We report a new approach to climate change detection and attribution u
sing an atmospheric general circulation model (AGCM), complementary to
the traditional approach using coupled ocean-atmosphere models (CGCM)
. Ensembles of simulations were run with an AGCM forced with the obser
ved history of sea-surface temperature (SST) and sea-ice extent and re
peated with a variety of forcing factors added incrementally. SST chan
ges alone give a warming of only about 0.15 degrees C in annual global
land surface air temperature between 1950 and 1994. Addition of chang
ing greenhouse gases, including off-line calculations of tropospheric
ozone, give a further warming of 0.15 degrees C, still 0.2 degrees C l
ess than observed. This deficit in warming derives from the Northern H
emisphere (NH) winter half-year as the summer half-year NH temperature
is well-simulated. In the lower stratosphere,little cooling is simula
ted using the observed changes of SST alone but increasing the concent
ration of greenhouse gases and decreasing the concentration of stratos
pheric ozone leads to a cooling close to that observed. Inclusion of c
hanges to tropospheric ozone with other forcing factors, the first tim
e this has been attempted, gives good simulations of tropospheric and
stratospheric temperature changes; these are significantly more simila
r to observations than using SST variations alone. Despite the uncerta
inties, these simulations strongly indicate a discernible anthropogeni
c effect on the annual mean thermal structure of the atmosphere, the f
irst time this has been shown in the presence of the observed variatio
ns of SST and sea-ice extent.