Probabilistic forecasts of Arctic sea ice extent with machine learning methods

Lauren Hoffman will give a seminar entitled "Probabilistic forecasts of Arctic sea ice extent with machine learning methods".

This seminar is organised by the ELI-C (Earth and Climate) division of the Earth and Life Institute.

Lauren Hoffman is a postdoctoral researcher at Earth and Life Institute, UCLouvain in Louvain-la-Neuve, Belgium. Her current research focuses on machine learning to study sea ice in the Arctic. She is currently applying machine learning techniques to predict and understand rapid sea ice loss as a part of the ArcticWATCH project. She's also using explainable AI (XAI) to understand changes in the drivers of variability of sea ice, with particular focus evolution of the relationship between wind speed and ice speed as Arctic ice diminishes in a warming climate.