Dongzhe Jing
Papers
1
Total Citations
14
H-Index
1
About
Dongzhe Jing is a rising researcher in atmospheric science, specializing in aerosol–cloud interactions and the remote sensing of mineral dust. Her work focuses on reducing one of the largest uncertainties in climate modeling: how dust particles influence cloud formation and the global radiation budget. Jing is best known for developing POLIPHON conversion factors, a methodological framework that enables the retrieval of vertical profiles of dust-related cloud condensation nuclei (CCN) and ice-nucleating particles (INPs) at oceanic sites. Her most-cited paper (2023, 14 citations) provides critical tools for characterizing the three-dimensional distribution of these particles, directly improving how global circulation models represent aerosol–cloud interactions. By bridging the gap between lidar observations and cloud microphysics, Jing’s contributions are essential for more accurate climate predictions. Her work is particularly notable for its focus on remote oceanic environments, where in situ data are scarce. As an early-career scientist, she is already shaping the field’s understanding of dust’s role in cloud processes and climate forcing.
Research Focus
Key Achievements
Top Papers
- 1