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.

Model code and software

ClimateGlobalChange/DCMIP2016 Paul Ullrich; Peter Hjort Lauritzen; Kevin Reed; Christiane Jablonowski; Colin Zarzycki; James Kent; Ramachandran Nair; Antonin Verlet-Banide https://doi.org/10.5281/zenodo.1298671

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.