Decadal fluctuations in the climate of the North Atlantic-European region m
ay be influenced by interactions between the atmosphere and the Atlantic Oc
ean, possibly as parr of a coupled ocean-atmosphere mode of variability. Fo
r such a mode to exist, a consistent atmospheric response to fluctuations i
n North Atlantic sea surface temperatures (SST) is required. Furthermore, t
his response must provide feedbacks to the ocean. Whether a consistent resp
onse exists, and whether it yields the required feedbacks, are issues that
remain controversial. Here. these issues are addressed using a novel approa
ch to analyze an ensemble of six integrations of the Hadley Centre atmosphe
ric general circulation model HadAM1, all forced with observed global SSTs
and sea-ice extents for the period 1949-93.
Characterizing the forced atmospheric response is complicated by the presen
ce of internal variability. A generalization of principal component analysi
s is used to estimate the common forced response given the knowledge of int
ernal variability provided by the ensemble. In the North Atlantic region a
remote atmospheric response to El Nino-Southern Oscillation and a further r
esponse related to a tripole pattern in North Atlantic SST are identified.
The latter, which is most consistent in spring, involves atmospheric circul
ation changes over the entire region, including a dipole pattern in sea lev
el pressure often associated with the North Atlantic oscillation. Only over
the tropical/subtropical Atlantic, however, does it account for a substant
ial fraction of the total variance. How the atmospheric response could feed
back to affect the ocean, and in particular the SST tripole, is investigat
ed. Several potential feedbacks are identified but it has to be concluded t
hat, because of their marginal consistency between ensemble members, a coup
led mode that relied on these feedbacks would be susceptible to disruption
by internal atmospheric variability Notwithstanding this conclusion, the au
thors results suggest that predictions of SST evolution could be exploited
to predict some aspects of atmospheric variability over the North Atlantic,
including fluctuations in spring of the subtropical trade winds and the hi
gher latitude westerlies.