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Extreme events and precursors in climate dynamics: sampling using machine learning and rare event algorithms

By Freddy Bouchet

Many key problems in climate dynamics require a huge computational effort. For instance, the study of extreme or rare events, the study of precursors, or the probabilistic prediction at the predictability margin, are three examples for which the computation of the relevant statistical quantities is impossible with reasonable computation resources, in comprehensive climate models. I will present several examples of new approaches we have developed, for instance using rare event algorithms and machine learning, for which we have solved these computational bottlenecks using concepts from statistical mechanics and dynamical systems. I will discuss applications to the study of extreme heat waves or for the prediction of El Nino.

Information about the video

  • Date of recording 07/10/2019
  • Date of publication 18/12/2019
  • Institution IHP
  • Language English
  • Format MP4
  • Venue Institut Henri Poincaré

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