The paper links hurricane rainfall predictions, landslide modeling, and socioeconomic data and reveals how tropical cyclone precipitation and associated landslide risk in Southern California could evolve as oceans and air temperatures rise.
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.
