Understanding and modeling climate dynamics has become a civilizational imperative in recent decades. It is also a real challenge for fundamental science. For example, components of the climate system like the atmosphere and the ocean are turbulent flows, and turbulence remains one of the great unsolved problems in physics and mathematics. Different techniques and theoretical tools adapted to the study of climate dynamics have started to emerge in recent years: machine learning methods, stochastic approaches, complex multi-scale systems, theory of extreme events, development of algorithms for the calculation of rare events, etc. These tools are promising for the implementation of new model parameterizations, to give a new framework to the problem of predictability and climate variability, and in particular for the problem of climate sensitivity: what will be the response of the climate system to a modification of external parameters such as a doubling of the concentration of CO2 in the atmosphere? In this context, a fundamental challenge is to identify on the one hand the relevant problems in the climatic context, and on the other hand the appropriate theoretical and mathematical physics tools to tackle these problems.

Central concepts of climate sensitivity will be introduced in a mini-school, followed by a research workshop on more specialized topics.

This event is part of the thematic semester "Mathematics and Theoretical Physics" sponsored by LABEX MILYON.

*Registration to both events is free but mandatory.*

*If you are interested to follow the lectures or the workshop online, please send an e-mail before Friday, September 16th, to mathphysclimate@sciencesconf.org. We will then send you visioconference information before the start of the meetings. *

*Deadline for registration to both events: August 31, 2022. In case we reach the capacity limits for the number of participants before the deadline, participants will be accepted based on their registration date.*