Atmospheric Chemistry & Global Change
University of Miami
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Welcome
Welcome
My name is Siyuan Wang, and I'm an Associate Professor at the Rosenstiel School at the University of Miami, and I'm the Principal Investigator of the Atmospheric Chemistry & Global Change Laboratory.
Our research focuses on understanding the chemical and physical processes in the atmosphere, and their broader impacts on air quality, weather, and climate. We use advanced numerical models and novel tools, including artificial intelligence/machine learning, in combination with observations such as satellite and airborne measurements. Our work spans a wide range of modeling approaches, from process‑level 0‑dimensional (box) and 1‑dimensional (column) models to regional and global chemical transport and chemistry–climate models.
This is a 3D rendering of a wildfire plume (interactive) simulated using a high resolution, turbulence-resolving model. You can rotate, zoom, slide, and explore the spatial features of the plume. Check Wang et al. (2021), Wang (2024) and see how we use this kind of model to study wildfires.
Current Research Foci
Current Research Foci
Wildfires: We use high resolution, turbulence-resolving models (e.g. Large Eddy Simulation, LES) and regional air quality models, combined with ambient observations (satellite, lidar, radar, airborne observations) to study the dynamical, chemical, and microphysical processes in wildfire plumes.
Aerosols: We are interested in improving the representation of aerosols in chemistry-climate models (e.g. Community Earth System Model, CESM), focusing on chemical composition and multiphase chemistry.
Atmospheric Chemistry and Air Quality: We use a variety of modeling tools, from process-leveled (e.g. 0-dimentional, 1-dimentional, multilayer aerosol model) to regional/global scale, to study the chemical and physical processes affecting air quality and climate system.
Artificial Intelligence/Machine Learning: We're interesting in using novel artificial intelligence/machine learning approaches to solve research questions that are otherwise challenging to tackle using conventional methods.
More details can be found in our Research and Publications.
I also develop idealized models from scratch for teaching and research. Detailed tutorials are here.
Online Presentations
Online Presentations
NOAA Climate Program Office: AI Application in Earth System and Climate Science (remote 18 Apr 2025)
NOAA CSL Seminar: Ocean Biogeochemistry Control on the Atmospheric Chemistry (Boulder CO, 3 Apr 2024)
AMS 2020: Oceanic emissions using machine-learning (Boston MA, 16 Jan 2020)
NCAR ACOM Seminar: Halogen chemistry in the Arctic (Boulder CO, 4 Mar 2019)
AMS 2019: Acetaldehyde in the remote troposphere (Phoenix AZ, 10 Jan 2019)
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