Articles | Volume 12, issue 3
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, Christiane Jablonowski, James Kent, Peter H. Lauritzen, Ramachandran Nair, Kevin A. Reed, Paul A. Ullrich, David M. Hall, Mark A. Taylor, Don Dazlich, Ross Heikes, Celal Konor, David Randall, Xi Chen, Lucas Harris, Marco Giorgetta, Daniel Reinert, Christian Kühnlein, Robert Walko, Vivian Lee, Abdessamad Qaddouri, Monique Tanguay, Hiroaki Miura, Tomoki Ohno, Ryuji Yoshida, Sang-Hun Park, Joseph B. Klemp, and William C. Skamarock

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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.