학술논문
Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire
Document Type
article
Author
Source
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Subject
Language
English
ISSN
2041-1723
Abstract
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.