Climate change in terms of modes of atmospheric variability and circulation regimes over southern South America

• Published in: Climate dynamics Vol. 26; no. 7-8; pp. 835 - 854
• Main Authors: SOLMAN, Silvina A, LE TREUT, Herve
• Format: Journal Article
• Language: English
• Published: Heidelberg Springer 01.06.2006; Berlin Springer Nature B.V
• Subjects: Atmospheric circulation; Climate change; Climatology. Bioclimatology. Climate change; Earth, ocean, space; Exact sciences and technology; External geophysics; Meteorology; Variability; South America; South America; time variations; General circulation models; digital simulation; Long term variation; Antarctic oscillation; greenhouse gas; Interannual variation; Dynamical climatology; Ocean-atmosphere model; climate modification; global change; Interdecadal variation; Air pollution; Frequency spectrum; spatial variations; Forcing; atmospheric circulation; Anthropogenic factor
• ISSN: 0930-7575; 1432-0894
• DOI: 10.1007/s00382-005-0107-3

The simulated low-frequency variability patterns of the atmospheric circulation, ranging from interannual to interdecadal timescales, are studied in an area encompassing southern South America. The experiment is a transient simulation performed with the IPSL CCM2 coupled global model, in which the greenhouse forcing is continuously increasing. The main modes of low-frequency variability are found to remain stationary throughout the simulation, suggesting they depend more on the internal dynamics of the atmospheric flow than on its external forcing. Inspection of the circulation regimes that represent the more recurrent patterns at interannual and interdecadal timescales showed that climate change manifests itself as a change in regime population, suggesting that the negative phase of the Antarctic Oscillation-like pattern becomes more frequented in a climate change scenario. Changes of regime occurrence are superimposed to a positive trend whose spatial pattern is reminiscent of the structure of the Antarctic Oscillation-mode of variability. Moreover, it resembles the spatial patterns of those regimes that show a significant change in population. The change in regime frequencies of the circulation patterns of low-frequency variability are in opposite phase with respect to the trend, thus, the behaviour of these patterns of variability, superimposed to a changing mean state, modulates the climate change signal. The analysis of the high frequencies, in terms of recurrent patterns representing intraseasonal and synoptic-scale of variability, shows no significant changes in regime characteristics, concerning both spatial and temporal behaviour.