top of page

Research

Geostatistical simulation of subglacial topography

 

The topography beneath glaciers controls the flow of ice and subglacial water. Traditional approaches for estimating the topography produce topography that is unrealistically smooth, which can bias ice sheet models. We use geostatistical methods to stochastically simulate realistically rough topography. Ongoing research includes the development of geostatistical methods and their application in Greenland and Antarctica.

​

​

Screen Shot 2021-09-07 at 4.47.40 PM.png

Geophysical data analysis and interpretation

​

Geophysical tools such as ice-penetrating radar, seismology, and satellite altimetry provide valuable information on ice sheet conditions. We analyze this data to characterize the subglacial topography, hydrology, and geology.

​

​

30_0002626_0002650-reel_begin_end_lowqual.jpeg

GStatSim​ software package

​

We are continuously working to create open-access Python tools for performing geostatistical interpolation and simulation. Check out our Jupyter Book tutorials here: https://gatorglaciology.github.io/gstatsimbook/intro.html.

​

​

Screen Shot 2023-05-15 at 11.35.12 AM.png

Geophysical inversion​

​

We combine geostatistics and stochastic modeling with geophysical modeling to perform inversions with a Markov Chain Monte Carlo approach. We are applying these methods to gravity inversions for sub-ice-shelf topography and mass conservation inversions for subglacial topography.

​

bottom of page