My research focuses on aerosol-cloud interactions and their impacts on cloud properties and climate. I use ground-based measurements, aircraft and satellite observations together with machine learning to disentangle aerosol effects from meteorological influences and investigate aerosol-cloud relationships across different environmental regimes. I am particularly interested in using AI approaches, integrating multi-platform observations to improve our understanding of aerosol-cloud processes and their representation in climate studies.

Publications

• Zhou, S., Zhang, H., Li, Z., & Rosenfeld, D. (Under review). Use of an Explainable Machine Learning Model to Disentangle Aerosol–Cloud Interactions for Warm Clouds at Multiple ARM Sites. Journal of Geophysical Research: Atmospheres.
• Lin, Y., Takano, Y., Gu, Y., Wang, Y., Zhou, S., Zhang, T., Zhu, K., Wang, J., Zhao, B., Chen, G., Zhang, D., Fu, R., & Seinfeld, J. (2023). Characterization of the aerosol vertical distributions and their impacts on warm clouds based on multi-year ARM observations. Science of the Total Environment, 904, 166582.

Conference Presentations

• Zhou, S., Zhang, H., Li, Z., & Rosenfeld, D. Use of an Explainable Machine Learning Model to Disentangle Aerosol–Cloud Interactions for Warm Clouds at Multiple ARM Sites. Oral presentations at AGU 2025, AMS 2026, and the 2026 Joint ARM User Facility and Atmospheric System Research (ASR) PI Meeting.
• Zhou, S. et al. Characterization of Aerosol-Type Dependent Vertical Distributions in Relation to Convective Cloud Using Long-Term A-Train Satellite Observations. Oral presentation, AMS 2024.

Hobbies

• Swimming
• Hiking
• Violin
• Traveling