Articles | Volume 16, issue 5
Review and perspective paper
 | Highlight paper
09 Mar 2023
Review and perspective paper | Highlight paper |  | 09 Mar 2023

Reproducible and relocatable regional ocean modelling: fundamentals and practices

Jeff Polton, James Harle, Jason Holt, Anna Katavouta, Dale Partridge, Jenny Jardine, Sarah Wakelin, Julia Rulent, Anthony Wise, Katherine Hutchinson, David Byrne, Diego Bruciaferri, Enda O'Dea, Michela De Dominicis, Pierre Mathiot, Andrew Coward, Andrew Yool, Julien Palmiéri, Gennadi Lessin, Claudia Gabriela Mayorga-Adame, Valérie Le Guennec, Alex Arnold, and Clément Rousset


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-217', Anonymous Referee #1, 22 Nov 2022
    • AC1: 'Reply on RC1', Jeff Polton, 06 Jan 2023
  • RC2: 'Comment on gmd-2022-217', Anonymous Referee #2, 29 Nov 2022
    • AC2: 'Reply on RC2', Jeff Polton, 06 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jeff Polton on behalf of the Authors (06 Jan 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (27 Jan 2023) by Olivier Marti
ED: Publish subject to technical corrections (02 Feb 2023) by David Ham (Executive editor)
AR by Jeff Polton on behalf of the Authors (09 Feb 2023)  Author's response   Manuscript 
Executive editor
Reproducibility is fundamental to the scientific method, but really reproducible computational science at the scale of ocean modelling is far from universal. This manuscript addresses the question of what it takes for regional ocean simulations to be reproducible. It should act as a reference point for that community and beyond.
Short summary
The aim is to increase the capacity of the modelling community to respond to societally important questions that require ocean modelling. The concept of reproducibility for regional ocean modelling is developed: advocating methods for reproducible workflows and standardised methods of assessment. Then, targeting the NEMO framework, we give practical advice and worked examples, highlighting key considerations that will the expedite development cycle and upskill the user community.