A statistical technique developed to permit early detection of possible greenhouse warming. This method requires finding a multivariate signal (i.e. changes in a number of different climate parameters or changes in the same parameter at a number of different locations) unique to enhanced greenhouse effect model simulations and its accompanying identification in the observed climate record. Thus the method simultaneously satisfies two essential requirements, that the signal be both strong and unique.