The influence of Southern Hemisphere sea‐ice extent on the latitude of the mid‐latitude jet stream

[1] An atmospheric general circulation model with prescribed sea‐ice and sea‐surface temperatures is used to examine the sensitivity of the atmospheric circulation to changes in sea‐ice extent in the Southern Hemisphere. Experiments are conducted where the sea‐ice edge is expanded or contracted by 7...

Full description

Bibliographic Details
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.677.1920
http://web.science.unsw.edu.au/%7Ematthew/Kidston_etal_2011.pdf
Description
Summary:[1] An atmospheric general circulation model with prescribed sea‐ice and sea‐surface temperatures is used to examine the sensitivity of the atmospheric circulation to changes in sea‐ice extent in the Southern Hemisphere. Experiments are conducted where the sea‐ice edge is expanded or contracted by 7 degrees of latitude compared with its position in a control run. The experiments suggest that the latitude of the sea‐ice edge influences the latitude of the Southern Hemisphere mid‐latitude jet stream, but that the amplitude of the atmospheric response depends critically on the location and seasonality of the sea‐ice anomalies. During the cold season, the mid‐latitude jet shifts significantly poleward when the sea‐ice extent is increased, but exhibits very little response when the sea‐ ice extent is decreased. During the warm season, the jet does not shift significantly regardless of whether the sea‐ ice edge is extended or contracted. The cause of the asymmetry in the atmospheric response relates to the extent to which the sea‐ice anomalies affect meridional temperature gradients in the near‐surface baroclinic zone. The results suggest that 1) any future decreases in Antarctic sea‐ice are unlikely to have a profound effect on the Southern Hemisphere mid‐latitude circulation; and 2) the usefulness of sea‐ice variability for seasonal prediction is limited to the cold season and to the case of increases in