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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 12
Geosci. Model Dev., 10, 4477-4509, 2017
https://doi.org/10.5194/gmd-10-4477-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Dynamical Core Model Intercomparison Project 2016

Geosci. Model Dev., 10, 4477-4509, 2017
https://doi.org/10.5194/gmd-10-4477-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review and perspective paper 06 Dec 2017

Review and perspective paper | 06 Dec 2017

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 Park14, William Skamarock4, Hiroaki Miura15, Tomoki Ohno19, Ryuji Yoshida16, Robert Walko17, Alex Reinecke18, and Kevin Viner18 Paul A. Ullrich et al.
  • 1University of California, Davis, Davis, CA, USA
  • 2University of Michigan, Ann Arbor, MI, USA
  • 3University of South Wales, Pontypridd, Wales, UK
  • 4National Center for Atmospheric Research, Boulder, CO, USA
  • 5Stony Brook University, Stony Brook, NY, USA
  • 6University of Colorado, Boulder, Boulder, CO, USA
  • 7Colorado State University, Fort Collins, CO, USA
  • 8Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace (IPSL), Paris, France
  • 9Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ, USA
  • 10European Center for Medium-Range Weather Forecasting (ECMWF), Reading, UK
  • 11Environment and Climate Change Canada (ECCC), Dorval, Québec, Canada
  • 12Max Planck Institute for Meteorology, Hamburg, Germany
  • 13Deutscher Wetterdienst (DWD), Offenbach am Main, Germany
  • 14Yonsei University, Seoul, South Korea
  • 15University of Tokyo, Bunkyo, Tokyo, Japan
  • 16RIKEN AICS/Kobe University, Kobe, Japan
  • 17University of Miami, Coral Gables, FL, USA
  • 18Naval Research Laboratory, Monterey, CA, USA
  • 19Japan Agency for Marine-Earth Science and Technology, Yokohama, Kanagawa, Japan

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 Navier–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 11 non-hydrostatic 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 a choice of model grid, variable placement, vertical coordinate, prognostic equations, temporal discretization, and the diffusion, stabilization, filters, and fixers employed by each system.

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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 11 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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