| Abstract: |
| Sea ice dynamics involve complex interactions across a wide range of scales, from individual floe collisions to large-scale coupled behaviour with the ocean and atmosphere. This talk presents a multiscale perspective on sea ice modelling and data assimilation, with an emphasis on connecting discrete floe-level dynamics to continuum descriptions suitable for larger-scale prediction and the corresponding sea ice rheology. After a brief introduction to the main features of sea ice and a short overview of major continuum approaches, I will introduce a multiscale modelling framework for sea ice floes and discuss how it captures essential physical mechanisms across scales. Building on this framework, I will then present a multiscale data assimilation approach designed to combine Lagrangian and Eulerian observational data in a coherent and flexible way. The talk will conclude with a brief discussion of ongoing efforts to incorporate machine learning tools into the assimilation pipeline, with the goal of improving predictive accuracy, robustness, and computational efficiency in sea ice modelling. |
|