There is another potential concern besides the inferred data (which, as you say, should be reasonable), though I don't know how much it would affect any of the larger conclusions (if they are affected at all).
[also, this reference is somewhat old now; I haven't checked if this problem has been addressed in more recent models]
There is evidence[1] that the climate model software doesn't handle floating point properly (which is, unfortunately, a very common problem).
"... there exist differences in the results for different ... parallel
libraries, and optimization levels, primarily a result of the treatment
of rounding errors ... the ensemble spread due to the differences in
software system is comparable to the ensemble spread due to the
differences in initial conditions ..."
Rounding errors on different hardware, operation ordering, and optimization level screams that the software isn't properly handling[2] IEEE 754 floating point. This
could be a serious problem in an iterated model that is chaotically sensitive to initial conditions (hence the use of ensemble forecasting).
/* regardless, we need a lot thorium reactors ASAP */
[1] http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-12-00352.1
[2] (pdf) https://ece.uwaterloo.ca/~dwharder/NumericalAnalysis/02Numer...