You can also
account for possible errors
in the amplitudes of the external forcing and the model response by scaling the signal patterns to best match the observations without influencing the attribution from fingerprinting methods, and this provides a more robust framework for attributing signals
than simply looking
at the
time history of global temperature
in models and obs and seeing if they match up or not.