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Comment 33;
Forgetting for a moment that none of those lines is what it purports to be … just take the whole mess at face value. What I see is this:
1) The caption is proven false by the graphic it allegedly describes. “… all suggest that it is warmer now than at any time in the last 1000 years”. No they dont all suggest that. Their ‘Esper 2002′ line suggests that it is no warmer now than at any time in the last 1000 years, and the ‘Juckes 2006′ graph says that it is cooler now than at least three past temp peaks. And many of the rest show current temps within ~0.1C of some pre-SUV peak … certainly within error.
2) Speaking of error, apart from the ‘Crowley 2000′ splice job, all ‘temperature reconstructions’ miss the ‘Direct measurements’ of the latest temperature by ~0.8C.
3) The error in 2) is pretty well matched by the typical discrepancy between the high and low estimates for any particular time in the last 1000 years, which seems to hover around 0.6C.
4) Uh, arent the errors in 2) and 3) approximately the same size as the alleged measured warming that is going to kill us all?
5) (-1.0C) – (-0.8C) = 0.4C
This is ‘The New Scientist’? Seems like ‘The Emperors New Tailor’ to me.
I don’t know why it’s so hard to understand that nothing is a valid proxy for temperature unless there is a rigorous derivation of a temperature metric from the observable. This is the case for oxygen isotope fractionation. It’s not the case for tree ring widths or densities. Divergence raises the issue that the correlations could well be empirical happenstance. What divergence “proves” is that maybe tree rings correlate with temperature, and maybe they don’t. It proves that tree rings, as such, are not worthy of blind trust or qualitative justificationisms.
Only a derivation from theory will establish the issue, one way or the other. Until then, it’s all just shouting.
Some time ago on CA I discussed with Paul Dennis a 13-C kinetics approach to derivation of a true temperature from tree wood. If that worked out, it would be a method of deriving a valid temperature metric from ring wood that is independent of ring width and ring density. It would suffer from its own suite of confounding variables, primarily to do with night-time respiration, but it would be a physically valid metric on the same order as 18-O fractionation in ice cores. But I’ll bet no one is working on any such thing. If Rob Wilson or anyone else really loved their field of dendroclimatology and wanted to bring quantitative rigor to it, they’d be working on a project like that. Derive a valid temperature from wood from quantitative physical theory. Not doing one more hand-wavingly justified, speciously normalized, pseudo-temperature publicizing, tree ring study. Those things are nothing more than mathematically embellished propaganda for dendroclimatology groups — look guys, at what we did this time! Isn’t it fun!
In other areas of science, people who publish conflicting results argue about them in terms of theory until a clear winner emerges. And the winning idea is ultimately the one grounded most firmly in objective theory. Those spaghetti graphs all claim — each and every one — to tell a single story. However, they clearly have different story-lines, and the set we see doesn’t exhaust all the possible, equivalently pseudo-justifiable, story-lines. They are conflicting results that should cause the groups of origin to argue vigorously about who is right or wrong in terms of applicable theory. But that doesn’t seem to happen, perhaps because there is no applicable theory. Instead we get uncritical composite plots like Rob Wilson’s, or like the lovely IPCC hash that John A reproduced in #65, and various new proxy studies that merely present some new compilation of trees and cores representing yet one more soon-to-be-bypassed statement about past pseudo-temperatures. It’s a scientific scandal.
While I am happy to discuss this elsewhere, the reason that it is important to the current topic is that we have several “global mean temperature” dataesets, which show both different trends and different anomalies. Because “global mean temperature” has no agreed upon meaning, none of these datasets is theoretically superior to any other. This has a couple of effects.
1) People are free to choose which “global mean temperature” dataset they wish to use to compare and fit their proxy data … which in turn changes the result of the proxy exercise in whatever direction they may prefer.
2) It increases the uncertainty of both the data and the proxy reconstruction. For example, even using a single dataset, an average of all of the stations in the world shows a different trend than averaging the hemispheres individually and then averaging the two hemispheres. Which one is correct? We can’t say, there is no theoretical reason to prefer one over the other, but it certainly must increase the uncertainty of whichever one we may choose.
For example, were all of the various proxies in the graphic above done using the same “global mean temperature” dataset? I would doubt it, although I don’t know … but if they are not, it must perforce increase the uncertainty.
Thus concludes today’s scientific consensus moment.
Thankyou.
h/t