Machine learning–based observation-constrained projections reveal elevated global socioeconomic risks from wildfire

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.