Sea ice modelling #
Organisers: Brian Wetton
Minisymposium abstract
Sea Ice has mathematical challenges on a wide range of time and space scales with important applications in biology and climate science. At small scales, there is a need to understand the impact of entropy and externally imposed thermal gradients on the shape of brine inclusions in first-year sea ice. There are computational issues to be resolved for intermediate scales of ice formation including the dynamics of mushy layers. At large scales, statistical and machine learning techniques can be used to model sea ice thickness and distribution. Homogenization of small scale structures to large scale behaviour and the inverse problem of inferring small scale behaviour from large scale data is of interest. The session will start with an overview talk.
From Micro to Macro in Sea Ice Modelling #
Kenneth M Golden
13:30 Tuesday in 2Q42.
Partial Differential Equation Models and Deep Learning for the Sea Ice Concentration Field #
Delaney Mosier
14:10 Tuesday in 2Q42.
Seasonal evolution of the Arctic sea ice thickness distribution #
Srikanth Toppaladoddi, Woosok Moon, John S Wettlaufer
14:30 Tuesday in 2Q42.
A computational model of the freezing of salt water #
Brian Wetton
14:50 Tuesday in 2Q42.
Dynamics of Brine Inclusions in First Year Sea Ice #
Keith Promislow, Noa Kraitzman, Yuan Chen, Brian Wetton
15:10 Tuesday in 2Q42.