Ocean–atmosphere interactions largely control the variabilities of the
climate system on Earth. However, how much the atmospheric internal
signals contribute to climate variabilities is not yet known. Here, we
develop an interactive ensemble coupled model (called Hydra-SINTEX) to
investigate the influences of atmospheric internal variations (AIV) on
the mean-states and variability of the climate system. The results show
that, while the climatological mean-states are little affected, the AIV
can largely influence the variabilities of the climate over the globe.
We pay particular attention to two regions, i.e., the tropical eastern
Indian Ocean, which is the key area of the Indian Ocean Dipole (IOD),
and the subtropical North Pacific. We found that the variabilities of
sea surface temperature (SST) in these two regions are much reduced in
the absence of the AIV but with distinct mechanisms. Without the AIV,
the intensity of the IOD is largely reduced in association with weakened
air–sea coupling in the tropics. This indicates the importance of
atmospheric noise forcing on the development of the IOD. In contrast,
the reduction of the SST variability in the subtropical North Pacific,
where local air–sea interaction itself is weak, is caused by the
absence of the AIV that is generated by both the mid-latitude
atmospheric processes and the weakened remote influence of the tropical
SST in accordance with the reduced SST signals there.