Preprints
https://doi.org/10.5194/gmd-2023-208
https://doi.org/10.5194/gmd-2023-208
Submitted as: development and technical paper
 | 
10 Jan 2024
Submitted as: development and technical paper |  | 10 Jan 2024
Status: this preprint is currently under review for the journal GMD.

Split-explicit external mode solver in finite volume sea ice ocean model FESOM2

Tridib Banerjee, Patrick Scholz, Sergey Danilov, Knut Klingbeil, and Dimitry Sidorenko

Abstract. A novel split-explicit (SE) external mode solver for the Finite volumE Sea ice–Ocean Model (FESOM2) and its sub-versions (example 2.5) is presented. It is compared with the semi-implicit (SI) solver currently used in FESOM2. The split-explicit solver utilizes a dissipative asynchronous (forward–backward) time-stepping scheme. Its implementation with Arbitrary Lagrangian-Eulerian vertical coordinates like Z-star (Z ) and Z-tilde (Z˜) is explored. The comparisons are performed through multiple test cases involving idealized and realistic global simulations. The SE solver demonstrates lower phase errors and dissipation, but maintain a simulated mean ocean state very similar to the SI solver. The SE solver is also shown to possess better run-time performance and parallel scalability across all tested workloads.

Tridib Banerjee, Patrick Scholz, Sergey Danilov, Knut Klingbeil, and Dimitry Sidorenko

Status: open (until 21 Mar 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Tridib Banerjee, Patrick Scholz, Sergey Danilov, Knut Klingbeil, and Dimitry Sidorenko

Model code and software

FESOM2.5 with preliminary Split-Explicit Subcycling Banerjee Tridib, Danilov Sergey, Scholz Patrick, Klingbeil Knut, and Sidorenko Dimitry https://zenodo.org/doi/10.5281/zenodo.10040943

Tridib Banerjee, Patrick Scholz, Sergey Danilov, Knut Klingbeil, and Dimitry Sidorenko

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Short summary
In this paper we propose a new alternative to one of the functionalities of sea-ice model FESOM2. The alternative we propose allows for the model to capture and simulate more accurately fast changes in quantities like sea-surface-elevation. We also demonstrate that the new alternative is faster and is more adept in taking advantages of highly parallelised computing infrastructure. We show that this new alternative can in future became a great addition to the sea-ice model FESOM2.