Publications
New paper by Laurent Brodeau, Pierre Rampal, Véronique Dansereau et Einar Olason
New preprint by Tobias Sebastian finn et al.
New Article by J. Charlton-Perez, F. Dacre, Driscoll et al.
New Article by Charlotte Durand et al.
New Article by Anna Lo Piccolo et al.
New Article by Simon Driscoll et al.
New preprint by Jendersie et al.
New Article by Higgs, Carassi et al.
New paper by C.Hell and Horvat
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
The neXtSIM-DG dynamical core: A Framework for Higher-order Finite Element Sea Ice Modeling.
Deep learning of subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell-Elasto-Brittle rheology.
Supervised machine learning to estimate instabilities in chaotic systems: estimation of local Lyapunov exponents.
Novel Arctic sea ice data assimilation combining ensemble Kalman filter with a Lagrangian sea ice model.
A New Brittle Rheology and Numerical Framework for Large-Scale Sea-Ice Models.
Modelling the Arctic Wave-Affected Marginal Ice Zone: A Comparison with ICESat-2 Observations.
A Continuum Viscous-Elastic-Brittle, Finite Element DG Model for the Fracture and Drift of Sea Ice
Marginal ice zone fraction benchmarks sea ice and climate model skill (Nature Communications).
