The common variance between 100-yr-long control runs from 11 coupled global
climate models (CGCMs) has been studied by use of common empirical orthogo
nal functions (EOFs). The results suggest that there is a considerable disp
arity between the CGCMs estimates of internal variability. About one-half o
f this difference can be attributed to model drift dr other low-frequency v
ariations in several of the models. However, even after accounting for this
effect it was found that the models can easily differ by a factor of 2 or
more for the energy levels in different EOF mode (wave) numbers, Comparison
with observations showed that no one model consistently reproduced the obs
erved partial eigenvalue spectrum. Again, differences between observed and
model energy levels were commonly a factor of 2 or more. It is speculated t
hat at least some of the disagreement is due to the relative coarse resolut
ion of the models used in this study.
Separate analysis of a 1000-yr control run of the Geophysical Fluid Dynamic
s Laboratory model suggested that intramodel variability is much smaller th
an intermodel variability. It was also found that an estimate of the anthro
pogenic signal due to greenhouse gases and aerosols from the Max Planck Ins
titute had strong spatial similarities to the leading modes of the models'
common EOFs. This fact complicates the detection/attribution problem.