A data-model intercomparison study of Arctic sea-ice variability

@inproceedings{ArmstrongADI,
  title={A data-model intercomparison study of Arctic sea-ice variability},
  author={Amy E. Armstrong and L Tremblay and Lawrence A. Mysak}
}
The dynamic-thermodynamic granular rheology sea-ice model of Tremblay and Mysak is validated against 40 years of observed sea-ice concentration (SIC) data. Subsequently, the mechanisms responsible for producing SIC anomalies in the model are evaluated by studying the coupled variance (using the singular value decomposition method, SVD) between the simulated SIC anomalies and the ice speed and air temperature anomalies. To execute this validation, a 49-year (1949– 97) simulation (including a 9… CONTINUE READING