
  • 5. RINGO approach: • Investigate synergies with the ICOS atmosphere network to perform urban upwind and downwind measurements. (poor men's INFLUX). • Model supported sampling strategy to ensure the best possible approximation of Lagrangian conditions. FRE HEI CO2 emission data provided by TNO 5
  • 6. Open questions… • Which background measurement can be used for 14CO2-based ffCO2 estimates? • Does nuclear 14C contamination influence this choice? • Is the total CO2- offset a good proxy for the fossil fuel CO2 enhancement? FRE HEI SSL @ 1100m NN Photo:ChristophZinsius/UBA CO2 emission data provided by TNO 6
  • 7. 7 14CO2 observations in the Rhine valley
  • 8. 14CO2 observations in the Rhine valley 8 Assume you have 100 14CO2 samples, which sampling strategy will provide the better ffCO2 estimate during the dormant season?
  • 9. 14CO2 observations in the Rhine valley 9 Assume you have 100 14CO2 samples, which sampling strategy will provide the better ffCO2 estimate during the dormant season? Strategy A: up- / downwind approach I happily spend half of my samples to have a better estimate of the background conditions!
  • 10. 14CO2 observations in the Rhine valley 10 Assume you have 100 14CO2 samples, which sampling strategy will provide the better ffCO2 estimate during the dormant season? Strategy B: regional BG approach I accept a larger background uncertainty, but I get twice the downwind samples! Strategy A: up- / downwind approach I happily spend half of my samples to have a better estimate of the background conditions!
  • 11. 14CO2 observations in the Rhine valley 11
  • 12. 14CO2 observations – corrected for 14Cnuc 12
  • 13. 14CO2 observations – corrected for 14Cnuc • Std. dev. of upwind samples from the BG-fit: 4.3‰ during dormant season. • Average difference: 0.2 ‰. 13 Std. dev.: 4.3‰
  • 14. 14CO2 observations – corrected for 14Cnuc 14
  • 15. 14CO2 observations – corrected for 14Cnuc • magnitude of nuc. correction varies • nuc. correction largely inherent in the two-station approach 15
  • 16. Annual mean nuc 14C emissions: WRF: - ERA-5 (0.25°) - 2 km x 2 km STILT: - ECMWF op. Analysis (0.25°) - 10 km x 10 km Is the modelled nuclear 14C correction reliable? WRF: nuccorr= 0.6 ‰ STILT: nuccorr= 8.2 ‰ RAdioactive Dis- chargesDatabase 16 Footprint 240h back Footprint 72 h back
  • 17. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 0 5 10 15 STILT WRF nucinfluenceD14 CO2[‰] flask no. Nuclear 14C contributions from WRF and STILT analytical 14C uncertainty 17
  • 18. ffCO2 uncertainty budget for different 14CO2-BGs Upwind / downwind approach Uncertainties Regional BG approach 2.3 ‰ Background estimate 4.3 ‰ 2.3 ‰ Downwind measurement 2.3 ‰ all both models agree 0.5 ‰ Footprint 14Cnuc correction 4 ‰ 1 ‰ 0.5 ‰ 14Cnuc emi strength (err. 100%) 2 ‰ 1 ‰ 3.3 ‰ ~ 1.2ppm ffCO2 Total 6.6 ‰ ~ 2.4ppm ffCO2 5.1 ‰ ~ 1.8ppm ffCO2 18
  • 19. Up-/downwind vs. regional ffCO2 estimates 19
  • 20. Up-/downwind vs. regional ffCO2 estimates 20
  • 21. Up-/downwind vs. regional ffCO2 estimates 21
  • 22. Up-/downwind vs. regional ffCO2 estimates 22
  • 23. Summary • Synergies with ICOS stations can be used to investigate emissions from nearby urban areas. • ffCO2 concentrations in the Rhine valley experiment range between 0 ppm and 10 ppm. • ffCO2 uncertainties are about 1.2ppm in the up-/downwind approach and 50% to 100% larger in the regional background approach. 23
  • 24. Open questions… • Which background measurement can be used for 14CO2-based ffCO2 estimates? • Does nuclear 14C contamination influence this choice? • Is the total CO2- offset a good proxy for the fossil fuel CO2 enhancement? FRE HEI SSL @ 1100m NN Photo:ChristophZinsius/UBA CO2 emission data provided by TNO 24
  • 25. -2 0 2 4 6 8 10 12 14 -2 0 2 4 6 8 10 12 ffCO2[ppm] up-/downwindapproach total CO2 difference [ppm] (down - upwind) 1:1 ffCO2 share on the total CO2 difference slope = 1.09 ± 0.16 R² = 0.76 25
  • 26. -2 0 2 4 6 8 10 12 14 -2 0 2 4 6 8 10 12 ffCO2[ppm] up-/downwindapproach total CO2 difference [ppm] (down - upwind) 1:1 ffCO2 share on the total CO2 difference slope = 1.09 ± 0.16 R² = 0.76 26
  • 27. -2 0 2 4 6 8 10 12 14 -2 0 2 4 6 8 10 12 ffCO2[ppm] up-/downwindapproach total CO2 difference [ppm] (down - upwind) 1:1 ffCO2 share on the total CO2 difference slope = 1.09 ± 0.16 R² = 0.76 Bio Fossil fuel 27
  • 28. Summary • Synergies with ICOS stations can be used to investigate emissions from nearby urban areas. • ffCO2 concentrations in the Rhine valley experiment range between 0 ppm and 10 ppm. • ffCO2 uncertainties are about 1.2ppm in the up-/downwind approach and 50% to 100% larger in the regional background approach. • Strong correlation between the total CO2 and the ffCO2 offset across the Rhine valley area. 28
  • 29. Annual mean nuc 14C emissions: WRF: - ERA-5 (0.25°) - 2 km x 2 km STILT: - ECMWF op. Analysis (0.25°) - 10 km x 10 km Is the modelled nuclear 14C correction reliable? WRF: nuccorr= 21.4 ‰ STILT: nuccorr= 1.1 ‰ RAdioactive Dis- chargesDatabase 29