Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions

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  • Mannisenaho, Vilma
    • Other Affiliation: Finnish Meteorological Institute
  • Tsuruta, Aki
    • Other Affiliation: Finnish Meteorological Institute
  • Backman, Leif
    • Other Affiliation: Finnish Meteorological Institute
  • Houweling, Sander
    • Other Affiliation: Vrije Universiteit Amsterdam
  • Segers, Arjo
    • Other Affiliation: Netherlands Organisation for Applied Scientific Research
  • Krol, Maarten
    • Other Affiliation: Utrecht University
  • Saunois, Marielle
    • Other Affiliation: MCF–Université de Versailles Saint-Quentin
  • Poulter, Benjamin
    • Other Affiliation: NASA Goddard Space Flight Center
  • Zhang, Zhen
    • Other Affiliation: University of Maryland
  • Lan, Xin
    • Other Affiliation: NOAA Global Monitoring Laboratory
  • Dlugokencky, Edward J.
    • Other Affiliation: NOAA Global Monitoring Laboratory
  • Michel, Sylvia
    • Other Affiliation: University of Colorado
  • White, James W. C.
  • Aalto, Tuula
    • Other Affiliation: Finnish Meteorological Institute
Abstract
  • This study investigates atmospheric δ13CH4 trends, as produced by a global atmospheric transport model using CH4 inversions from CarbonTracker-Europe CH4 for 2000–2020, and compares them to observations. The CH4 inversions include the grouping of the emissions both by δ13CH4 isotopic signatures and process type to investigate the effect, and to estimate the CH4 magnitudes and model CH4 and δ13CH4 trends. In addition to inversion results, simulations of the global atmospheric transport model were performed with modified emissions. The estimated global CH4 trends for oil and gas were found to increase more than coal compared to the priors from 2000–2006 to 2007–2020. Estimated trends for coal emissions at 30∘ N–60∘ N are less than 50% of those from priors. Estimated global CH4 rice emissions trends are opposite to priors, with the largest contribution from the EQ to 60∘ N. The results of this study indicate that optimizing wetland emissions separately produces better agreement with the observed δ13CH4 trend than optimizing all biogenic emissions simultaneously. This study recommends optimizing separately biogenic emissions with similar isotopic signature to wetland emissions. In addition, this study suggests that fossil-based emissions were overestimated by 9% after 2012 and biogenic emissions are underestimated by 8% in the inversion using EDGAR v6.0 as priors.
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  • Article
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  • In Copyright
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  • Attribution 4.0 International
Journal title
  • Atmosphere
Journal volume
  • 14
Journal issue
  • 7
Page start
  • 1121
Language
  • English
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ISSN
  • 2073-4433
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  • MDPI

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