Aller au contenu. | Aller à la navigation

Laboratoire d’Etudes en Géophysique et Océanographie Spatiales

Outils personnels

This is SunRain Plone Theme

Navigation

Vous êtes ici : Accueil / Members / Patrick Marchesiello / Projects / COMODO

COMODO

Par ECOLA Dernière modification 20/08/2018 17:07

ANR COMODO

LEGOS team: P. Marchesiello (PI task I), G. Cambon, Y. Soufflet. Coordination: L. Debreu (LJK, Grenoble)

This project focuses on the first thematic axis of the call for proposal by the ANR "Numerical Models": complex systems modeling. It addresses particularly the thematic on modeling of environmental sciences, specifically oceanography.

 

Download Project outline and Detailed project

 nested ROMS TIW

COMODO: Ocean Modeling Community

The French ocean modeling community was assembled under the group name COMODO (COmmunauté de Modélisation Océanique). This community is diverse and offers a variety of applications and numerical approaches for ocean modeling; it also relies at various degrees on the international community. For the first time, a global effort was proposed to strengthen interactions between community members. The effort was directed towards two main objectives: improving existing models and their numerical methods; and providing guidelines for the development of future generation ocean models. Existing ocean models suffer from a number of well-identified issues that are addressed in this project.

ANR COMODO project

To improve on those issues, COMODO proposed an innovative evaluation of effective resolution, i.e. numerical dissipation mechanisms, especially in the context of submesoscale modeling; and improvement of advection-diffusion schemes for reduction of spurious diapycnal mixing and accurate representation of active and passive tracers. The second part of the proposal was based on recent advances of our community on vertical coordinate systems, unstructured meshes and non-hydrostatic modelling. The objective was here both to continue fundamental research in these topics and to contribute to the design of future generation models involving their system of equations and numerical methods. The proposed developments were evaluated thanks to a benchmark suite that covers both idealized test cases designed to assess basic important properties of numerical schemes and more complex test cases that were set-up for a thorough evaluation of progress made during this project. This benchmark suite, accompanied with the results of the different models, were made publicly available so as to provide elements for future model developments as well as an opportunity for more theoretical work on numerical schemes to be evaluated in the context of ocean modeling.

Effective resolution (task I) - see result summary here

The IRD/LEGOS team addressed the effective resolution problem. The forward cascade of kinetic energy in the ocean surface at submesoscale implies that numerical closure can be made more consistent with physical closure. Nevertheless, dissipation in submesoscale models remains dominated by numerical constraints rather than physical ones. In Marchesiello et al. (2011), model convergence at submesoscale is controlled by numerical dissipation, which overpowers submesoscale energy production and transfer. Effective resolution can thus be defined as the dissipation wavelength marking the start of dissipation range, below which model dynamics become unphysical. This dissipation range is a function of the model numerical filters. Going beyond our present knowledge requires a better understanding of numerical dispersion/dissipation ranges and their connection to the submesoscale range in models. This was the objective of TASK 1 of the ANR-COMODO project, whose results were gathered in Soufflet et al. (2016), with recent complements in Menesguen et al. (2018).

References

  • Soufflet Y., P. Marchesiello, J. Jouanno, X. Capet, L. Debreu, F. Lemarie: On effective resolution in ocean models. Ocean Modelling, 98, 36-40. 
  • Marchesiello P., X. Capet, C. Menkes, and S.C. Kennan, 2011: Submesoscale dynamics in Tropical Instability Waves. Ocean Modelling, 39, 31-46.
  • Menesguen C., S. Le Gentil, P. Marchesiello, and N. Ducousso, 2018: Destabilization of an oceanic meddy-like vortex: energy transfers and significance of numerical settings. Journal of Physical Oceanography, 48, 1151-1168.

Actions sur le document