New paper to explore the cloud's role in climate reversibility
Congratulations on Qi's first paper revealing different roles of cloud in regulating surface temperature reversibility over different latitudes using CESM2.
The honor is to recognize "the high commitment to editorial duties and outstanding editorial practice as Editor of Atmospheric Chemistry and Physics in 2025."
This work introduces a ML-based source apportionment model that leverages multiscale aerosol composition data to achieve near-real-time tracking and accurate quantification of PM2.5 sources. The findings support near-real-time source analysis and integration into policy.
