Comparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere model

Demaeyer, Jonathan; Vannitsem, Stéphane

doi:https://doi.org/10.5194/npg-25-605-2018

Articles | Volume 25, issue 3

https://doi.org/10.5194/npg-25-605-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Numerical modeling, predictability and data assimilation in...

https://doi.org/10.5194/npg-25-605-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

30 Aug 2018

Research article |

| 30 Aug 2018

Comparison of stochastic parameterizations in the framework of a coupled ocean–atmosphere model

Jonathan Demaeyer and Stéphane Vannitsem

Supplement

https://doi.org/10.5194/npg-25-605-2018-supplement

Model code and software

MAOOAM v1.3-stochastic Demaeyer Jonathan, Lesley De Cruz https://doi.org/10.5281/zenodo.1308192

Short summary

We investigate the modeling of the effects of the unresolved scales on the large scales of the coupled ocean–atmosphere model MAOOAM. Two different physically based stochastic methods are considered and compared, in various configurations of the model. Both methods show remarkable performances and are able to model fundamental changes in the model dynamics. Ways to improve the parameterizations' implementation are also proposed.