The Role of Orthogonal Conditional Nonlinear Optimal Perturbations (O-CNOPs) in Ensemble Forecasting of Extreme Rainfall: Improvement and Physical Perturbation Mechanisms

yiran liu; juanjuan liu

doi:https://doi.org/10.5194/egusphere-egu26-12835

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EGU26-12835, updated on 14 Mar 2026

https://doi.org/10.5194/egusphere-egu26-12835

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

The Role of Orthogonal Conditional Nonlinear Optimal Perturbations (O-CNOPs) in Ensemble Forecasting of Extreme Rainfall: Improvement and Physical Perturbation Mechanisms

yiran liu^1,2 and juanjuan liu^1,2

yiran liu and juanjuan liu

¹Institute of Atmospheric Physics,Beijing,China (liuyiran21@mails.ucas.ac.cn)
²University of Chinese Academy of Sciences, Beijing, China

How to cite: liu, Y. and liu, J.: The Role of Orthogonal Conditional Nonlinear Optimal Perturbations (O-CNOPs) in Ensemble Forecasting of Extreme Rainfall: Improvement and Physical Perturbation Mechanisms, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-12835, https://doi.org/10.5194/egusphere-egu26-12835, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.