Articles | Volume 30, issue 2
Research article
19 Jun 2023
Research article |  | 19 Jun 2023

Control simulation experiments of extreme events with the Lorenz-96 model

Qiwen Sun, Takemasa Miyoshi, and Serge Richard


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on npg-2022-12', Anonymous Referee #1, 25 Sep 2022
    • AC1: 'Reply on RC1', Qiwen Sun, 20 Feb 2023
  • RC2: 'Review of npg-2022-12: Control Simulation Experiments of Extreme Events with the Lorenz-96 Model by Sun et al.', Anonymous Referee #2, 13 Jan 2023
    • AC2: 'Reply on RC2', Qiwen Sun, 20 Feb 2023
  • EC1: 'Comment on npg-2022-12', Natale Alberto Carrassi, 17 Jan 2023
    • AC3: 'Reply on EC1', Qiwen Sun, 20 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Qiwen Sun on behalf of the Authors (02 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (11 Mar 2023) by Natale Alberto Carrassi
AR by Qiwen Sun on behalf of the Authors (16 Mar 2023)  Author's response   Manuscript 
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.