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Understanding the dynamic of sea ice is of major importance in a global warming context. In particular, the observed drastic withdrawal and thinning of Arctic sea ice has major environmental consequences as well as consequences on the ice dynamical regime itself. The aim of the project is to enhance the computational capabilities of a sea ice dynamic model by leveraging mesh adaptation methods. It involves a team of mathematicians from Bordeaux and a team of geophysicists from Grenoble.

The role of the postdoc will be to study theoretical, algorithmic and parallel implementation aspects of anisotropic mesh adaptation in neXtSIM. The main identified tasks are :

  • Study error estimates for sea ice dynamics. The litterature contains many numerical error estimates to drive mesh adaptation in more or less specific contexts. Existing error models will have to be benchmarked, and a novel estimate derived if need be.
  • Design and implement a mesh adaption algorithm in neXtSIM. This includes the development of a parallel version of remshing software MMG2D. MMG is an open-source remeshing software suite supported by an industrial consortium hosted at Inria. The 3D version is already parallelised and will be used as a basis for the parallelisation of the 2D code. This involves software development in C/C++ using MPI.
  • Demonstrate the efficiency of the approach by running large scale simulations.

To apply: https://recrutement.inria.fr/public/classic/en/offres/2023-06949