SASIP news
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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.
Simulation of sea ice floes in the marginal ice zone by S. Brenner and colleagues @ Brown University.
1D simulations of sea ice fracturing by JP Auclair @ISTERRE, Grenoble.
Julien Brajard will talk about super resolution of sea ice thickness
Sea ice numerical simulation with the NEMO-neXtSIM coupled ocean/sea-ice model by L. Brodeau (CNRS & Datlas) and S. Leroux (Datlas), in Grenoble.
The Institute of Computing for Climate Science Summer School will take place in Cambridge, UK, September 19th-23th 2022. Read more (...).
