Articles | Volume 12, issue 3
Geosci. Model Dev., 12, 879–892, 2019
Geosci. Model Dev., 12, 879–892, 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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Cited articles

Browning, K. A.: Airflow and Precipitation Trajectories Within Severe Local Storms Which Travel to the Right of the Winds, J. Atmos. Sci., 21, 634–639,<0634:AAPTWS>2.0.CO;2, 1964. a
Doswell, C. A. and Burgess, D. W.: Tornadoes and toraadic storms: A review of conceptual models, The Tornado: Its Structure, Dynamics, Prediction, and Hazards, Geophysical Monograph Series, American Geophysical Union, 161–172, 1993. a
Gallus, W. A. and Bresch, J. F.: Comparison of Impacts of WRF Dynamic Core, Physics Package, and Initial Conditions on Warm Season Rainfall Forecasts, Mon. Weather Rev., 134, 2632–2641,, 2006. a, b
Gross, M., Wan, H., Rasch, P. J., Caldwell, P. M., Williamson, D. L., Klocke, D., Jablonowski, C., Thatcher, D. R., Wood, N., Cullen, M., Beare, B., Willett, M., Lemarié, F., Blayo, E., Malardel, S., Termonia, P., Gassmann, A., Lauritzen, P. H., Johansen, H., Zarzycki, C. M., Sakaguchi, K., and Leung, R.: Physics–Dynamics Coupling in Weather, Climate, and Earth System Models: Challenges and Recent Progress, Mon. Weather Rev., 146, 3505–3544,, 2018. a
Guimond, S. R., Reisner, J. M., Marras, S., and Giraldo, F. X.: The Impacts of Dry Dynamic Cores on Asymmetric Hurricane Intensification, J. Atmos. Sci., 73, 4661–4684,, 2016. a, b
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.