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The ICON Project: Motivation, Current Status and Perspectives

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Title: The ICON Project: Motivation, Current Status and Perspectives


1
The ICON Project Motivation, Current Status and
Perspectives
  • A joint project of the Max Planck Institute for
    Meteorology (MPI-M)
  • and the German Meteorological Service (DWD)
  • MPI-M M.A. Giorgetta, E. Roeckner, L.
    Bonaventura(1), M. Esch, A. Gassmann, P. Korn, L.
    Kornblueh, H. Wan
  • DWD D. Majewski, Th. Heinze, P. Ripodas, B.
    Ritter, H. Frank, D. Liermann, U. Schättler, J.
    Steppeler
  • (1) Now at the Politecnico di Milano

2
Contents
  • Motivation
  • Development Plan
  • Perspectives
  • Summary

3
Motivation Dynamical cores are at the heart of
ESMs
  • Schematic view of the Earth System as we want to
    represent in numerical models
  • Dynamical cores are at the base of the general
    circulation models and their properties determine
    the quality of the solutions

4
Motivation at MPI Consistent cont. and transport
eq.
  • Original reason
  • Inherent problems with tracer mass conservation
    in the existing ECHAM5 atmospheric general
    circulation.
  • ECHAM5
  • Spectral transform dynamics with semi-implicit
    time stepping, Asselin time filter and hybrid
    vertical coordinate, global mass fixer
  • Gridpoint transport scheme (LinRood), which is
    mass conserving provided winds are derived from a
    mass conserving dynamics
  • Discretized continuity and transport equations
    are not consistent
  • Sinks/sources of tracer masses, unless
    corrected winds are used
  • No theoretical basis for correction of winds
  • Need for new dynamical core with consistent
    solution of continuity and transport equations.
  • Plan for a new global and regional model system

5
Motivation at DWD Extend the model system
  • Include more processes in operational models as
    necessary for the increased use of satellite
    radiances.GME is not mass conserving
  • Example ECMWF has extended the model to the
    stratosphere and included a (linearized) ozone
    scheme
  • Extended forecasts / seasonal forecasts requires
    coupled atmosphere ocean model.GME is not
    coupled to an ocean model
  • Need of a new model system
  • Joint ICON project of DWD and MPI-M

6
Goals of the ICON project of MPI-M and DWD
  • Develop a mass conserving dynamical core with
    consistent discretization of the continuity and
    transport equations
  • Use icosahedron for grid construction to allow a
    quasi uniform horizontal resolution (Sadourny,
    1968 GME, CSU, NICAM)
  • Hydrostatic and non-hydrostatic cores
  • Global and regional domain atmospheric models?
    unify codes for global and regional dynamics
  • Local mesh refinement in selected regions with
    conservative 2 way interaction (2 way nesting).
  • Use same grid structure discrete operators for
    ocean model

7
Global and regional Icosahedral grids
Icosahedron 12 vertices 20 equilateral triangles
  • Example for local grid refinement
  • Quasi uniform base gridicosahedron edge ? 6
    cell edges
  • 2 step refinement in a lat-lon regionover Europe
    by bi-section of edges1 triangle ? 4 ? 16

8
Development plan Done/Published In work To be
done
  • Shallow water model prototype
  • Grid generator
  • triangular grids based on icosahedron
  • Globally uniform refinement
  • Shallow water model (ICOSWP)
  • C-grid discretization (? Heinze)
  • Vector valued interpolation by radial basis
    function
  • Evaluation (? Bonaventura)
  • Williamson test suite
  • Benchmarking against STSWM and GMESWM (? Ripodas)
  • New data structure
  • Parallelization and refinement
  • Global and regional domains, boundaries
  • Great circle and small circle grids
    optimizations (? Heinze)
  • Shallow water model (ICOSWM)
  • Hydrostatic atmospheric model (ICOHAM)
  • Dynamical core

9
Perspectives
  • MPI-M
  • Single numerical modeling framework for
    atmosphere and ocean
  • ECHAM/MPIOM REMO ? ICONAM/ICONOM
  • DWD
  • GME LM ? ICONAM with global domain and regional
    refinement
  • ICONAM/ICONOM for seasonal forecasting

10
Summary
  • Shallow water models have been developed and
    evaluated for globally uniform grids
  • Next steps
  • Local grid refinement in shallow water model
  • Hydrostatic atmospheric dynamical core
  • To be discussed
  • Equations for non-hydrostatic atmospheric model

11
Documentation and Publications
  • http//www.icon.enes.org/
  • Publications
  • Bonaventura, L., L. Kornblueh, T. Heinze, and P.
    Ripodas, A semi-implicit method conserving mass
    and potential vorticity for the shallow water
    equations on the sphere, Int. J. Numer. Meth.
    Fluids, 47, 863-869, 2005.
  • Bonaventura, L., and T. Ringler, Analysis of
    discrete shallow-water models on geodesic
    Delaunay grids with C-type staggering, Mon. Wea.
    Rev., 133, 2351-2373, 2005.
  • Baudisch, J. , L. Bonaventura, A. Iske, E.
    Miglio, Matrix valued radial basis functions for
    local vector field reconstruction applications
    to computational fluid dynamic models, MOX Report
    75, 2006.
  • Wan, H., M. A. Giorgetta, and L. Bonaventura,
    Held-Suarez test with ECHAM5, Berichte zur
    Erdsystemforschung, 20, Max Planck Institute for
    Meteorology, Hamburg, Germany, pp. 41, 2006.
    (submitted to Mon. Wea. Rev.)
  • Manuscripts
  • Bonaventura et al., Wave dispersion and stability
    analysis for C-grid discretizations on triangular
    meshes

12
  • The End

13
C-grid discretization on icosahedral grids
  • Icosahedral grids and C-type discretization

Delaunay (triangular) and Voronoi
(hexagonal/pentagonal) grid at the first
refinement level.
Primal and dual cells in C grid staggering
on the triangular icosahedral grid. (i)
mass (l) normal velocity (v)
vorticity points
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