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The ICON Earth System Model Version 1.0
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  • Johann H Jungclaus,
  • Stephan J. Lorenz,
  • Hauke Schmidt,
  • Oliver Gutjahr,
  • Helmuth Haak,
  • Carolin Mehlmann,
  • Uwe Mikolajewicz,
  • Dirk Notz,
  • Dian Putrashan,
  • Jin-Song von Storch,
  • Linardakis Leonidas,
  • Victor Brokvin,
  • Fatemeh Chegini,
  • Veronika Gayler,
  • Marco A. Giorgetta,
  • Stefan Hagemann,
  • Tatiana Ilyina,
  • Peter Korn,
  • Jürgen Kröger,
  • Wolfgang A. Müller,
  • Holger Pohlmann,
  • Thomas Jürgen Raddatz,
  • Lennart Ramme,
  • Reick H. Christian,
  • Rainer Schneck,
  • Reiner Schnur,
  • Bjorn Stevens,
  • Florian Andreas Ziemen,
  • Martin Claussen,
  • Jochem Marotzke,
  • Fabian Wachsmann,
  • Martin Schupfner,
  • Thomas Riddick,
  • Karl-Hermann Wieners,
  • Nils Brueggemann,
  • Rene Redler,
  • Philipp de Vrese,
  • Julia Esther Marlene Sophia Nabel,
  • Teffy Sam,
  • Moritz Hanke
Johann H Jungclaus
Max Planck Institute for Meteorology

Corresponding Author:[email protected]

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Stephan J. Lorenz
Max Planck Institute of Meteorology
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Hauke Schmidt
Max Planck Institute for Meteorology
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Oliver Gutjahr
Universität Hamburg
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Helmuth Haak
Max-Planck-Institut fuer Meteorologie
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Carolin Mehlmann
Max Planck Institute for Meteorology
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Uwe Mikolajewicz
Max Planck Institute for Meteorology
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Dirk Notz
Max Planck Institute for Meteorology
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Dian Putrashan
Max Planck Institute for Meteorology
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Jin-Song von Storch
Max-Plank Institute for Meteorology
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Linardakis Leonidas
Max Planck Institute for Meteorology (MPG)
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Victor Brokvin
Max Planck Institute for Meteorology
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Fatemeh Chegini
Max-Planck-Institute for Meteorology
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Veronika Gayler
Max Planck Institute for Meteorology
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Marco A. Giorgetta
Max Planck Institute for Meteorology
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Stefan Hagemann
Helmholtz-Zentrum Hereon
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Tatiana Ilyina
Max Planck Institute of Meteorology
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Peter Korn
MPI-Met
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Jürgen Kröger
Max Planck Institute for Meteorology
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Wolfgang A. Müller
Max Planck Institute for Meteorology
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Holger Pohlmann
Max Planck Institute for Meteorology
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Thomas Jürgen Raddatz
Max Planck Institute for Meteorology
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Lennart Ramme
Max-Planck-Institute for Meteorology
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Reick H. Christian
Max Planck Institute for Meteorology
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Rainer Schneck
Max Planck Institute for Meteorology
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Reiner Schnur
Max Planck Institute for Meteorology
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Bjorn Stevens
Max Planck Institute for Meteorology
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Florian Andreas Ziemen
Deutsches Klimarechenzentrum
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Martin Claussen
Max Planck Institute for Meteorology (MPG)
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Jochem Marotzke
Max Planck Institute for Meteorology
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Fabian Wachsmann
DKRZ
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Martin Schupfner
DKRZ
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Thomas Riddick
Max Planck Institute for Meteorology
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Karl-Hermann Wieners
Max Planck Institute for Meteorology
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Nils Brueggemann
Max Planck Institute for Meteorology
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Rene Redler
Max Planck Institute for Meteorology
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Philipp de Vrese
Max Planck Institute for Meteorology
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Julia Esther Marlene Sophia Nabel
Max Planck Institute for Meteorology
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Teffy Sam
Max Planck Institute for Meteorology
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Moritz Hanke
DKRZ
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Abstract

This work documents the ICON-Earth System Model (ICON-ESM V1.0), the first coupled model based on the ICON (ICOsahedral Non-hydrostatic) framework with its unstructured, isosahedral grid concept. The ICON-A atmosphere uses a nonhydrostatic dynamical core and the ocean model ICON-O builds on the same ICON infrastructure, but applies the Boussinesq and hydrostatic approximation. The oceanic carbon cycle and
biogeochemistry is represented by the HAMOCC6 module and the terrestrial biogeophysical and biogeochemical process are integrated in the new JSBACH4 module.
We describe the tuning and spin-up of a base-line version at a resolution typical for models participating in the Coupled Model Intercomparison Project (CMIP). The performance of ICON-ESM is assessed by means of a set of standard CMIP6 simulations. Achievements are well-balanced top-of-atmosphere radiation, stable key climate quantities in the control simulation, and a good representation of the historical surface temperature evolution. The model has overall biases, which are comparable to those of other CMIP models, but ICON-ESM performs less well than its predecessor, the MPI-ESM. Problematic biases are diagnosed in ICON-ESM in the vertical cloud distribution and the mean zonal wind field. In the ocean, sub-surface temperature and salinity biases are of concern as is a too strong seasonal cycle of the sea-ice cover in both hemispheres. ICON-ESM V1.0 serves as a basis for further developments that will take advantage of ICON-specific properties such as spatially varying resolution, and coupled configurations at very high resolution.
Apr 2022Published in Journal of Advances in Modeling Earth Systems volume 14 issue 4. 10.1029/2021MS002813