Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-108
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model experiment description paper
06 Jun 2017
Review status
This discussion paper is under review for the journal Geoscientific Model Development (GMD).
DCMIP2016: A Review of Non-hydrostatic Dynamical Core Design and Intercomparison of Participating Models
Paul A. Ullrich1, Christiane Jablonowski2, James Kent3, Peter H. Lauritzen4, Ramachandran Nair4, Kevin A. Reed5, Colin M. Zarzycki4, David M. Hall6, Don Dazlich7, Ross Heikes7, Celal Konor7, David Randall7, Thomas Dubos8, Yann Meurdesoif8, Xi Chen9, Lucas Harris9, Christian Kühnlein10, Vivian Lee11, Abdessamad Qaddouri11, Claude Girard11, Marco Giorgetta12, Daniel Reinert13, Joseph Klemp4, Sang-Hun Park4, William Skamarock4, Hiroaki Miura14, Tomoki Ohno14, Ryuji Yoshida15, Robert Walko16, Alex Reinecke17, and Kevin Viner17 1University of California, Davis
2University of Michigan
3University of South Wales
4National Center for Atmospheric Research
5Stony Brook University
6University of Colorado, Boulder
7Colorado State University
8Institut Pierre-Simon Laplace (IPSL)
9Geophysical Fluid Dynamics Laboratory (GFDL)
10European Centre for Medium-Range Weather Forecasts (ECMWF)
11Environment and Climate Change Canada
12Max Planck Institute for Meteorology
13Deutscher Wetterdienst (DWD)
14University of Tokyo
15RIKEN
16University of Miami
17Naval Research Laboratory
Abstract. Atmospheric dynamical cores are a fundamental component of global atmospheric modeling systems, and are responsible for capturing the dynamical behavior of the Earth's atmosphere via numerical integration of the Naviér–Stokes equations. These systems have existed in one form or another for over half of a century, with the earliest discretizations having now evolved into a complex ecosystem of algorithms and computational strategies. In essence, no two dynamical cores are alike, and their individual successes suggest that no perfect model exists. To better understand modern dynamical cores, this paper aims to provide a comprehensive review of eleven dynamical cores, drawn from modeling centers and groups that participated in the 2016 Dynamical Core Model Intercomparison Project (DCMIP) workshop and summer school. This review includes choice of model grid, variable placement, vertical coordinate, prognostic equations, temporal discretization, and the diffusion, stabilization, filters and fixers employed by each system.

Citation: Ullrich, P. A., Jablonowski, C., Kent, J., Lauritzen, P. H., Nair, R., Reed, K. A., Zarzycki, C. M., Hall, D. M., Dazlich, D., Heikes, R., Konor, C., Randall, D., Dubos, T., Meurdesoif, Y., Chen, X., Harris, L., Kühnlein, C., Lee, V., Qaddouri, A., Girard, C., Giorgetta, M., Reinert, D., Klemp, J., Park, S.-H., Skamarock, W., Miura, H., Ohno, T., Yoshida, R., Walko, R., Reinecke, A., and Viner, K.: DCMIP2016: A Review of Non-hydrostatic Dynamical Core Design and Intercomparison of Participating Models, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-108, in review, 2017.
Paul A. Ullrich et al.
Paul A. Ullrich et al.

Model code and software

CSU Model Code
D. Randall, D. Dazlich, and R. Heikes
https://doi.org/10.5281/zenodo.580099
DYNAMICO Model Code
T. Dubos and Y. Meurdesoif
https://doi.org/10.5281/zenodo.583718
MPAS Model Code
W. Skamarock, J. Klemp, and S.-H. Park
https://doi.org/10.5281/zenodo.583316
NICAM Model Code
H. Miura, T. Ohno, and R. Yoshida
https://doi.org/10.5281/zenodo.580128
OLAM Model Code
R. Walko
https://doi.org/10.5281/zenodo.582308
TEMPEST Model Code
P. Ullrich
https://doi.org/10.5281/zenodo.579649
Paul A. Ullrich et al.

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Short summary
Atmospheric dynamical cores are a fundamental component of global atmospheric modeling systems, and are responsible for capturing the dynamical behavior of the Earth's atmosphere. To better understand modern dynamical cores, this paper aims to provide a comprehensive review of eleven dynamical cores, drawn from modeling centers and groups that participated in the 2016 Dynamical Core Model Intercomparison Project (DCMIP) workshop and summer school.
Atmospheric dynamical cores are a fundamental component of global atmospheric modeling systems,...
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