Apart from
the first type of uncertainty, there is sigmoid uncertainty: the TCR will be different by region and by timespan and so will have slower and faster rates of change associated with it, sometimes stringing together as massive spikes, and always less predictable than we would desire.
The first type of uncertainty detective is the scientist who challenges existing theses and works to extend knowledge frontiers.
Not exact matches
The
first simulates the true temperatures, the second treats the measurement errors that would arise from this series from three different sources
of uncertainty: i) usual auto - regressive (AR)-
type short range errors, ii) missing data, iii) the «scale reduction factor».
Indeed, in your
first example you conflate the two
types of question, starting with a hypothesis «most
of the observed warming is anthropogenic» and concluding with an estimate
of proportion «My assignment allows the anthropogenic influence to be as large as 70 % and as small as 30 %, leaving plenty
of room for natural variability and
uncertainties.»