Arctic sea ice variability: Model sensitivities and a multidecadal simulation Academic Article uri icon

abstract

  • The statistical model response, evaluated in terms of certain metrics or integrated features of the ice model output, is a function of a selected set of d (= 13) prescribed parameters of the ice model and is therefore equivalent to a d-dimensional surface. The d parameters of the ice model are varied simultaneously in the sensitivity tests. The ice model results indicate that 1) interannual variability is a major contributor to the differences of ice thickness and extent over timescales of a decade or less, and 2) the timescales of ice thickness anomalies are much longer than those of ice-covered areas. However, the simulated variations of ice coverage have less than 50% of their variance in common with observational data, and the temporal correlations between simulated and observed anomalies of ice coverage vary strongly with longitude. -from Authors

author list (cited authors)

  • Chapman, W. L., Welch, W. J., Bowman, K. P., Sacks, J., & Walsh, J. E.

citation count

  • 50

publication date

  • January 1994