Finite computer resources force compromises in the design of transient
numerical experiments with coupled atmosphere-ocean general circulati
on models which, in the case of global warming simulations, normally p
reclude a full integration from the undisturbed pre-industrial state.
The start of the integration at a later time from a climate state whic
h, in contrast to the true climate, is initially in equilibrium then i
nduces a cold start error. Using linear response theory a general expr
ession for the cold start error is derived. The theory is applied to t
he Hamburg CO2 scenario simulations. An attempt to estimate the global
-mean-temperature response function of the coupled model from the resp
onse of the model to a CO2 doubling was unsuccessful because of the no
n-linearity of the system. However, an alternative derivation, based o
n the transient simulation itself, yielded a cold start error which ex
plained the initial retardation of the Hamburg global warming curve re
lative to the IPCC results obtained with a simple box-diffusion-upwell
ing model. In the case of the sea level the behaviour of the model is
apparently more linear. The cold start error estimations based on a CO
2 doubling experiment and on an experiment with gradually increasing C
O2 (scenario A) are very similar and explain about two thirds of the c
oupled model retardation relative to the IPCC results.