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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 12, issue 3
Geosci. Model Dev., 12, 879–892, 2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 879–892, 2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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
Publications Copernicus
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.
We summarize the results of the Dynamical Core Model Intercomparison Project's idealized...