Seminars

Variational data assimilation with deep prior – Arthur Filoche
Eddy Detecting Neural Networks: harnessing visible satellite imagery and altimetry for operational oceanography – Evangelos Moschos
Towards the combination of physical and data-driven forecasts for Earth system prediction – Eviatar Bach (ENS Paris)
What is the cost? Calculating the environmental impact of scientific calculus – Anne-Laure Ligozat
New ways for dynamical prediction of extreme heat waves: rare event simulations and machine learning with deep neural networks. – Freddy Bouchet (ENS Lyon)
Climate Modeling in the Age of Machine Learning – Laure Zanna (NYU)
Filling gaps in ocean satellite data -Aida Alvera-Azcárate & Alexander Barth
Narrowing uncertainties of climate projections using data science tools? -Pierre Tandeo
Machine learning and natural hazards – Sophie Giffard-Roisin
Power-efficient deep learning algorithms – Sébastien Loustau

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The Machine learning for Earth System modelling workshop will be held at the EGU meeting next April.