11 citations · 15 across the 12 of their papers we have counts for
3 papers · 1 filter
Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble
Marc Bocquet, Alban Farchi, Tobias S. Finn +5
We investigate the ability to discover data assimilation (DA) schemes meant for chaotic dynamics with deep learning. The focus is on learning the analysis step of sequential DA, fr…
Towards diffusion models for large-scale sea-ice modelling
Tobias Sebastian Finn, Charlotte Durand, Alban Farchi +2
We make the first steps towards diffusion models for unconditional generation of multivariate and Arctic-wide sea-ice states. While targeting to reduce the computational costs by d…
Development of an offline and online hybrid model for the Integrated Forecasting System
Alban Farchi, Marcin Chrust, Marc Bocquet +1
In recent years, there has been significant progress in the development of fully data-driven global numerical weather prediction models. These machine learning weather prediction m…