Paul Nurse and his Extra-Special Big Boy Pants

As a change from my Briffa reconsideration, I was intrigued by the recent correspondence between Nigel Lawson and Paul Nurse, President of the Royal Society, discussed from time to time at Bishop Hill, most recently here. Continue reading

Evasions and Fantasy at Real Climate

Several readers have asked me to respond to recent comments about me at Real Climate: briefly, Osborn has made one misrepresentation after another and made statements with seemingly complete indifference as to whether he has any basis for making the claims.

In respect to Schmidt’s whinge, as Lucia sagely observed a couple of years ago in connection with Schmidt’s defence of upside-down Tiljander, one cannot assume that people actually asked the questions that Schmidt says they asked or that his answers are adequate because he says so:

I might suggest that you are assuming that people asked the questions Gavin says they asked, and that Gavin’s answer to their questions is adequate because Gavin tells us his answer is adequate.

Schmidt and Osborn’s most recent comments were on July 2, the last day that comments were open on the thread, otherwise I would have attempted to respond at Real Climate. Unfortunately it takes more time to respond to their fantasies than it does for them to make them.
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Treeline Changes and Altitude Inhomogeneity

The apparent inconsistency of ring width chronologies with analysis of changes in treeline elevation has long been an issue that I’ve urged specialists to address. Unfortunately Briffa et al 2013 failed to address the inconsistency at Polar Urals, even though they took note of an obsolete Shiyatov article on treeline changes. (More recent work by Shiyatov’s group has reported that medieval treelines at Polar Urals were even higher than previously thought.)

Worse, there have been significant changes in treeline at Polar Urals over the past 1500 years, an inhomogeneity that needs to be considered in RCS standardization. With the indecisiveness that is so characteristic of Briffa’s work, Briffa et al 2013 noted the possibility of altitude inhomogeneity, but then failed to investigate the problem or demonstrate that they could ignore the inhomogeneity. Continue reading

CRU Abandons Yamal Superstick

Unreported by CRU is that they’ve resiled from the Yamal superstick of Briffa 2000 and Briffa et al 2008 and now advocate a Yamal chronology, the modern portion of which is remarkably similar to the calculations in my posts of September 2009 here and May 2012 here, both of which were reviled by Real Climate at the time.

In today’s post, I’ll demonstrate the degree to which the new Briffa version has departed from the superstick of Briffa 2000 and Briffa et al 2008 and the surprising degree to which it approaches versions shown at CA.
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Shiyatov and the Polar Urals

Nearly all readers agreed with the proposal (of my most recent post) for a comprehensive mapping and crossdating of all dead and living trees within one or more altitudinal transects in the Polar Urals, with the objective of achieving a crossdated dataset of at least 1000 subfossil trees and 500 living trees, each with accurately recorded coordinates and altitude. As opposed to the puny dataset used in the CRU chronology, which has less than 10% of this population and which, as archived, lacks accurate location and altitude information.

Several readers speculated that the costs of such a dataset would not be all that large and ought to be within the reach of the enormous climate science budgets. Rob Wilson wrote in – from the perspective of a practising (and, in contrast to CRU, actively collecting) dendro – saying that neither should the costs of such a program be under-estimated nor the difficulty in getting funding, concluding that such difficulties were the major factor in the shortage of long high-latitude chronologies:

As a quick response to Steve’s idealised approach. Yup – all well and good and I agree with it all. The reality is that for such replication requires multiple fieldtrips, several years (decades for Scandinavian work for example) and funding (plus bods on the ground). The reality is not so easy and funding is far from easy to acquire if you are considering, fieldwork, analytical costs (RW, MXD, isotopes etc), salaries etc. That is why there are so few millennial long chronologies from the high latitudes. The material is waiting there to be collected.

In a comment to the post, I observed that there was a punch line to it, a clue which a few readers understood but many didn’t.

The punch line is this: according to articles in peer-reviewed academic literature, the proposed comprehensive survey has already been done. (Indeed, the description of the recommended program was taken almost literally from an article by Stepan Shiyatov, who deserves great credit for carrying out a scientifically rational program for over 50 years under what must have been difficult circumstances.

In today’s post, I’ll summarize the extent of the Shiyatov dataset. (As a caveat, today’s post relies on information in peer reviewed academic literature; I have not personally had access to a digital version of Shiytov’s data.)
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An RC Question about Briffa et al 2013

A commenter at Real Climate asked the following interesting question about the Urals/Yamal area reported in Briffa et al 2013:

So, for this region, what data do you wish you had, that could be plausibly gotten (i.e, not like 1000-year-old measured temperature records), that you don’t have? And why?

