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Analyses of modelled sea ice and its variability in the Arctic and the Antarctic climate systems

PI: David Salas
Institution: Météo France
Abstract:
Coupled GCMs have improved a lot during the recent years. In particular most of them now include a state of the art sea ice component. The goal of this project are to:

(i) assess how well the different models simulate sea ice in the Arctic and Antarctic climate systems (in terms of mean state and coupled variability), based on observational data, and why the spread between models is still relatively large.

(ii) detect abrupt sea ice changes in climate change scenarios and stabilization experiments, suggest possible mechanisms for these, assess their regional impacts and evaluate if the climate system recovers from these particular events.

(iii) compare observed and simulated late 20th century sea ice variability to projected sea ice variability in transient climate change experiments and stabilisation experiments.
Publications:
  • Guemas V. and D. Salas-Mélia, 2007: Simulation of the Atlantic meridional overturning circulation in an atmosphere-ocean global coupled model. Part I: a mechanism governing the variability of ocean convection in a preindustrial experiment. Clim. Dyn., DOI : 10.1007/s00382-007-0336-8. Abstract. Edit.
  • Guemas V. and D. Salas-Mélia, 2007: Simulation of the Atlantic meridional overturning circulation in an atmosphere-ocean global coupled model. Part II : weakening in a climate change experiment: a feedback mechanism. Clim. Dyn., DOI : 10.1007/s00382-007-0328-8. Abstract. Edit.

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