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Seminars

AI4Climate Seminar: High-resolution canopy height and wood volume maps in France based on satellite remote sensing with a deep learning approach – Martin Schwartz, 27th of March 11:00 CET at Kayrros
AI4Climate seminar: Machine Learning for Climate Change and Environmental Sustainability – Claire Monteleoni – 6th of February 11:00CET
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

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Modélisation d’incertitudes affectant les modèles numériques complexes – Nicolas Bousquet 21/11/2018

Slides Availiable here.

Publié le 12 février 201931 mai 2019Auteur Patrick GallinariCatégories seminars, slides

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