Jim Bouldin of RC described the question as an “excellent” one and on this point, RC and I are in agreement. It’s one that I have some ideas on.

On the surface, the Polar Urals are an almost ideal location for temperature-sensitive dendro. They are high latitude and high altitude. Within a distance of a kilometer or so, one can go from closed forest to alpine tundra. Subfossil trees are plentiful. Despite this plenty, Briffa et al 2013 use a very small dataset of subfossil trees, the limited coverage being exacerbated by their exclusion of 21 of 73 trees as being “root collars”. Due to their very small sample, CRU ends up with only two trees in part of the 11th century – a critical period in the modern-medieval comparison. There is an obvious need for more data.

In addition, there is an urgent need for accurate metadata, especially on the altitude of indovidual samples. Altitude is an important factor in local tree growth (as one can see by the sharp altitudinal gradient to the treeline), but the CRU metadata does not include the altitude of individual trees. Briffa et al 2013 does not even provide accurate information on the location of the sites used in its Polar Urals chronology. Altitude changes of samples are an important potential inhomogeneity that can only be addressed through accurate metadata, an issue apparently neglected in Briffa et al 2013 which splices living tree data from sites whose altitude appears to be materially lower than the reported altitude of the subfossil samples.

One relatively easy way of improving the situation would be to do extremely detailed map and measurements along the lines of what a geologist would do at a geological outcrop. The program described below may seem very detailed by dendro standards, but I’m convinced that it could be done at a reasonable cost and would result in an exemplary dendro data set.

The first step would be to mark out an altitudinal transect going from the alpine tundra to the closed forest. From Google Earth, it looks to me like this would be less than a km (say 800 m) A transect of width of 20 meters would be a workable width, giving a transect area of about 1.6 hectares, a practical area for detailed mapping. Geologists would mark the boundaries of the transect, perhaps with small cairns of stones at key points.

The next step would be to do a high-resolution map (say 1 cm map to 1 meter) on which the location of EVERY dead and living tree in the transect would be recorded. Information on each tree (height, etc…) should be recorded. Even if there are 5000 living trees and 1200 dead trees, this is a practical number. Geologists do this wort of detailed mapping all the time.

Next, the mappers could cut a cross-section from every dead tree and (say) 15% of the living trees, measure ring widths of the cores back at their lab and crossdate the cores using standard dendro techniques. Some proportion of the cores would not be crossdatable (especially those with relatively few rings), but suppose that 80% were crossdatable.

One would then end up with a data base of more than 800 crossdated subfossil cores and more than 500 crossdated living trees, each with exact coordinates and altitude. From our experience at Almagre, we know that a single dendro can collect tens of cores per working day and that the measurement of ring widths is automated and can be done relatively inexpensively. If “root collars” are the form in which subfossil data is available for older stunmps (e.g. medieval), then it would be prudent to sample living trees and standing dead trees at root collar as well as chest level, to facilitate analysis, rather than simply rejecting root collar data. While bending over may be a slight imposition on field dendros, geologists regularly bend over to examine rocks and I’m sure that dendros could be found to take cores at root collar as well as chest level. If not, I’d suggest that some field geologists be trained to do root collar cores.

I realize that this is an optimistic proposal. CRU dendros prefer to stay in East Anglia. Indeed, to my knowledge, no CRU dendro has ever even been to Yamal or Polar Urals. But there are capable Russian dendros who might be encouraged to take on this sort of program. From this sort of database, one could do real analysis, without having to listen to tiresome CRU whinging about poor replication. If one were lucky, one might even be able to accurately measure changes in treeline through the medieval period and Little Ice Age and modern warming, thereby obtaining a proxy that would be convincing to all parties to the debate. If the transect were properly marked, dendros could return to it in the future and definitively measure changes.

Optimistic or not, the collection of a dataset of over 1000-1500 crossdated cores from one (or two) well-located altitudinal transects at Polar Urals is one answer to the RC question.

Briffa Condemns Mann Reconstructions

Not in so many words, of course. However, Briffa et al 2013 took a position on the use of radially deformed tree ring cores that would prohibit the use of strip bark bristlecones in temperature reconstructions, thereby emasculating Mann’s reconstructions. And not just the Mann reconstructions, but the majority of the IPCC reconstructions used by Briffa in AR4.

