Isotopic source signatures of stratospheric CO inferred from in situ vertical profiles

  • 0Centre for Isotope Research (CIO), Energy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, The Netherlands.
Npj Climate and Atmospheric Science +

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Summary

This summary is machine-generated.

Stratospheric carbon monoxide (CO) isotopes reveal distinct altitude trends. These CO isotopic signatures offer new insights into methane oxidation and CO production from CO2 photolysis, enhancing climate models.

Area Of Science

  • Atmospheric Chemistry
  • Isotope Geochemistry
  • Stratospheric Science

Background

  • The stratospheric carbon monoxide (CO) budget is influenced by methane (CH4) oxidation, hydroxyl radical (OH)-driven loss, and atmospheric transport.
  • While CO mole fractions are well-studied, its isotopic composition remains largely unexplored as a constraint for these processes.

Purpose Of The Study

  • To present novel stratospheric observations of carbon monoxide (CO) isotopes (δ13C-CO and δ18O-CO).
  • To analyze the altitude-dependent trends of these isotopes and their implications for stratospheric chemistry.
  • To explore the utility of CO isotopes as proxies for quantifying CO production pathways.

Main Methods

  • Novel vertical profile observations of δ13C-CO and δ18O-CO in the stratosphere.
  • Analysis of isotopic fractionation mechanisms related to methane oxidation and CO sinks.
  • Investigation of isotopic signatures from CO2 photolysis and ozone (O3) photolysis.

Main Results

  • δ13C-CO exhibits an inverse relationship with altitude, influenced by kinetic fractionation in the OH sink and 13C-depleted CO from CH4 oxidation.
  • δ18O-CO shows an increasing trend with altitude, driven by 18O-enriched oxygen from O(1D) and CO2 photolysis.
  • Distinct altitude-dependent trends in CO isotopic composition were observed.

Conclusions

  • CO isotopes serve as valuable proxies for quantifying CO production from CO2 photolysis.
  • Integrating CO isotopic data with mole fractions into global models improves assessments of the stratospheric CH4 sink and OH abundance.
  • Enhanced understanding of stratospheric processes impacts predictions of water vapor and its radiative effects.

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