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AI for Climate

AI for Climate

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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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News

  • The Machine learning for Earth System modelling workshop will be held at the EGU meeting next April.
  • A workshop on AI and Ocean/Atmosphere/Climate will be held in Rennes on Februray 6th, 2019.

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