I also find that, if your model fails to match reality, your model is wrong - not your reality.
Fitting the model to the reality - a problem with climatologists is that you have plug-in values that allows a lot of flexibility to the presumption that CO2 explains variation in global temperature. So, what you mean is predictive ability. GIVEN a model fitted with data from the past, how well does it predict the future (or “hold out” data, perhaps the unknown past). On the basis of zero predictive ability, you can say that climatology has embarrassed himself in public.