More accurately, Spencer has to choose a short time interval to get the result he wants....
You really can be amusing, Capel. I hand it to you for that. But what "he wants" if he's a scientist, is decent results on the Durbin-Watson statistical measure over offset time periods. I assume that's in line with what he's got.
That's what he says he's got (although in the articles so far he doesn't mention that particular test).
I'm not even sure that Spencer has found evidence of strong negative feed backs, that's the problem. And he has limited data, with a new method, and he hasn't applied his method to other data sets. He thinks his simple model can explain it, but I didn't see anything in there about attribution of those loops. ....
Valid points, although attribution was pretty much handled in the 2008 paper I linked to, in GRL I think it was. I'd like to see a rigorous proof of the validity of short term climate data for seven odd years being of merit, or if not, then the confidence levels of the results with that time period.
.... Tsonis is saying that the climate shift in the 70's could be a result of convergent climate modes shifting the climate state, and superimposed on anthropogenic warming. If Spencer is right, then we shouldn't even see major variations in climate.
You're trapped in a corner if you simultaneously think that the climate is insensitive to radiative forcing due to increased atmospheric opacity, but that the observed warming can be modeled by intrinsic natural variability.
Here I may differ from you, because these seem completely congruous to me. Which is why I brought Tsonis up. In fact, Tsonis suggested lower sensitivity as a solution to the riddle.
If for example we have
Global(T) = y1*f(A,B,C,D)+y2*f(R)
where A,B,C, and D are independently varying ocean cyclic effects multidecadal and R is radiative forcing
Then this is opposed to constants used in a simplied "Warmer view" relevant to the discussion of
Global(T) = y3*f(CO2) + y4*f(aerosols)
Where the first term is considered positive, the second negative, and the net effect covers the cooling and warming periods of the last 60 years.
For convenience I've added the constants y1..y4 so that one can see how the two equations may be equalized by changing the ratios. It just adds up to higher or lower natural variability and higher or lower greenhouse effects.
If there's a trap in the corner I'm not seeing it. Of course I've blundered into a few corners, too.