Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 13
Articles | Volume 16, issue 13
https://doi.org/10.5194/gmd-16-3749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3749-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 13
Methods for assessment of models
 | 
06 Jul 2023
Methods for assessment of models |  | 06 Jul 2023

Using the COAsT Python package to develop a standardised validation workflow for ocean physics models

David Byrne, Jeff Polton, Enda O'Dea, and Joanne Williams

Data sets

Analysis datasets for NEMO_validation workflow Byrne et al 2023 GMD. "Using the COAsT Python package to develop a standardised validation workflow for ocean physics models" J. A. Polton, D. Byrne, and E. O'Dea https://doi.org/10.5281/zenodo.8108965

Model code and software

British-Oceanographic-Data-Centre/COAsT: v3.2.1 (v3.2.1) Jeff A. Polton, David Byrne, Anthony Wise, Jason Holt, Anna Katavouta, Julia Rulent, Thomas Gardner, Matthew Cazaly, Malcolm Hearn, Rob Jennings, Quyen Luong, Stephen Loch, Luke Gorman, and Lee de Mora https://doi.org/10.5281/zenodo.7799863

JMMP-Group/NEMO_validation: v1.0.1 (v1.0.1) J. A. Polton, D. Byrne, and E. O'Dea https://doi.org/10.5281/zenodo.7949115

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Short summary
Validation is a crucial step during the development of models for ocean simulation. The purpose of validation is to assess how accurate a model is. It is most commonly done by comparing output from a model to actual observations. In this paper, we introduce and demonstrate usage of the COAsT Python package to standardise the validation process for physical ocean models. We also discuss our five guiding principles for standardised validation.
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