Pengfei Xue

Contact
- pexue@mtu.edu
- 906-487-1837
- GLRC 208
- Associate Director, Great Lakes Research Center
- Associate Professor, Civil, Environmental, and Geospatial Engineering
- Director, Numerical Geophysical Fluid Dynamics Laboratory, Great Lakes Research Center
- PhD, University of Massachusetts Intercampus Marine Science Graduate Program
- BS, Mathematics and Applied Mathematics, East China Normal University
Biography
Dr. Xue's research is centered around the development and application of numerical
models to hydrodynamic, climate, and environmental problems in the Great Lakes and
coastal oceans. His current research focuses on an integrated regional earth system
model (IRESM) for the Great Lakes region, consisting of coupled atmosphere, lake,
ice, wave, sediment, land surface, biological components with the inclusion of data
assimilation and machine learning techniques. By applying the IRESM to simulate and
analyze regional processes across a range of spatiotemporal scales, Dr. Xue and his
team, in collaboration with a wide range of scientists and experts, try to understand
and predict how the Great Lakes system responds to long- and short-term natural and
anthropogenic disturbances, such as climate variability, extreme events, and coastal
hazards, and other lake biophysical processes. Dr. Xue’s research has been supported
by NOAA, NASA, USGS, EPA, DOE, NSF, State of Michigan, and other private funding sources.
Dr. Xue's doctoral study in Oceanography at the University of Massachusetts Intercampus
Marine Science program, his post-doctoral work at the Massachusetts Institute of Technology,
as well as his current research also provided him with exposure to several marine
systems, including the Maritime Continent, the Persian/Arabian Gulf, the East China
Sea, the Changjiang Estuary, the Gulf of Maine, and Massachusetts Coastal Waters.
Dr. Xue holds a joint appointment – Scientist in the Environmental Science Division,
Argonne National Laboratory. His joint appointment with Argonne aims to build a more
comprehensive predictive understanding of coastal systems by applying IRESMs across
broader scales.
Links of Interest
Teaching Interests
- Introductory Geophysical Fluid Dynamics
- Hydrodynamic Modeling
- Water Resources Engineering
- Ecosystem Dynamics Modeling
Research Interests
- Hydrodynamic modeling
- Regional climate modeling
- Coupled ocean-atmosphere dynamics
- Data assimilation and machine learning
- Biophysical processes in the Great Lakes
- Estuary and coastal ocean processes