Not exact matches
The
asymptote seems to be ~ 1.0 which pretty much catches up
with where sceptics are these days.
What would happen if you repeatedly used the posterior as a «so called» expert prior (e. g. update your prior
with your posterior until it either collapses to a delta dirac like spike or has continuous drift or does it reach an
asymptote (prior matches posterior).
That is,
with greater sensitivity the climate system warms more quickly, but because it ultimately reaches a higher temperature, getting to that
asymptote may take longer than
with lesser sensitivity.)
If you push hard on a logistical curve, the result is just an oscillation about an
asymptote with a decaying amplitude.
Try this simple experiment
with your single body model — input the forcing as a sine wave
with fixed forcing amplitude and predict the temperature response, which should
asymptote to a sinusoidal form.
As shown in Fig. 3, the EDoF of model ensembles increases
with increasing number of ensemble members, appearing to
asymptote to a relatively small value for some ensembles, but continuing to increase in other cases.