Investigations into the use of multi-species measurements for source apportionment of the Indianapolis fossil fuel CO2 signal

Brian Nathan, Thomas Lauvaux, Jocelyn Turnbull, Kevin Gurney

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Current bottom up estimates of CO2 emission fluxes are based on a mixture of direct and indirect flux estimates relying to varying degrees on regulatory or self-reported data. Hence, it is important to use additional, independent information to assess biases and lower the flux uncertainty. We explore the use of a self-organizing map (SOM) as a tool to use multi-species observations to partition fossil fuel CO2 (CO2ff) emissions by economic source sector. We use the Indianapolis Flux experiment (INFLUX) multi-species observations to provide constraints on the types of relationships we can expect to see, and show from the observations and existing knowledge of likely sources for these species that relationships do exist but can be complex. An Observing System Simulation Experiment (OSSE) is then created to test, in a pseudodata framework, the abilities and limitations of using an SOM to accurately attribute atmospheric tracers to their source sector. These tests are conducted for a variety of emission scenarios, and make use of the corresponding high-resolution footprints for the pseudo-measurements. We show here that the attribution of sector-specific emissions to measured trace gases cannot be addressed by investigating the atmospheric trace gas measurements alone. We conclude that additional a priori information such as inventories of sector-specific trace gases are required to evaluate sector-level emissions using atmospheric methods, to overcome the challenge of the spatial overlap of nearly every predefined source sector. Our OSSE additionally allows us to demonstrate that increasing the (already high) data density cannot solve the co-localization problem.

Original languageEnglish (US)
Article number21
JournalElementa
Volume6
DOIs
StatePublished - Jan 1 2018

Fingerprint

Fossil fuels
fossil fuel
trace gas
Fluxes
Self organizing maps
Gas fuel measurement
atmospheric gas
experiment
Experiments
bottom current
Gases
footprint
simulation
tracer
Economics
source apportionment
economics
test

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Environmental Engineering
  • Ecology
  • Geotechnical Engineering and Engineering Geology
  • Geology
  • Atmospheric Science

Cite this

Nathan, Brian ; Lauvaux, Thomas ; Turnbull, Jocelyn ; Gurney, Kevin. / Investigations into the use of multi-species measurements for source apportionment of the Indianapolis fossil fuel CO2 signal. In: Elementa. 2018 ; Vol. 6.
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Investigations into the use of multi-species measurements for source apportionment of the Indianapolis fossil fuel CO2 signal. / Nathan, Brian; Lauvaux, Thomas; Turnbull, Jocelyn; Gurney, Kevin.

In: Elementa, Vol. 6, 21, 01.01.2018.

Research output: Contribution to journalArticle

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