Articles | Volume 16, issue 5
https://doi.org/10.5194/gmd-16-1481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-16-1481-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review and perspective paper
| Highlight paper
| 
09 Mar 2023
Review and perspective paper | Highlight paper |
| 09 Mar 2023
| 09 Mar 2023
Reproducible and relocatable regional ocean modelling: fundamentals and practices
Marine System Modelling, National Oceanography Centre, Liverpool, UK
James Harle
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Jason Holt
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Anna Katavouta
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Dale Partridge
Plymouth Marine Laboratory, Plymouth, UK
Jenny Jardine
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Sarah Wakelin
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Julia Rulent
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Anthony Wise
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Katherine Hutchinson
Laboratoire LOCEAN/IPSL, Paris, France
David Byrne
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Diego Bruciaferri
Met Office, Exeter, UK
Enda O'Dea
Met Office, Exeter, UK
Michela De Dominicis
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Pierre Mathiot
Institut des Géosciences et de l’Environnement, University Grenoble Alpes/CNRS/IRD/G-INP, Grenoble, France
Andrew Coward
Marine System Modelling, National Oceanography Centre, Southampton, UK
Andrew Yool
Marine System Modelling, National Oceanography Centre, Southampton, UK
Julien Palmiéri
Marine System Modelling, National Oceanography Centre, Southampton, UK
Gennadi Lessin
Plymouth Marine Laboratory, Plymouth, UK
Claudia Gabriela Mayorga-Adame
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Valérie Le Guennec
Marine System Modelling, National Oceanography Centre, Liverpool, UK
Institute of Mathematical Sciences, Pusan National University, Busan, South Korea
Alex Arnold
Met Office, Exeter, UK
Clément Rousset
Laboratoire LOCEAN/IPSL, Paris, France
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Cited
3 citations as recorded by crossref.
- Using the COAsT Python package to develop a standardised validation workflow for ocean physics models D. Byrne et al. 10.5194/gmd-16-3749-2023
- Modelling pollutants transport scenarios based on the X-Press Pearl disaster J. Rulent et al. 10.1016/j.marpolbul.2024.117129
- regional-mom6: A Python package for automatic generation of regional configurations for the Modular Ocean Model 6 A. Barnes et al. 10.21105/joss.06857
3 citations as recorded by crossref.
- Using the COAsT Python package to develop a standardised validation workflow for ocean physics models D. Byrne et al. 10.5194/gmd-16-3749-2023
- Modelling pollutants transport scenarios based on the X-Press Pearl disaster J. Rulent et al. 10.1016/j.marpolbul.2024.117129
- regional-mom6: A Python package for automatic generation of regional configurations for the Modular Ocean Model 6 A. Barnes et al. 10.21105/joss.06857
Latest update: 04 Nov 2024
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.
Reproducibility is fundamental to the scientific method, but really reproducible computational...
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.
The aim is to increase the capacity of the modelling community to respond to societally...
Special issue