Articles | Volume 21, issue 18
https://doi.org/10.5194/bg-21-4195-2024
https://doi.org/10.5194/bg-21-4195-2024
Research article
 | 
26 Sep 2024
Research article |  | 26 Sep 2024

Future projections of Siberian wildfire and aerosol emissions

Reza Kusuma Nurrohman, Tomomichi Kato, Hideki Ninomiya, Lea Végh, Nicolas Delbart, Tatsuya Miyauchi, Hisashi Sato, Tomohiro Shiraishi, and Ryuichi Hirata

Model code and software

SEIB-DGVM with SPITFIRE Code Reza Kusuma Nurrohman https://doi.org/10.5281/zenodo.13131614

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Short summary
SPITFIRE (SPread and InTensity of FIRE) was integrated into a spatially explicit individual-based dynamic global vegetation model to improve the accuracy of depicting Siberian forest fire frequency, intensity, and extent. Fires showed increased greenhouse gas and aerosol emissions in 2006–2100 for Representative Concentration Pathways. This study contributes to understanding fire dynamics, land ecosystem–climate interactions, and global material cycles under the threat of escalating fires.
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