Abstract
This study investigates atmospheric (Formula presented.) CH (Formula presented.) trends, as produced by a global atmospheric transport model using CH (Formula presented.) inversions from CarbonTracker-Europe CH (Formula presented.) for 2000–2020, and compares them to observations. The CH (Formula presented.) inversions include the grouping of the emissions both by (Formula presented.) CH (Formula presented.) isotopic signatures and process type to investigate the effect, and to estimate the CH (Formula presented.) magnitudes and model CH (Formula presented.) and (Formula presented.) CH (Formula presented.) trends. In addition to inversion results, simulations of the global atmospheric transport model were performed with modified emissions. The estimated global CH (Formula presented.) 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 (Formula presented.) N–60 (Formula presented.) N are less than 50% of those from priors. Estimated global CH (Formula presented.) rice emissions trends are opposite to priors, with the largest contribution from the EQ to 60 (Formula presented.) N. The results of this study indicate that optimizing wetland emissions separately produces better agreement with the observed (Formula presented.) CH (Formula presented.) 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.
Original language | English |
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Article number | 1121 |
Pages (from-to) | 1-22 |
Number of pages | 22 |
Journal | Atmosphere |
Volume | 14 |
Issue number | 7 |
Early online date | 6 Jul 2023 |
DOIs | |
Publication status | Published - Jul 2023 |
Bibliographical note
This article belongs to the Special Issue: Novel Techniques for Measuring Greenhouse Gases (2nd Edition).Funding Information:
We would like to thank Magnus Ehrnrooth Foundation, Academy of Finland (307331 UPFORMET), and EU-H2020 VERIFY. The VERIFY project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 776810. Maarten Krol is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 742798.
Publisher Copyright:
© 2023 by the authors.
Funding
We would like to thank Magnus Ehrnrooth Foundation, Academy of Finland (307331 UPFORMET), and EU-H2020 VERIFY. The VERIFY project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 776810. Maarten Krol is supported by funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 742798.
Funders | Funder number |
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Horizon 2020 Framework Programme | 776810 |
Horizon 2020 Framework Programme | |
European Research Council | 742798 |
European Research Council | |
Academy of Finland | 307331 UPFORMET, EU-H2020 |
Academy of Finland | |
Magnus Ehrnroothin Säätiö |
Keywords
- atmospheric modelling
- isotopes
- methane