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\section{Methods}  Results discussed here are obtained from the output of a large IC ensemble experiment documented in detail in. in \citet[ch. 3]{Tesis2015}.  For the this  experiment the Community Climate System Model, version 4 \citep[CCSM4;][]{Gent2011}  was run in a ``fully coupled'' configuration. This includes the following components: atmosphere, land, ocean, sea ice and river run-off. In order to minimise computational expense, the lowest resolution (\texttt{f45gx3}; implying that the atmospheric component is run with a $4\times5\0{}$ finite-volume dynamic core) on which the fully coupled model can be run, is used. For simplicity, only four of the ensembles run for that study are considered here; their relation to one another is illustrated in Figure \ref{Figure:ExperimentalDesign}. These ensembles were all run at the South African Centre for High Performance Computing (CHPC), where a 1600-year present-day control run (PDC) was performed, to serve as a basis for ensembles to be  ``branched'' off from. Each new ensemble uses as ICs output produced at a particular model year by a previous run run,  for all model components. Atmosphericair  temperature is perturbed to distinguish individual ensemble members from one another. Individual ensembles are named according to corresponding control run model year (i.e. the number of years for which ocean circulation has been active) at their initialisation.