About

Our group applies data driven methods to understand air pollutants, greenhouse gases, and their interactions with the climate and society. Projects in our group typically involve some combination of atmospheric chemistry modeling, satellite and in-situ observations, Bayesian statistics, data assimilation, and machine learning.

Our research aims to answer challenging environmental questions such as:

How to effectively trace greenhouse gas emissions and carbon neutral progress?
How do greenhouse gases and climate interact with each other?
What are the sources, distributions, and evolutions of major air pollutants (O3, PM2.5, NOx, SO2, CO, etc.)?

News

2024

A review article led by Dr. Drew Shindell on The Methane Imperative is published. Dr. Qu is a contributing author. Check out Policy Outlook and news release.

2023

Congratulations to Josh Kumm for getting the EPA ORISE Fellowship to work with our EPA colleagues on estimating NOx emissions.

Welcome to Dr. Kai Fan and Dr. Nana Wu who joins our research team.