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Factors controlling the bifurcation structure of sea ice retreat
Author(s) -
Eisenman Ian
Publication year - 2012
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2011jd016164
Subject(s) - ice albedo feedback , sea ice , climatology , arctic ice pack , climate model , geology , drift ice , environmental science , forcing (mathematics) , sea ice concentration , climate change , cryosphere , arctic , atmospheric sciences , sea ice thickness , oceanography
The contrast in surface albedo between sea ice and open ocean suggests the possibility of an unstable climate state flanked by two separate stable climate states. Previous studies using idealized single‐column models and comprehensive climate models have considered the possibility of abrupt thresholds during sea ice retreat associated with such multiple states, and they have produced a wide range of results. When the climate is warmed such that the summer minimum Arctic sea ice cover reaches zero, some models smoothly transition to seasonally ice‐free conditions, others discontinuously transition to seasonally ice‐free conditions, and others discontinuously transition to annually ice‐free conditions. Among the models that simulate a continuous transition to seasonally ice‐free conditions, further warming causes some to smoothly lose the remaining wintertime‐only sea ice cover and others to discontinuously lose it. Here, we use a toy model representing the essential physics of thermodynamic sea ice in a single column to investigate the factors controlling which of these scenarios occurs. All of the scenarios are shown to be possible in the toy model when the parameters are varied, and physical mechanisms giving rise to each scenario are investigated. We find that parameter shifts that make ice thicker or open ocean warmer under a given climate forcing make models less prone to stable seasonally ice‐free conditions and more prone to bistability and hence bifurcations. The results are used to interpret differences in simulated sea ice stability in comprehensive climate models.

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