I’ll report on this issue in today’s post. I’ve been looking closely at Briffa et al 2013 over the past 10 days and unsurprisingly there is issue after issue. According to CRU, they’ve been working on this article for over seven years and, needless to say, it is impossible to fully observe the pea in only a few days, especially when the adjustments have become so baroque that the chronology style is most aptly described as East Anglia Rococo, making the weary reader long for the classic simplicity of earlier CRU illusions like the Briffa Bodge and Hide the Decline. But more on this on another occasion. Continue reading

Econometric Applications in Climatology

Ross McKitrick is hosting a workshop entitled “Econometric Applications in Climatology” – see website here and here. A detailed program is online here.

Ross has attracted an enviable representation from the econometric community. Invitations were widely extended to the climate community without the response that Ross had hoped for, though there will be some prominent attendees, including Carl Wunsch who will be giving a keynote address.

I’m giving a presentation on Friday on proxy inconsistency at a session chaired by Hu McCulloch. I am consistently amazed at how long it takes me to prepare a new presentation and this has been no exception.

Briffa 2013

Briffa’s new paper on Yamal is online today here, together with Supplementary Information here.

Yamal has been a longstanding issue at Climate Audit. The new article appears to be their long awaited response to criticism from Climate Audit (though this criticism is not referred to anywhere in the aticle.)

In resisting FOI requests for their withheld 2006 Yamal-Urals regional chronology, CRU said that it was incomplete, as they were continuing to work on its development. However, they did undertake to disclose the 2006 regional chronology as part of the present publication. On my first reading, instead of living up to their undertaking to develop a regional chronology, CRU has instead provided reasons against using a regional chronology and do not present one in the paper – instead focussing on a variation of the original Yamal chronology.

In resisting the FOI, CRU said that production of the 2006 regional chronology would damage the reputation of CRU scientists. The 2006 version appears to be the “Urals raw” chronology illustrated in SM9 as Greater Urals (shown below), though it is not identified as such in my first reading. Readers can judge for themselves whether their foreboding was justified.

greater_urals-GU2
Figure 1. Compare to GU2 top panel.

Readers who are convinced by Briffa’s arguments against a regional chronology may well wonder whether, for example, the Avam-Taimyr regional chronology of Briffa et al 2008 would pass corresponding tests, since no similar analysis has ever appeared in Briffa articles in which he presented earlier regional chronologies. Or whether these tests only became of interest when the regional chronology went the wrong way.

CA readers will recall the original controversy in September 2009 over the Schweingruber Khadyta River series in Yamal, a controversy on which I’ll review in the present context on a subsequent occasion. Leaving nothing on the table, Briffa excluded the Khadyta River from the present reconstruction, pointing out that recent trees in this area had been growing poorly (thereby lowering the late 20th century uptick.) They state:

the site report (and statistical evidence) demonstrating the anomalous “signal” in the Khadytla data lead us to omit them from the new Yamal chronology constructed here (see SM5 SM2 part YT3 for details)

UnderCooked Statistics

Yet another propaganda essay masquerading as a scientific paper has been published (SI here) in the journal, Environmental Research Letters.   The latest entry, Quantifying the Consensus on Anthropogenic Global Warming in the Scientific Literature, written by a team of activist bloggers led by John Cook of the antithetically named Skeptical Science blog,  attempts to further the meme of a 97% consensus of scientific support for a faltering Global Warming movement.

There have been a number of posts, for example,  here, here and here at Lucia’s Blackboard or this one and that at WUWT which discuss the weak data gathering / data interpretation methodology and the truly incredible spin-one’s-head- around algorithm for generating a value of “97” which conveniently ignores a large proportion of the data.  My focus in this post will be to examine some of the other “quantifying” material.

Given the virtual absolute absence  of available data and statistics in this paper, this will not be that easy a task.  The authors have apparently bought into the Climate Science tradition of why should I make the data available if you will only use it to prove me wrong.  I should point out that I have spent much of my academic career doing just that and become reasonably adept at recognizing situations where work might  be shoddy.  This is due to my experiences with consulting on academic research projects, Ph.D. and Master’s theses work as well as outside the university.  When  interviewing the researchers about their project, I would tell them that I would attempt to find everything that was wrong with their planned research.  When it got to the point that this was no longer possible to do, I would be satisfied that the statistical aspects would be adequate for answering the questions that they wished to answer.

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