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
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Cited
13 citations as recorded by crossref.
- An Energy Consistent Discretization of the Nonhydrostatic Equations in Primitive Variables M. Taylor et al. 10.1029/2019MS001783
- Understanding the dependence of storm splitting on numerical models: Comparing UM and WRF A. Dipankar et al. 10.1002/qj.4025
- Using Radiative Convective Equilibrium to Explore Clouds and Climate in the Community Atmosphere Model K. Reed et al. 10.1029/2021MS002539
- Storm splitting process and the associated mechanisms for a long-lived hailstorm X. Guo et al. 10.1016/j.atmosres.2022.106472
- DCMIP2016: the tropical cyclone test case J. Willson et al. 10.5194/gmd-17-2493-2024
- A mountain-induced moist baroclinic wave test case for the dynamical cores of atmospheric general circulation models O. Hughes & C. Jablonowski 10.5194/gmd-16-6805-2023
- A Multiscale Dynamical Model in a Dry-Mass Coordinate for Weather and Climate Modeling: Moist Dynamics and Its Coupling to Physics Y. Zhang et al. 10.1175/MWR-D-19-0305.1
- Mixed-precision computing in the GRIST dynamical core for weather and climate modelling S. Chen et al. 10.5194/gmd-17-6301-2024
- Synoptic, dynamical and microphysical properties for splitting and non-splitting hailstorms X. Guo et al. 10.1016/j.atmosres.2023.107203
- Enhancing the stability of a global model by using an adaptively implicit vertical moist transport scheme J. Li & Y. Zhang 10.1007/s00703-022-00895-5
- A modified nonhydrostatic moist global spectral dynamical core using a dry‐mass vertical coordinate J. Peng et al. 10.1002/qj.3574
- Storm Splitting Process and the Associated Mechanisms for a Long-Lived Hailstorm X. Guo et al. 10.2139/ssrn.4165804
- FVM 1.0: a nonhydrostatic finite-volume dynamical core for the IFS C. Kühnlein et al. 10.5194/gmd-12-651-2019
12 citations as recorded by crossref.
- An Energy Consistent Discretization of the Nonhydrostatic Equations in Primitive Variables M. Taylor et al. 10.1029/2019MS001783
- Understanding the dependence of storm splitting on numerical models: Comparing UM and WRF A. Dipankar et al. 10.1002/qj.4025
- Using Radiative Convective Equilibrium to Explore Clouds and Climate in the Community Atmosphere Model K. Reed et al. 10.1029/2021MS002539
- Storm splitting process and the associated mechanisms for a long-lived hailstorm X. Guo et al. 10.1016/j.atmosres.2022.106472
- DCMIP2016: the tropical cyclone test case J. Willson et al. 10.5194/gmd-17-2493-2024
- A mountain-induced moist baroclinic wave test case for the dynamical cores of atmospheric general circulation models O. Hughes & C. Jablonowski 10.5194/gmd-16-6805-2023
- A Multiscale Dynamical Model in a Dry-Mass Coordinate for Weather and Climate Modeling: Moist Dynamics and Its Coupling to Physics Y. Zhang et al. 10.1175/MWR-D-19-0305.1
- Mixed-precision computing in the GRIST dynamical core for weather and climate modelling S. Chen et al. 10.5194/gmd-17-6301-2024
- Synoptic, dynamical and microphysical properties for splitting and non-splitting hailstorms X. Guo et al. 10.1016/j.atmosres.2023.107203
- Enhancing the stability of a global model by using an adaptively implicit vertical moist transport scheme J. Li & Y. Zhang 10.1007/s00703-022-00895-5
- A modified nonhydrostatic moist global spectral dynamical core using a dry‐mass vertical coordinate J. Peng et al. 10.1002/qj.3574
- Storm Splitting Process and the Associated Mechanisms for a Long-Lived Hailstorm X. Guo et al. 10.2139/ssrn.4165804
1 citations as recorded by crossref.
Discussed (preprint)
Latest update: 14 Dec 2024
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...
