Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) - Part 1: Description of selected key model elements and comparison to its predecessor version
ORCID: https://orcid.org/0000-0003-2692-7624, Sidorenko, Dmitry
ORCID: https://orcid.org/0000-0001-8579-6068, Gurses, Ozgur
ORCID: https://orcid.org/0000-0002-0646-5760, Danilov, Sergey
ORCID: https://orcid.org/0000-0001-8098-182X, Koldunov, Nikolay
ORCID: https://orcid.org/0000-0002-3365-8146, Wang, Qiang
ORCID: https://orcid.org/0000-0002-2704-5394, Sein, Dmitry
ORCID: https://orcid.org/0000-0002-1190-3622, Smolentseva, Margarita
ORCID: https://orcid.org/0000-0002-0961-6325, Rakowsky, Natalja
ORCID: https://orcid.org/0000-0001-6101-0526 and Jung, Thomas
ORCID: https://orcid.org/0000-0002-2651-1293
;
The evaluation and model element description of the second version of the unstructured-mesh Finite-volumE Sea ice-Ocean Model (FESOM2.0) are presented. The new version of the model takes advantage of the finite-volume approach, whereas its predecessor version, FESOM1.4 was based on the finite-element approach. The model sensitivity to arbitrary Lagrangian–Eulerian (ALE) linear and nonlinear free-surface formulation, Gent–McWilliams eddy parameterization, isoneutral Redi diffusion and different vertical mixing schemes is documented. The hydrographic biases, large-scale circulation, numerical performance and scalability of FESOM2.0 are compared with its predecessor, FESOM1.4. FESOM2.0 shows biases with a magnitude comparable to FESOM1.4 and simulates a more realistic Atlantic meridional overturning circulation (AMOC). Compared to its predecessor, FESOM2.0 provides clearly defined fluxes and a 3 times higher throughput in terms of simulated years per day (SYPD). It is thus the first mature global unstructured-mesh ocean model with computational efficiency comparable to state-of-the-art structured-mesh ocean models. Other key elements of the model and new development will be described in follow-up papers.
ORCID: https://orcid.org/0000-0003-2692-7624, Sidorenko, Dmitry
ORCID: https://orcid.org/0000-0001-8579-6068, Gurses, Ozgur
ORCID: https://orcid.org/0000-0002-0646-5760, Danilov, Sergey
ORCID: https://orcid.org/0000-0001-8098-182X, Koldunov, Nikolay
ORCID: https://orcid.org/0000-0002-3365-8146, Wang, Qiang
ORCID: https://orcid.org/0000-0002-2704-5394, Sein, Dmitry
ORCID: https://orcid.org/0000-0002-1190-3622, Smolentseva, Margarita
ORCID: https://orcid.org/0000-0002-0961-6325, Rakowsky, Natalja
ORCID: https://orcid.org/0000-0001-6101-0526 and Jung, Thomas
ORCID: https://orcid.org/0000-0002-2651-1293
;
AWI Organizations > Climate Sciences > Climate Dynamics
AWI Organizations > Infrastructure > Scientific Computing
