2013
DOI: 10.5194/tc-7-451-2013
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How does internal variability influence the ability of CMIP5 models to reproduce the recent trend in Southern Ocean sea ice extent?

Abstract: Abstract.Observations over the last 30 yr have shown that the sea ice extent in the Southern Ocean has slightly increased since 1979. Mechanisms responsible for this positive trend have not been well established yet. In this study we tackle two related issues: is the observed positive trend compatible with the internal variability of the system, and do the models agree with what we know about the observed internal variability? For that purpose, we analyse the evolution of sea ice around the Antarctic simulated… Show more

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Cited by 156 publications
(177 citation statements)
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References 53 publications
(73 reference statements)
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“…However, when forced by estimates of observed external forcing the climate models, which participated in phase 3 of the Coupled Model Intercomparison Project (CMIP3), in the ensemble mean simulate surface warming everywhere over the Southern Ocean during 1979-2005(Hegerl et al 2007.6), whereas surface cooling was observed over large parts of the Southern Ocean during this time. The same holds for the Antarctic sea ice extent, which is simulated to retreat during the recent decades by most CMIP5 models as discussed by Zunz et al (2013). The differences between the models and observations could be caused by internal variability, which can temporarily offset the effects of global warming.…”
Section: Introductionmentioning
confidence: 71%
“…However, when forced by estimates of observed external forcing the climate models, which participated in phase 3 of the Coupled Model Intercomparison Project (CMIP3), in the ensemble mean simulate surface warming everywhere over the Southern Ocean during 1979-2005(Hegerl et al 2007.6), whereas surface cooling was observed over large parts of the Southern Ocean during this time. The same holds for the Antarctic sea ice extent, which is simulated to retreat during the recent decades by most CMIP5 models as discussed by Zunz et al (2013). The differences between the models and observations could be caused by internal variability, which can temporarily offset the effects of global warming.…”
Section: Introductionmentioning
confidence: 71%
“…The current generation of climate models almost all fail to capture this increase, while the decrease in Arctic sea ice is much better reproduced Zunz et al, 2013;Shu et al, 2015], suggesting that the models poorly represent the physical process's governing Antarctic sea ice. Moreover, considerable uncertainty still exists as to whether this increase is caused by natural variability or anthropogenic forcings (or some combination), as these factors are known to induce changes to Antarctic sea ice by altering the atmospheric circulation [Yuan and Martinson, 2001;Stammerjohn et al, 2008;Turner et al, 2009;Simpkins et al, 2012;Polvani and Smith, 2013;Zunz et al, 2013;Barnes et al, 2014;Li et al, 2014;Ferreira et al, 2015;Meehl et al, 2016].…”
Section: Introductionmentioning
confidence: 99%
“…Finally, the observed cooling of SST around Antarctica is postulated to be only an initial response to atmospheric changes and may indeed lead to warming in future periods (Marshall et al 2014;Ferreira et al 2015). The role of internal variability in the current observations also remains unclear (Zunz et al 2013). It has been proposed that these recent observational trends may in fact originate from internal variability on decadal to centennial time scales Latif et al 2013;Zunz et al 2013;Fan et al 2014) rather than external anthropogenic influences.…”
mentioning
confidence: 99%
“…The role of internal variability in the current observations also remains unclear (Zunz et al 2013). It has been proposed that these recent observational trends may in fact originate from internal variability on decadal to centennial time scales Latif et al 2013;Zunz et al 2013;Fan et al 2014) rather than external anthropogenic influences.…”
mentioning
confidence: 99%