EMS Annual Meeting Abstracts
Vol. 21, EMS2024-562, 2024, updated on 05 Jul 2024
https://doi.org/10.5194/ems2024-562
EMS Annual Meeting 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmospheric circulation representation in CMIP6 models for extreme temperature events using Latent Dirichlet Allocation

Nemo Malhomme1,2, Bérengère Podvin3, Davide Faranda1, and Lionel Mathelin2
Nemo Malhomme et al.
  • 1ESTIMR, Université Paris-Saclay, CNRS, CEA, UVSQ, Laboratoire des sciences du climat et de l'environnement, 91191, Gif-sur-Yvette, France.
  • 2LISN, CNRS, Université Paris-Saclay, 91405, Orsay, France.
  • 3Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire EM2C, 91190, Gif-sur-Yvette, France.

How to cite: Malhomme, N., Podvin, B., Faranda, D., and Mathelin, L.: Atmospheric circulation representation in CMIP6 models for extreme temperature events using Latent Dirichlet Allocation, EMS Annual Meeting 2024, Barcelona, Spain, 1–6 Sep 2024, EMS2024-562, https://doi.org/10.5194/ems2024-562, 2024.

This abstract has been withdrawn on 22 Aug 2024.