The identification of an observed climate signal with a structure characteristic of a predicted climate change. The fingerprint method requires the analysis of a multivariate signal, involving changes in a single climate variable at many places or levels in the atmosphere, or changes in two or more different variables. This method is used in attempts to attribute observed climate change to a given cause, such as increased greenhouse gas concentrations.