Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 2
Articles | Volume 18, issue 2
https://doi.org/10.5194/gmd-18-211-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-211-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 2
Model description paper
 | 
20 Jan 2025
Model description paper |  | 20 Jan 2025

HOTSSea v1: a NEMO-based physical Hindcast of the Salish Sea (1980–2018) supporting ecosystem model development

Greig Oldford, Tereza Jarníková, Villy Christensen, and Michael Dunphy

Supplement

https://doi.org/10.5194/gmd-18-211-2025-supplement

Data sets

HOTSSea Model v1 monthly outputs (v1.02.4) Greig Oldford https://doi.org/10.5281/zenodo.13942109

HOTSSea v1 Forcings - CIOPSW, ERA5, ORAS5, Obs, Runoff etc Greig Oldford and Michael Dunphy https://doi.org/10.5281/zenodo.12312769

HOTSSea Forcings - HRDPS Greig Oldford and Michael Dunphy https://doi.org/10.5281/zenodo.12193924

HOTSSea Forcings - RDRS v2.1 Environment and Climate Change Canada https://doi.org/10.5281/zenodo.12206291

pacea: An R package of Pacific ecosystem information to help facilitate an ecosystem approach to fisheries management Andrew Edwards et al. https://doi.org/10.5281/zenodo.13840804

Model code and software

goldford/HOTSSea_v1_NEMOandSupportCode - Readme, Code, and Figure Changes (Manuscript Revision) Greig Oldford https://doi.org/10.5281/zenodo.13887813

NEMO ocean engine G. Madec et al. https://doi.org/10.5281/zenodo.1464816

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Short summary
We developed a 3D ocean model called the Hindcast of the Salish Sea (HOTSSea v1) that recreates physical conditions throughout the Salish Sea from 1980 to 2018. It was not clear that acceptable accuracy could be achieved because of computational and data limitations, but the model's predictions agreed well with observations. When we used the model to examine ocean temperature trends in areas that lack observations, it indicated that some seasons and areas are warming faster than others. 
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