Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire
oleh: Yan Yu, Jiafu Mao, Stan D. Wullschleger, Anping Chen, Xiaoying Shi, Yaoping Wang, Forrest M. Hoffman, Yulong Zhang, Eric Pierce
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-03-01 |
Deskripsi
A new study develops a machine learning framework to observationally constrain CMIP6-simulated fire carbon emissions, finding a weaker increase in 21st-century global fires but higher increase in their socioeconomic risks than previously thought.