Articles | Volume 17, issue 6
Model description paper
22 Mar 2024
Model description paper |  | 22 Mar 2024

Comparison of 4-dimensional variational and ensemble optimal interpolation data assimilation systems using a Regional Ocean Modeling System (v3.4) configuration of the eddy-dominated East Australian Current system

Colette Gabrielle Kerry, Moninya Roughan, Shane Keating, David Gwyther, Gary Brassington, Adil Siripatana, and Joao Marcos A. C. Souza


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2355', Anonymous Referee #1, 13 Nov 2023
  • RC2: 'Comment on egusphere-2023-2355', Anonymous Referee #2, 15 Dec 2023
    • AC3: 'Reply on RC2', Colette Kerry, 18 Dec 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Colette Kerry on behalf of the Authors (05 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Jan 2024) by Deepak Subramani
RR by Anonymous Referee #1 (17 Jan 2024)
ED: Publish subject to technical corrections (24 Jan 2024) by Deepak Subramani
AR by Colette Kerry on behalf of the Authors (25 Jan 2024)  Manuscript 
Short summary
Ocean forecasting relies on the combination of numerical models and ocean observations through data assimilation (DA). Here we assess the performance of two DA systems in a dynamic western boundary current, the East Australian Current, across a common modelling and observational framework. We show that the more advanced, time-dependent method outperforms the time-independent method for forecast horizons of 5 d. This advocates the use of advanced methods for highly variable oceanic regions.