Min Chen (University of Wisconsin, Madison)
Wetlands, though covering only a small fraction of the Earth’s surface, act as the planet’s largest natural source of methane, a major greenhouse gas and reactive chemical compound that contributes to global climate change and atmospheric chemistry. Quantifying wetland methane emission has been a big challenge. In this talk, I will discuss some of our efforts on bottom-up wetland methane flux modeling, from process-based to machine learning approach.
Min Chen is a professor in the Global Change Research laboratory at the University of Wisconsin, Madison. After receiving his PhD from Purdue in Earth and Atmospheric Sciences, he conducted his postdoctoral research in the Department of Organismic and Evolutionary Biology at Harvard and in the Department of Global Ecology at Stanford. Professor Chen's expertise centers around terrestrial ecosystem/land surface modeling, remote sensing theory and applications, and human-earth system interactions.
ESE Colloquium Series