S2P3-R v2.0: computationally efficient modelling of shelf seas on regional to global scales

Halloran, Paul R.; McWhorter, Jennifer K.; Arellano Nava, Beatriz; Marsh, Robert; Skirving, William

doi:https://doi.org/10.5194/gmd-14-6177-2021

Articles | Volume 14, issue 10

https://doi.org/10.5194/gmd-14-6177-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-6177-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 10

Model description paper

|

15 Oct 2021

Model description paper |

| 15 Oct 2021

S2P3-R v2.0: computationally efficient modelling of shelf seas on regional to global scales

Paul R. Halloran, Jennifer K. McWhorter, Beatriz Arellano Nava, Robert Marsh, and William Skirving

Data sets

S2P3Rv2.0 bias data Paul R. Halloran https://doi.org/10.5281/zenodo.4018815

Model code and software

PaulHalloran/S2P3Rv2.0: S2P3-R v2.0: computationally efficient modelling of shelf seas on regional to global scales SUBMISSION (v1.0.1) Paul R. Halloran https://doi.org/10.5281/zenodo.4147559

Short summary

This paper describes the latest version of a simple model for simulating coastal oceanography in response to changes in weather and climate. The latest revision of this model makes scientific improvements but focuses on improvements that allow the model to be run simply at large scales and for long periods of time to explore the implications of (for example) future climate change along large areas of coastline.