Eight test cases were constructed and an ensemble of USHCN analyses were undertaken,
varying uncertain parameters within the algorithm.
Not exact matches
The nature of the tuning also matters: allowing an
uncertain parameter to
vary within reasonable bounds and picking the value that gives the best result, is quite different to inserting completely artificial fluxes to correct for biases.
It is pretty clear that the model for the process governing Sun spot occurrence is the correct one, even if the parameterization is somewhat statistically
uncertain (and even if some
parameters may be randomly or deterministically
varying slowly and / or narrowly in time, as well as the precise frequency distribution of noise energy, though we really only care about that within a narrow band around the resonances).
In perturbed physics projections, «a single model structure is used and perturbations are made to
uncertain physical
parameters within that structure...» [5] That is, a perturbed physics experiment shows the variation in climate projections as model
parameters are
varied step-wise across their physical uncertainty.