Phd candidate

Timothée Lebrat

Victoria University of Wellington
Supervisors: Nick Golledge and Peter Siew

Ice sheets are indicators of global temperature changes and the main contributors to sea-level rise. Accurate modeling of the Surface Mass Balance (the interplay between accumulation and ablation processes) is required to understand their evolution. Timothée’s PhD thesis aims to focus on developing machine learning models to enhance the accuracy and efficiency of SMB calculations for ice sheets. By integrating satellite observations, climate reanalysis data, and physical principles into a neural network approach, this research aims to capture the spatial and temporal variability of SMB.