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.
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.
GlacierStats software package
The complexity of ice sheets poses challenges to geostatistical modeling that cannot be addressed with existing software. As such, we are developing a Python geostatistics software package that is specifically designed for cryosphere applications: https://github.com/GatorGlaciology/GStat-Sim.
Marine sediment core analysis
Marine sediment cores are a rich source of information on ice sheet history and retreat mechanisms. However, these cores are few and far between. We are developing machine learning strategies for interpolating sediment cores using geophysical constraints.