MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes

Turner, Adrian K.; Lipscomb, William H.; Hunke, Elizabeth C.; Jacobsen​​​​​​​, Douglas W.; Jeffery, Nicole; Engwirda, Darren; Ringler, Todd D.; Wolfe, Jonathan D.

doi:https://doi.org/10.5194/gmd-15-3721-2022

Articles | Volume 15, issue 9

https://doi.org/10.5194/gmd-15-3721-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-15-3721-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 9

Model description paper

|

10 May 2022

Model description paper |

| 10 May 2022

MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes

Adrian K. Turner, William H. Lipscomb, Elizabeth C. Hunke, Douglas W. Jacobsen, Nicole Jeffery, Darren Engwirda, Todd D. Ringler, and Jonathan D. Wolfe

Data sets

MPAS-Seaice v1.0.0 data set Adrian Turner https://doi.org/10.5281/zenodo.6230907

Version 2 forcing for Coordinated Ocean-ice Reference Experiments (CORE) NOAA https://data1.gfdl.noaa.gov/nomads/forms/core/COREv2.html

Model code and software

Energy Exascale Earth System Model v2.0 E3SM Project and DOE https://doi.org/10.11578/E3SM/dc.20210927.1

Short summary

We present the dynamical core of the MPAS-Seaice model, which uses a mesh consisting of a Voronoi tessellation with polygonal cells. Such a mesh allows variable mesh resolution in different parts of the domain and the focusing of computational resources in regions of interest. We describe the velocity solver and tracer transport schemes used and examine errors generated by the model in both idealized and realistic test cases and examine the computational efficiency of the model.