Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-879-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-879-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
05 Mar 2019
Methods for assessment of models |
| 05 Mar 2019
| 05 Mar 2019
DCMIP2016: the splitting supercell test case
Department of Meteorology and Atmospheric Science, Penn State University, University Park, PA, USA
National Center for Atmospheric Research, Boulder, CO, USA
Christiane Jablonowski
Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA
James Kent
School of Computing and Mathematics, University of South Wales, Pontypridd, Wales, UK
Peter H. Lauritzen
National Center for Atmospheric Research, Boulder, CO, USA
Ramachandran Nair
National Center for Atmospheric Research, Boulder, CO, USA
Kevin A. Reed
School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA
Paul A. Ullrich
Department of Land, Air and Water Resources, University of California, Davis, Davis, CA, USA
David M. Hall
Department of Computer Science, University of Colorado, Boulder, Boulder, CO, USA
NVIDIA Corporation, Santa Clara, CA, USA
Mark A. Taylor
Sandia National Laboratories, Albuquerque, NM, USA
Don Dazlich
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Ross Heikes
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Celal Konor
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
David Randall
Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration, Princeton, NJ, USA
Lucas Harris
Geophysical Fluid Dynamics Laboratory (GFDL), National Oceanic and Atmospheric Administration, Princeton, NJ, USA
Marco Giorgetta
Department of the Atmosphere in the Earth System, Max Planck Institute for Meteorology, Hamburg, Germany
Daniel Reinert
Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
Christian Kühnlein
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Robert Walko
Rosenstiel School of Marine and Atmospheric Science, University of Miami, Coral Gables, FL, USA
Vivian Lee
Environment and Climate Change Canada (ECCC), Dorval, Québec, Canada
Abdessamad Qaddouri
Environment and Climate Change Canada (ECCC), Dorval, Québec, Canada
Monique Tanguay
Environment and Climate Change Canada (ECCC), Dorval, Québec, Canada
Hiroaki Miura
Department of Earth and Planetary Science, University of Tokyo, Bunkyo, Tokyo, Japan
Tomoki Ohno
Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan
Ryuji Yoshida
RIKEN AICS/Kobe University, Kobe, Japan
Sang-Hun Park
Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
Joseph B. Klemp
National Center for Atmospheric Research, Boulder, CO, USA
William C. Skamarock
National Center for Atmospheric Research, Boulder, CO, USA
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.
We summarize the results of the Dynamical Core Model Intercomparison Project's idealized...
