Sea Ice Multiscale Modeling and Data Assimilation

This talk will focus on sea ice modelling and data assimilation, primarily drawn from our two recent research papers “Particle-Continuum Multiscale Modeling of Sea Ice Floes” and “LEMDA: A Lagrangian-Eulerian Multiscale Data Assimilation Framework”. These works serve as the cornerstone of our discussion, highlighting the complexities of sea ice dynamics across multiple scales and model coupling with such as ocean dynamics. I will start by presenting some quick facts about Arctic and Antarctic sea ice floes followed by a quick overview of the major sea ice continuum and particle models. Then I will introduce our multiscale model and present a data assimilation framework based on this multiscale model. I will close the talk by briefly discussing our current endeavours in integrating machine learning tools into the data assimilation process within the context of multiscale sea ice modelling. This is based on joint work with Nan Chen, Sam Stechmann, and Jiuhua Hu (all from UW-Madison).