Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-1121-2025
https://doi.org/10.5194/essd-17-1121-2025
Data description paper
 | 
18 Mar 2025
Data description paper |  | 18 Mar 2025

Global greenhouse gas reconciliation 2022

Zhu Deng, Philippe Ciais, Liting Hu, Adrien Martinez, Marielle Saunois, Rona L. Thompson, Kushal Tibrewal, Wouter Peters, Brendan Byrne, Giacomo Grassi, Paul I. Palmer, Ingrid T. Luijkx, Zhu Liu, Junjie Liu, Xuekun Fang, Tengjiao Wang, Hanqin Tian, Katsumasa Tanaka, Ana Bastos, Stephen Sitch, Benjamin Poulter, Clément Albergel, Aki Tsuruta, Shamil Maksyutov, Rajesh Janardanan, Yosuke Niwa, Bo Zheng, Joël Thanwerdas, Dmitry Belikov, Arjo Segers, and Frédéric Chevallier

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-103', Christian DiMaria, 29 Jul 2024
    • AC1: 'Reply on RC1', Zhu Deng, 03 Oct 2024
  • RC2: 'Comment on essd-2024-103', Anonymous Referee #2, 06 Sep 2024
    • AC2: 'Reply on RC2', Zhu Deng, 03 Oct 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Zhu Deng on behalf of the Authors (14 Oct 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (08 Jan 2025) by Francesco N. Tubiello
AR by Zhu Deng on behalf of the Authors (09 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 Jan 2025) by Francesco N. Tubiello
AR by Zhu Deng on behalf of the Authors (13 Jan 2025)  Manuscript 
Short summary
This study reconciles national greenhouse gas (GHG) inventories with updated atmospheric inversion results to evaluate discrepancies for three principal GHG fluxes at the national level. Compared to our previous study, new satellite-based CO2 inversions were included and an updated mask of managed lands was used, improving agreement for Brazil and Canada. The proposed methodology can be regularly applied as a check to assess the gap between top-down inversions and bottom-up inventories.
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