EGU23-2644
https://doi.org/10.5194/egusphere-egu23-2644
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Investigating the typicality of the dynamics leading to extreme temperatures in the IPSL-CM6A-LR model

Robin Noyelle1, Pascal Yiou1, and Davide Faranda1,2,3
Robin Noyelle et al.
  • 1LSCE- IPSL, Université Paris-Saclay, Gif-sur-Yvette, France
  • 2London Mathematical Laboratory, London, United Kingdom
  • 3LMD - IPSL, PSL research University,Paris, France

Understanding the physical mechanisms leading to extremes of quantities of interest in dynamical systems remains a challenge. Under mild hypothesis, the application of the theory of large deviations to dynamical systems predicts the convergence of trajectories leading to extremes towards a typical, i.e. most probable, one called the instanton. In this paper, we use a 2000 years long simulation of the IPSL-CM6A-LR model under a stationary pre-industrial climate to test this prediction. We investigate the convergence properties of trajectories leading to extreme temperatures at four locations in Europe for several variables. We show the convergence of trajectories for most physical variables, with some geographical and temporal discrepancies. Our results are coherent with the most probable path prediction and suggest that the instanton dynamics leading to extremes is a relevant feature of climate models.

How to cite: Noyelle, R., Yiou, P., and Faranda, D.: Investigating the typicality of the dynamics leading to extreme temperatures in the IPSL-CM6A-LR model, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-2644, https://doi.org/10.5194/egusphere-egu23-2644, 2023.