Seasonal evolution of the Arctic sea ice thickness distribution
Abstract
The Thorndike et al., (\emph{J. Geophys. Res.} {\bf 80} 4501, 1975) theory of the ice thickness distribution, , treats the dynamic and thermodynamic aggregate properties of the ice pack in a novel and physically self-consistent manner. Therefore, it has provided the conceptual basis of the treatment of sea-ice thickness categories in climate models. The approach, however, is not mathematically closed due to the treatment of mechanical deformation using the redistribution function , the authors noting ``The present theory suffers from a burdensome and arbitrary redistribution function '' Toppaladoddi and Wettlaufer (\emph{Phys. Rev. Lett.} {\bf 115} 148501, 2015) showed how can be written in terms of , thereby solving the mathematical closure problem and writing the theory in terms of a Fokker-Planck equation, which they solved analytically to quantitatively reproduce the observed winter . Here, we extend this approach to include open water by formulating a new boundary condition for their Fokker-Planck equation, which is then coupled to the observationally consistent sea-ice growth model of Semtner (\emph{J. Phys. Oceanogr.} {\bf 6}(3), 379, 1976) to study the seasonal evolution of . We find that as the ice thins, transitions from a single- to a double-peaked distribution, which is in agreement with observations. To understand the cause of this transition, we construct a simpler description of the system using the equivalent Langevin equation formulation and solve the resulting stochastic ordinary differential equation numerically. Finally, we solve the Fokker-Planck equation for under different climatological conditions to study the evolution of the open-water fraction.
Keywords
Cite
@article{arxiv.2212.02131,
title = {Seasonal evolution of the Arctic sea ice thickness distribution},
author = {Srikanth Toppaladoddi and Woosok Moon and John S. Wettlaufer},
journal= {arXiv preprint arXiv:2212.02131},
year = {2023}
}
Comments
8 pages, 10 figures