EGU24-19735, updated on 11 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Tuesday, 16 Apr, 16:15–18:00 (CEST), Display time Tuesday, 16 Apr, 14:00–18:00
Hall X5, X5.141

Network of extremes in ocean eddy-resolving climate models

Emma Ferri1, Nicolas Gruber1, Matthias Münnich1, and Dian Putrasahan2
Emma Ferri et al.
  • 1ETH Zurich , ETH Zurich, Environmental Systems Science, Switzerland (
  • 2Max-Planck-Institut für Meteorologie

Marine extreme events, such as marine heatwaves, have a disproportional impact on marine organisms and ecosystems, shaping many of their characteristics. Even though such extremes have become the focus of much research in the last few years, our understanding of the processes that give rise to extreme conditions is still relatively poor. Mesoscale processes have been shown to structure and shape extremes, but also not much is known about their role. Here we use graph theory to detect the correlation between extreme marine events and distant occurrences of atmospheric extremes in the context of mesoscale variability. The data stem from a set of mesoscale resolution model simulation results obtained from the European Eddy RIch Earth System Models (EERIE) project. Common statistical tests such as the Pearson correlation coefficient and the Granger causality will be used to build the graph object. This will permit us to build a network of different oceanographic and atmospheric variables in an attempt to detect teleconnections, such as, for example, the impact of El Niño, on the onset, persistence, and demise of extremes. Our initial networks correlate various variables, such as precipitation and sea surface temperature (SST), eddy kinetic energy and SST, and global SST variations.

How to cite: Ferri, E., Gruber, N., Münnich, M., and Putrasahan, D.: Network of extremes in ocean eddy-resolving climate models, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-19735,, 2024.