English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Sea ice profoundly influences the polar environment and the global climate.Traditionally, Sea ice has been modeled as a continuum under Euleriancoordinates to describe its large-scale features, using, for instance,viscous-plastic rheology. Recently, Lagrangian particle models, also known asthe discrete element method (DEM) models, have been utilized for characterizingthe motion of individual sea ice fragments (called floes) at scales of 10 kmand smaller, especially in marginal ice zones. This paper develops a multiscalemodel that couples the particle and the continuum systems to facilitate aneffective representation of the dynamical and statistical features of sea iceacross different scales. The multiscale model exploits a Boltzmann-type systemthat links the particle movement with the continuum equations. For thesmall-scale dynamics, it describes the motion of each sea ice floe. Then, asthe large-scale continuum component, it treats the statistical moments of massdensity and linear and angular velocities. The evolution of these statisticsaffects the motion of individual floes, which in turn provides bulk feedbackthat adjusts the large-scale dynamics. Notably, the particle modelcharacterizing the sea ice floes is localized and fully parallelized, in aframework that is sometimes called superparameterization, which significantlyimproves computation efficiency. Numerical examples demonstrate the effectiveperformance of the multiscale model. Additionally, the study demonstrates thatthe multiscale model has a linear-order approximation to the truth model.

Particle-Continuum Multiscale Modeling of Sea Ice Floes