Towards convection-resolving, global atmospheric simulations with the Model for Prediction Across Scales (MPAS) v3.1: an extreme scaling experiment

Heinzeller, D.; Duda, M. G.; Kunstmann, H.

doi:https://doi.org/10.5194/gmd-9-77-2016

Articles | Volume 9, issue 1

https://doi.org/10.5194/gmd-9-77-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-77-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 1

Development and technical paper

|

18 Jan 2016

Development and technical paper |

| 18 Jan 2016

Towards convection-resolving, global atmospheric simulations with the Model for Prediction Across Scales (MPAS) v3.1: an extreme scaling experiment

D. Heinzeller, M. G. Duda, and H. Kunstmann

Data sets

Towards convection-resolving, global atmospheric simulations with the Model for Prediction Across Scales (MPAS): an extreme scaling experiment, links to sourcecode of model and grids Heinzeller, Dominikus; Duda, Michael G; Kunstmann, Harald https://doi.org/10.1594/PANGAEA.849428

Short summary

We present an in-depth evaluation of the Model for Prediction Across Scales (MPAS) with regards to technical aspects of performing model runs and scalability for medium-size meshes on several HPCs. We also demonstrate the model performance in terms of its capability to reproduce the dynamics of the West African monsoon and its associated precipitation in a pilot study. Finally, we conduct extreme scaling tests on a global 3km mesh with 65,536,002 horizontal grid cells on up to 458,752 cores.