EGU25-14531, updated on 12 Jan 2026
https://doi.org/10.5194/egusphere-egu25-14531
EGU General Assembly 2025
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Quantifying the practical local predictability of the January 2021 sudden stratospheric warming using a novel nonlinear method
2,1- 1Chengdu University of Information Technology, School of Atmospheric Sciences, China (zhouxin18@cuit.edu.cn)
- 2Ocean Institute of Northwestern Polytechnical University, Taicang, China (lixuan@fudan.edu.cn)
How to cite: Zhou, X., Zhang, G., Li, X., and Li, Y.: Quantifying the practical local predictability of the January 2021 sudden stratospheric warming using a novel nonlinear method, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-14531, https://doi.org/10.5194/egusphere-egu25-14531, 2025.