Articles | Volume 30, issue 2
https://doi.org/10.5194/npg-30-117-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-30-117-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Jun 2023
Research article |
| 19 Jun 2023
| 19 Jun 2023
Control simulation experiments of extreme events with the Lorenz-96 model
Qiwen Sun
CORRESPONDING AUTHOR
Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe, 650-0047, Japan
Graduate School of Mathematics, Nagoya University, Nagoya, 464-8601, Japan
Takemasa Miyoshi
CORRESPONDING AUTHOR
Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe, 650-0047, Japan
Prediction Science Laboratory, RIKEN Cluster for Pioneering Research, Kobe, 650-0047, Japan
RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS), Kobe, 650-0047, Japan
Serge Richard
Data Assimilation Research Team, RIKEN Center for Computational Science (R-CCS), Kobe, 650-0047, Japan
Graduate School of Mathematics, Nagoya University, Nagoya, 464-8601, Japan
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Short summary
This paper is a follow-up of a work by Miyoshi and Sun which was published in NPG Letters in 2022. The control simulation experiment is applied to the Lorenz-96 model for avoiding extreme events. The results show that extreme events of this partially and imperfectly observed chaotic system can be avoided by applying pre-designed small perturbations. These investigations may be extended to more realistic numerical weather prediction models.
This paper is a follow-up of a work by Miyoshi and Sun which was published in NPG Letters in...
