Articles | Volume 30, issue 1
Research article
07 Feb 2023
Research article |  | 07 Feb 2023

On the interaction of stochastic forcing and regime dynamics

Joshua Dorrington and Tim Palmer


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-523', Paul PUKITE, 22 Jul 2022
  • RC1: 'Comment on egusphere-2022-523', Anonymous Referee #1, 19 Aug 2022
  • RC2: 'Comment on egusphere-2022-523', Tamas Bodai, 06 Nov 2022
  • AC1: 'Comment on egusphere-2022-523', Joshua Dorrington, 20 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Joshua Dorrington on behalf of the Authors (20 Dec 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (06 Jan 2023) by Lesley De Cruz
RR by Tamas Bodai (06 Jan 2023)
RR by Anonymous Referee #1 (19 Jan 2023)
ED: Publish subject to technical corrections (27 Jan 2023) by Lesley De Cruz
AR by Joshua Dorrington on behalf of the Authors (27 Jan 2023)  Manuscript 
Short summary
Atmospheric models often include random forcings, which aim to replicate the impact of processes too small to be resolved. Recent results in simple atmospheric models suggest that this random forcing can actually stabilise certain slow-varying aspects of the system, which could provide a path for resolving known errors in our models. We use randomly forced simulations of a toy chaotic system and theoretical arguments to explain why this strange effect occurs – at least in simple models.