CoolSceptic
Muse
- Joined
- Mar 6, 2008
- Messages
- 689
You're kidding me. Did you actually read the paper? Merely changing the version of the instrumental series halved the magnitude of the effect he measured. And let's be clear here: when I say "changing the version", I don't mean swapping CRU for GISS or some such. I mean swapping CRU v3 for CRU v2. HALVES the magnitude of effect he observed, reducing the variance factor to just over two. Kudos to Halley for being honest and including this result (shame there was no indication of this in the abstract) rather than burying it, though.That's a rather creative interpretation of what Halley wrote. He did say that paleoclimate reconstructions are imprecise, but also found that they would need to be underestimating the variance by a factor of 4 before in order for it to be at all plausible for the recent warming to be within the bounds of natural variability.
Halley attributes this to sampling, and whilst this is a reasonable speculation, I cannot see how he can dismiss other reasons, such as changes to the CRU algorithm itself, to which his parameter estimates are extremely sensitive.
This has a consequence though: it is clear that the error bounds on his estimates of the LTP behaviour are way too small, for such a large change in result to be caused by what should have been a trivial change in input data. It is clear that there is a source of error here which is not understood and not accounted for properly.
(As an aside: since Halley uniquely relies on the CRU instrumental series, technically it is not admissable on this thread, as we are supposed to be discussing what if CRU were not available. Of course, Cohn and Lins would also have to go. But then, much of Koutsoyiannis work would still stand!)
Halley goes on to point out that if the instrumental series is undersampled, then the palaeoclimate reconstructions are also likely to suffer from the same problem. He then points out that it has been argued that there is a systematic underestimate of these temperature reconstructions (citing von Storch's demo that variance matching of a noisy signal to the instrumental series suppresses historical variability) and outlines what must be done to build confidence in this. He accepts in the paper that the present reconstructions are inadequate for drawing clear conclusions. (I would similarly suggest that the huge sensitivity of the result to instrumental versions show that these records do not yield parameter estimates acccurately enough for such an analysis either).
Of course, you only learn this by reading the paper itself. Those who merely read the abstract might be under the sort of impression that you give here.
