Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 9
Articles | Volume 18, issue 9
https://doi.org/10.5194/gmd-18-2509-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-2509-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 9
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: 3,513 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,031 328 154 3,513 111 84 167
  • HTML: 3,031
  • PDF: 328
  • XML: 154
  • Total: 3,513
  • Supplement: 111
  • BibTeX: 84
  • EndNote: 167
Views and downloads (calculated since 27 Sep 2024)
Cumulative views and downloads (calculated since 27 Sep 2024)

Viewed (geographical distribution)

Total article views: 3,513 (including HTML, PDF, and XML) Thereof 3,455 with geography defined and 58 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 09 Jan 2026
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.
Read more
Share