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Liquid Matter
Statistical physics for climate sciences | Freddy Bouchet
Application to wave turbulence, extreme heat waves, and extremes of renewable energy production
Topic: Liquid matter in energy, environmental and climate science
Speaker: Prof. Freddy Bouchet, Laboratoire de Météorologie Dynamique, Département de Géosciences de l‘ENS, Paris, France
Climate changes impacts, its mitigation, and adaptation will change deeply many aspects of our society. Physicists can contribute decisively to the related science. Indeed, the theoretical aspects of climate sciences are a new and highly multidisciplinary field, with contributions from statis-tical physics, mathematics, data and computer sciences, as well as hydro-dynamics and turbulence. Research In this field are performed at the forefront of many contemporary subjects connected to statistical physics: effective dynamics, inference of stochastic processes, of causality relations, their connection with machine learning, large deviation theory, to cite just of few examples.
In this talk I will discuss several examples where statistical physics and large deviation theory can be useful to solve fundamental problems for climate dynamics. The first example will be the kinetic theory of wave turbulence. Wave turbulence plays an important role for atmosphere/ocean physical exchanges and for mixing of the ocean interior. I will explain how large deviation theory allows to extend this classical theory to compute effects of typical and rare spontaneous fluctuations.
Livestream der Plenar-Vorträge der 12. Liquid Matter Conference in Mainz vom 22. - 27. September 2024
Topic: Liquid matter in energy, environmental and climate science
Speaker: Prof. Freddy Bouchet, Laboratoire de Météorologie Dynamique, Département de Géosciences de l‘ENS, Paris, France
Climate changes impacts, its mitigation, and adaptation will change deeply many aspects of our society. Physicists can contribute decisively to the related science. Indeed, the theoretical aspects of climate sciences are a new and highly multidisciplinary field, with contributions from statis-tical physics, mathematics, data and computer sciences, as well as hydro-dynamics and turbulence. Research In this field are performed at the forefront of many contemporary subjects connected to statistical physics: effective dynamics, inference of stochastic processes, of causality relations, their connection with machine learning, large deviation theory, to cite just of few examples.
In this talk I will discuss several examples where statistical physics and large deviation theory can be useful to solve fundamental problems for climate dynamics. The first example will be the kinetic theory of wave turbulence. Wave turbulence plays an important role for atmosphere/ocean physical exchanges and for mixing of the ocean interior. I will explain how large deviation theory allows to extend this classical theory to compute effects of typical and rare spontaneous fluctuations.
Livestream der Plenar-Vorträge der 12. Liquid Matter Conference in Mainz vom 22. - 27. September 2024
- Länge: 42m 00s
- Nächster Sendetermin: 05.12.2024 12:23 Uhr
- Produziert von: L. Herzog
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