Articles | Volume 15, issue 9
https://doi.org/10.5194/gmd-15-3721-2022
https://doi.org/10.5194/gmd-15-3721-2022
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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-355', Sergey Danilov, 28 Nov 2021
  • RC2: 'Comment on gmd-2021-355', Anonymous Referee #2, 02 Dec 2021
  • RC3: 'Comment on gmd-2021-355', Anonymous Referee #3, 12 Dec 2021
  • AC1: 'Comment on gmd-2021-355', Adrian Turner, 01 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Adrian Turner on behalf of the Authors (01 Feb 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Feb 2022) by Riccardo Farneti
AR by Adrian Turner on behalf of the Authors (22 Feb 2022)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Adrian Turner on behalf of the Authors (06 Apr 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (06 Apr 2022) by Riccardo Farneti
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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.