Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6457-2023
https://doi.org/10.5194/acp-23-6457-2023
Research article
 | 
13 Jun 2023
Research article |  | 13 Jun 2023

Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019

Sophie Wittig, Antoine Berchet, Isabelle Pison, Marielle Saunois, Joël Thanwerdas, Adrien Martinez, Jean-Daniel Paris, Toshinobu Machida, Motoki Sasakawa, Douglas E. J. Worthy, Xin Lan, Rona L. Thompson, Espen Sollum, and Mikhail Arshinov

Data sets

Supplemental data of the Global Carbon Project Methane Budget 2019 (Version 2.0) M. Saunois, A. R. Stavert, B. Poulter, P. Bousquet, J. G. Canadell, R. B. Jackson, P. A. Raymond, E. J. Dlugokencky, S. Houweling, P. K. Patra, P. Ciais, V. K. Arora, D. Bastviken, P. Bergamaschi, D. R. Blake, G. Brailsford, L. Bruhwiler, K. M. Carlson, M. Carrol, Q. Zhuang et al. https://doi.org/10.18160/GCP-CH4-2019

Model code and software

The Community Inversion Framework: codes and documentation Antoine Berchet, Espen Sollum, Isabelle Pison, Rona L. Thompson, Joël Thanwerdas, Audrey Fortems-Cheiney, Jacob C. A. van Peet, Elise Potier, Frédéric Chevallier, Grégoire Broquet, and Adrien Berchet https://doi.org/10.5281/zenodo.5045730

Short summary
Here, an inverse modelling approach is applied to estimate CH4 sources and sinks in the Arctic from 2008 to 2019. We study the magnitude, seasonal patterns and trends from different sources during recent years. We also assess how the current observation network helps to constrain fluxes. We find that constraints are only significant for North America and, to a lesser extent, West Siberia, where the observation network is relatively dense. We find no clear trend over the period of inversion.
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