Evaluation of the sea ice simulation in a new coupled atmosphere-ocean climate model (HadGEM1)

  1. A. J. McLaren1,
  2. H. T. Banks1,
  3. C. F. Durman1,
  4. J. M. Gregory1,5,
  5. T. C. Johns1,
  6. A. B. Keen1,
  7. J. K. Ridley1,
  8. M. J. Roberts1,
  9. W. H. Lipscomb2,
  10. W. M. Connolley3,
  11. S. W. Laxon4

Article first published online: 19 DEC 2006

DOI: 10.1029/2005JC003033

Issue

Journal of Geophysical Research: Oceans (1978–2012)

Journal of Geophysical Research: Oceans (1978–2012)

Additional Information

How to Cite

McLaren, A. J., et al. (2006), Evaluation of the sea ice simulation in a new coupled atmosphere-ocean climate model (HadGEM1), J. Geophys. Res., 111, C12014, doi:10.1029/2005JC003033.

Author Information

  1. 1

    Met Office, Hadley Centre, Exeter, UK

  2. 2

    Group T-3, Los Alamos National Laboratory, Los Alamos, New Mexico, USA

  3. 3

    British Antarctic Survey, Cambridge, UK

  4. 4

    Centre for Polar Observation and Modeling, University College London, London, UK

  5. 5

    Also at NCAS Centre for Global Atmospheric Modeling, Department of Meteorology, University of Reading, Reading, UK.

Publication History

  1. Issue published online: 19 DEC 2006
  2. Article first published online: 19 DEC 2006
  3. Manuscript Accepted: 12 JUL 2006
  4. Manuscript Revised: 15 JUN 2006
  5. Manuscript Received: 28 APR 2005

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Keywords:

  • sea ice;
  • modeling;
  • global

[1] A rapid increase in the variety, quality, and quantity of observations in polar regions is leading to a significant improvement in the understanding of sea ice dynamic and thermodynamic processes and their representation in global climate models. We assess the simulation of sea ice in the new Hadley Centre Global Environmental Model (HadGEM1) against the latest available observations. The HadGEM1 sea ice component uses elastic-viscous-plastic dynamics, multiple ice thickness categories, and zero-layer thermodynamics. The model evaluation is focused on the mean state of the key variables of ice concentration, thickness, velocity, and albedo. The model shows good agreement with observational data sets. The variability of the ice forced by the North Atlantic Oscillation is also found to agree with observations.

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