Articles | Volume 12, issue 3
Geosci. Model Dev., 12, 879–892, 2019
https://doi.org/10.5194/gmd-12-879-2019
Geosci. Model Dev., 12, 879–892, 2019
https://doi.org/10.5194/gmd-12-879-2019

Methods for assessment of models 05 Mar 2019

Methods for assessment of models | 05 Mar 2019

DCMIP2016: the splitting supercell test case

Colin M. Zarzycki et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Colin Zarzycki on behalf of the Authors (10 Dec 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Dec 2018) by Simone Marras
RR by Anonymous Referee #2 (26 Dec 2018)
ED: Reconsider after major revisions (27 Dec 2018) by Simone Marras
AR by Colin Zarzycki on behalf of the Authors (04 Feb 2019)  Author's response    Manuscript
ED: Publish as is (11 Feb 2019) by Simone Marras
Short summary
We summarize the results of the Dynamical Core Model Intercomparison Project's idealized supercell test case. Supercells are storm-scale weather phenomena that are a key target for next-generation, non-hydrostatic weather prediction models. We show that the dynamical cores of most global numerical models converge between approximately 1 and 0.5 km grid spacing for this test, although differences in final solution exist, particularly due to differing grid discretizations and numerical diffusion.