Yuan Wang
Yuan Wang
Assistant Professor
Stanford University
Earth System Science
Stanford
CA
94304
Email
Website
Fields of interest
Yuan Wang's research group aims to advance the understanding of the physical and chemical interactions between atmospheric constituents and climate change. Specifically, his group conducts research related to aerosol-cloud-precipitation interactions and their climatic implications, air pollution and haze formation, cloud microphysics and dynamics, and the assessment of the greenhouse gas and aerosol forcings on the atmosphere, ocean, and cryosphere. They develop and use multiscale Earth system models and machine learning methods in combination with space-borne and in situ measurements to address those scientific questions.
Description of scientific projects
1) Climate response to aerosol and GHG forcings
We employ the state-of-the-art Earth system models (e.g. MPAS, CESM) as well as long-term climate records (satellite products, reanalysis data) to understand the physical pathways for aerosol and GHG effects on regional and global climate and project their future responses. Foci are put on the high impact climate extremes.
2) Aerosol-cloud-radiation interactions
To obtain processes-level understanding of aerosol-cloud-radiation interaction, we conduct cloud-resolving and large-eddy simulations of warm boundary-layer clouds as well as deep convective clouds. In situ and remote sensing observations are used to provide observations constrains and guidance for our numerical model simulations.
3) Air pollution formation and transformation
We aim to disentangle the complex chemical and physical processes during the air pollution development from either anthropogenic sources or wildfires. Numerical simulations as well as machine learning models are employed to characterize PM and trace gases and to assess their environmental impacts.
4) Cloud, precipitation, and water vapor
Cloud micro- and macro- physics play a pivotal role in weather and climate systems. We aim to contribute to the development of next generation of cloud and precipitation physics schemes. Observations from different platforms are used to constrain those schemes in weather prediction and climate models.
We employ the state-of-the-art Earth system models (e.g. MPAS, CESM) as well as long-term climate records (satellite products, reanalysis data) to understand the physical pathways for aerosol and GHG effects on regional and global climate and project their future responses. Foci are put on the high impact climate extremes.
2) Aerosol-cloud-radiation interactions
To obtain processes-level understanding of aerosol-cloud-radiation interaction, we conduct cloud-resolving and large-eddy simulations of warm boundary-layer clouds as well as deep convective clouds. In situ and remote sensing observations are used to provide observations constrains and guidance for our numerical model simulations.
3) Air pollution formation and transformation
We aim to disentangle the complex chemical and physical processes during the air pollution development from either anthropogenic sources or wildfires. Numerical simulations as well as machine learning models are employed to characterize PM and trace gases and to assess their environmental impacts.
4) Cloud, precipitation, and water vapor
Cloud micro- and macro- physics play a pivotal role in weather and climate systems. We aim to contribute to the development of next generation of cloud and precipitation physics schemes. Observations from different platforms are used to constrain those schemes in weather prediction and climate models.