- 1Royal Meteorological Institute of Belgium, Meteorological and Climatological Information Service, Brussels, Belgium (svn@meteo.be)
- 2Division of Frontier Research, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), China
- 3CMA–FDU Joint Laboratory of Marine Meteorology, Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai, China
- 4Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Nonlinear quadratic and linear dynamical dependencies of large-scale climate modes are disentangled through the analysis of the rate of the information transfer. That is performed in a joint analysis of eight dominant climate modes, covering the tropics and extratropics over the North Pacific and Atlantic. A clear signature of nonlinear and compound influences at low-frequencies (time scales larger than a year) are emerging, while high-frequencies are only affected by linear dependencies. These results point to the complex nonlinear collective behavior at global scale of the climate system at low-frequencies, supporting earlier views that regional climate modes are local expressions of a global intricate low-frequency variability dynamics, which is still to be fully uncovered.
How to cite: Vannitsem, S., Liang, X. S., and Pires, C. A.: Nonlinear causal dependencies as a signature of the complexity of the climate dynamics, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-4715, https://doi.org/10.5194/egusphere-egu25-4715, 2025.