Seminar on "Modelling Arctic Sea Ice" with Prof. Deborah SULSKY, University of New Mexico

Prof. Deborah SULSKY, currently on campus as a guest professor, will present her work on "Modelling Arctic Sea Ice" in a seminar at 11.00 am on Tuesday 18 December 2018 in lecture theatre B9. Open to all!

On December 18, 2018 from 11:00 To 12:30

On December 18, 2018 from 11:00 To 12:30

Prof. Deborah SULSKY, Department of Mathematics and Statistics at the University of New Mexico, is on campus as a guest professor, at the invitation of the Modelling and Simulation Team, GeM Laboratory, from 13 to 19 December.  She will give a seminar based on her research work at 11.00 am on Tuesday 18 December 2018 in lecture theatre B9.

Modeling Arctic Sea Ice
Sea ice regulates heat, moisture and salinity in the polar oceans. In the winter, sea-ice insulates relatively warm ocean water from the colder air, except where cracks, or leads, allow heat and water vapor to escape from the ocean to the atmosphere. Motion of the ice pack is driven by the atmosphere and ocean. The ice pack is able to move and deform because of concentrated deformations at leads. An elastic-decohesive constitutive model for pack ice has been developed that explictly accounts for leads. The constitutive model is based on elasticity combined with a cohesive crack law that predicts the initiation, orientation and opening of leads.

A numerical technique called the material-point method (MPM) shows promise for treating material failure. MPM is based on a Lagrangian set of material points with associated mass, position, velocity, stress, and other material parameters, and a background mesh where the momentum equation is solved. This method avoids the convection errors associated with fully Eulerian methods as well as the mesh entanglement that can occur with fully Lagrangian methods under large deformations. Example calculations using the elastic-decohesive constitutive model are performed for regional and pan-Arctic domains.

Corresponding satellite observations are used to validate and calibrate the model.

Published on December 13, 2018 Updated on December 13, 2018