Pengfei Xue

Pengfei Xue

Contact

  • Associate Director, Great Lakes Research Center
  • 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 focuses on developing and applying numerical models to address hydrodynamic, climate, and environmental challenges in the Great Lakes and coastal oceans. His primary research centers on an integrated regional Earth system model (IRESM) for the Great Lakes, coupling atmospheric, lake, ice, wave, sediment, land surface, and biological components, enhanced by data assimilation and machine learning techniques. Dr. Xue's current work also involves advancing a coupled atmosphere-ocean-wave model to support offshore wind energy development along the U.S. East Coast.

During his doctoral studies in Oceanography at the University of Massachusetts’ Intercampus Marine Science Program and his postdoctoral work at the Massachusetts Institute of Technology (MIT), Dr. Xue developed or applied ocean and coupled ocean-atmosphere models for various marine systems, including the Maritime Continent, the Persian/Arabian Gulf, the East China Sea, the Changjiang Estuary, the Massachusetts Coastal Waters, and the Gulf of Maine.

Applying the IRESM to simulate and analyze regional processes across diverse spatial and temporal scales, Dr. Xue and his team, in collaboration with scientists and experts, seek to understand and predict the regional Earth system's response to natural and anthropogenic disturbances, such as climate variability, extreme events, and other lake biophysical processes. Dr. Xue’s research receives funding support from NOAA, DOE, NASA, USGS, EPA, NSF, the State of Michigan, and private sources. 

Dr. Xue holds a joint appointment as a Geophysical Scientist in the Environmental Science Division at Argonne National Laboratory, where he broadens the application of IRESMs to enhance predictive understanding of coastal systems on larger 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