Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4967070 | Journal of Computational Physics | 2017 | 13 Pages |
Abstract
We present a parallel implementation framework for a new dynamic/thermodynamic sea-ice model, called neXtSIM, based on the Elasto-Brittle rheology and using an adaptive mesh. The spatial discretisation of the model is done using the finite-element method. The temporal discretisation is semi-implicit and the advection is achieved using either a pure Lagrangian scheme or an Arbitrary Lagrangian Eulerian scheme (ALE). The parallel implementation presented here focuses on the distributed-memory approach using the message-passing library MPI. The efficiency and the scalability of the parallel algorithms are illustrated by the numerical experiments performed using up to 500 processor cores of a cluster computing system. The performance obtained by the proposed parallel implementation of the neXtSIM code is shown being sufficient to perform simulations for state-of-the-art sea ice forecasting and geophysical process studies over geographical domain of several millions squared kilometers like the Arctic region.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Abdoulaye Samaké, Pierre Rampal, Sylvain Bouillon, Einar Ãlason,