Welcome to Georgia Tech's

Polar Geophysical Simulation Lab

Combining polar geophysics methods & model simulations to understand glacier & ice sheet dynamics

About Us

The Polar Geophysical Simulation Lab (PGSL) at Georgia Tech combines geophysics, machine learning, and numerical modeling to study polar ice sheets and glaciers.

We focus on:

  • Deploying geophysical surveys to study ice sheet internal structures and basal conditions in Greenland and Antarctica.
  • Using machine learning to uncover relationships in geophysical data
  • Improving ice sheet models by incorporating insights from machine learning and geophysical data

Our goal is to advance understanding of polar ice sheets and their response to climate change.

Research Themes

Glacier Hydrology Exploring how water flows through and beneath glaciers, shaping their behavior and stability. We conduct geophysical fieldwork to investigate the impact of meltwater on glacier dynamics. Read More
Ice-Ocean Interactions Investigating the complex interactions between ice shelves and the ocean. This work is crucial for understanding ice shelf stability in a warming climate. Read More
AI-Enhanced Radar Analysis Applying artificial intelligence to enhance ice sheet radar data analysis. Our AI-driven approaches aim to overcome limitations of traditional radar simulation methods. Read More
Ice Sheet Thermal Dynamics Mapping and modeling basal thermal properties of Antarctic ice sheets to understand their crucial role in ice rheology and flow dynamics. We integrate radar observations with large-scale ice sheet models to improve predictions of ice behavior. Read More