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

Viewed

Total article views: 633 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
412 111 110 633 36 18 18
  • HTML: 412
  • PDF: 111
  • XML: 110
  • Total: 633
  • Supplement: 36
  • BibTeX: 18
  • EndNote: 18
Views and downloads (calculated since 27 Sep 2024)
Cumulative views and downloads (calculated since 27 Sep 2024)

Viewed (geographical distribution)

Total article views: 633 (including HTML, PDF, and XML) Thereof 569 with geography defined and 64 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 May 2025
Download
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.
Share