Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-879-2019
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, 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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Colin Zarzycki on behalf of the Authors (10 Dec 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (11 Dec 2018) by Simone Marras
RR by Anonymous Referee #2 (26 Dec 2018)
ED: Reconsider after major revisions (27 Dec 2018) by Simone Marras
AR by Colin Zarzycki on behalf of the Authors (04 Feb 2019)  Author's response   Manuscript 
ED: Publish as is (11 Feb 2019) by Simone Marras
AR by Colin Zarzycki on behalf of the Authors (11 Feb 2019)  Manuscript 
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.