EGU22-13278
https://doi.org/10.5194/egusphere-egu22-13278
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Stability and accuracy of Runge-Kutta-based split-explicit time-stepping algorithms for free-surface ocean models

Florian Lemarie1, Nicolas Ducousso1,2, Laurent Debreu1, and Gurvan Madec1,3
Florian Lemarie et al.
  • 1Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France
  • 2Service Hydrographique et Océanographique de la Marine, Brest, France
  • 3Sorbonne Universités (UPMC, Univ Paris 06)-CNRS-IRD-MNHN, LOCEAN Laboratory, Paris, France

Because of the Boussinesq assumption employed in the vast majority of oceanic models,
the acoustic waves are filtered and the fast dynamics corresponds to the external
gravity-wave propagation which is much faster than other (internal) processes.
The fast and slow dynamics are traditionally split into separate subproblems
where the fast motions are nearly independent of depth.  It is thus natural to
model these motions with a two-dimensional (barotropic) system of equations while
the slow processes are modeled with a three-dimensional (baroclinic) system.
However such splitting is inexact, the barotropic mode is not strictly depth-independent
meaning that the separation of slow and fast modes is non-orthogonal, even in the linear case.
A consequence is that there are some fast components contained in the slow motions which induce
instabilities controlled by time filtering of the fast mode.
In this talk we present an analysis of the stability and accuracy of the barotropic–baroclinic mode splitting
in the case where the baroclinic mode is integrated using a Runge-Kutta
scheme and the barotropic mode is integrated explicitly (i.e. the so-called split-explicit approach).
By referring to the theoretical framework developed by Demange et al. (2019),
the analysis is based on an eigenvector decomposition using the true
(depth-dependent) barotropic mode. We investigate several strategies to achieve stable
integrations whose performance is assessed first on a theoretical ground and then
by idealized linear and nonlinear numerical experiments.

How to cite: Lemarie, F., Ducousso, N., Debreu, L., and Madec, G.: Stability and accuracy of Runge-Kutta-based split-explicit time-stepping algorithms for free-surface ocean models, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-13278, https://doi.org/10.5194/egusphere-egu22-13278, 2022.

Comments on the display material

to access the discussion