Articles | Volume 31, issue 1
Research article
28 Mar 2024
Research article |  | 28 Mar 2024

The sampling method for optimal precursors of El Niño–Southern Oscillation events

Bin Shi and Junjie Ma


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2092', Anonymous Referee #1, 21 Oct 2023
  • CC1: 'Referee Comment on egusphere-2023-2092', Manuel Santos Gutiérrez, 24 Oct 2023
  • RC2: 'Comment on egusphere-2023-2092', Anonymous Referee #2, 25 Oct 2023
  • AC1: 'Comment on egusphere-2023-2092', Bin Shi, 09 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Bin Shi on behalf of the Authors (16 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Dec 2023) by Pierre Tandeo
RR by Anonymous Referee #2 (29 Jan 2024)
ED: Publish as is (19 Feb 2024) by Pierre Tandeo
AR by Bin Shi on behalf of the Authors (19 Feb 2024)
Short summary
Different from traditional deterministic optimization algorithms, we implement the sampling method to compute the conditional nonlinear optimal perturbations (CNOPs) in the realistic and predictive coupled ocean–atmosphere model, which reduces the first-order information to the zeroth-order one, avoiding the high-cost computation of the gradient. The numerical performance highlights the importance of stochastic optimization algorithms to compute CNOPs and capture initial optimal precursors.