Articles | Volume 18, issue 9
https://doi.org/10.5194/gmd-18-2509-2025
https://doi.org/10.5194/gmd-18-2509-2025
Model description paper
 | 
06 May 2025
Model description paper |  | 06 May 2025

China Wildfire Emission Dataset (ChinaWED v1) for the period 2012–2022

Zhengyang Lin, Ling Huang, Hanqin Tian, Anping Chen, and Xuhui Wang

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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 gmd-2024-170', Anonymous Referee #1, 22 Oct 2024
  • CC1: 'Comment on gmd-2024-170', Chao Yue, 15 Dec 2024
  • RC2: 'Comment on gmd-2024-170', Chao Yue, 15 Dec 2024
  • AC1: 'Comment on gmd-2024-170', X. Wang, 16 Jan 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by X. Wang on behalf of the Authors (16 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Jan 2025) by Yilong Wang
RR by Anonymous Referee #2 (22 Jan 2025)
ED: Publish as is (30 Jan 2025) by Yilong Wang
AR by X. Wang on behalf of the Authors (19 Feb 2025)  Manuscript 
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Short summary
The China Wildfire Emission Dataset (ChinaWED v1) estimated wildfire emissions in China during 2012–2022 as 78.13 Tg CO2, 279.47 Gg CH4, and 6.26 Gg N2O annually. Agricultural fires dominated emissions, while forest and grassland emissions decreased. Seasonal peaks occurred in late spring, with hotspots in northeast, southwest, and east China. The model emphasizes the importance of using localized emission factors and high-resolution fire estimates for accurate assessments.
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