EGU26-13629, updated on 14 Sep 2026
https://doi.org/10.5194/egusphere-egu26-13629
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Extracting persistent topological modes of variability in complex dynamics from data
1,2,3,4,5,6,7,8,2,9- 1CONICET – Universidad de Buenos Aires. Centro de Investigaciones del Mar y la Atmósfera (CIMA), C1428EGA Ciudad Autónoma de Buenos Aires, Argentina, Argentina (gisela.charo@cima.fcen.uba.ar)
- 2CNRS – IRD – CONICET – UBA. Institut Franco-Argentin d'Études sur le Climat et ses Impacts (IRL 3351 IFAECI), C1428EGA Ciudad Autónoma de Buenos Aires, Argentina
- 3Laboratoire des Sciences du Climat et de l’Environnement, CEA Saclay l’Orme des Merisiers, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay & IPSL, 91191, Gif-sur-Yvette, France
- 4London Mathematical Laboratory, 8 Margravine Gardens, London, W6 8RH, UK
- 5Laboratoire de Météorologie Dynamique/IPSL, École Normale Supérieure, PSL Research University, Sorbonne Université, École Polytechnique, IP Paris, CNRS, Paris, France
- 6Geosciences Department and Laboratoire de Météorologie Dynamique (CNRS and IPSL), École Normale Supérieure and PSL University, 75231 Paris Cedex 05, France
- 7Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, CA 90095-1565, USA
- 8Departments of Mathematics and of Finance, Imperial College London, London, UK
- 9CNRS – Centre National de la Recherche Scientifique, 75016 Paris, France.
How to cite: Charó, G. D., Faranda, D., Ghil, M., and Sciamarella, D.: Extracting persistent topological modes of variability in complex dynamics from data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-13629, https://doi.org/10.5194/egusphere-egu26-13629, 2026.