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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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.