Crowley and Lowery [2000]

Crowley and Lowery [2000] is a staple multiproxy study: it was cited by IPCC [2001] and is used in spaghetti diagrams in Mann et al. [Eos 2003], Briffa et al. [2001], Jones and Mann [2004]. It is one of the "Hockey Team" supposedly supporting MBH98-99. In October 2004, I obtained smoothed and transformed versions used in Crowley and Lowery [2000] and this information is used here.

The email dataset contains 15 series (the same number as listed in Crowley and Lowery [2000]) and a 15-site composite. CL2000 reported that they transformed data as follows in order to calculate a composite:

The method (shall we call it the “Crowley transformation”) seems a little primitive, but I've actually have found this transformation to be quite a useful means of visualizing the effect of individual proxies in the various multiproxy studies, because it provides an easy metric for showing the contribution of each proxy to the total in which values remain positive. (The results are probably pretty similar to what you would get with non-parametric quantiles -  which would be a worthwhile exercise).  Figure 1 below shows the contribution of the individual proxies to the overall Crowley index. 

FIGURE 1. Color-coded Crowley and Lowery [2000] Composite Index. Source: Crowley, pers. comm., Oct. 2004

The color coding strikingly illustrates a number of important points.

Without the contribution of the bristlecones and Polar Urals, the MWP peak would be stronger than the 20th century peak as shown in Figure 2 below, which adopts a different editing approach to CL2000, as opposed to the one adopted by Crowley. Instead of deleting the Sargasso Sea and Central Michigan pollen proxies – both of which are rather well-linked to temperature – the two bristlecone pine series are excluded (as not being good temperature proxies) and the first century of the Polar Urals series is excluded on quality control grounds. The post-1965 portion is not illustrated following Crowley’s own admonitions on quality. While the 20th century portion of Figure 1 was not exceptional on its face, the 20th century portion in Figure 4 is even less exceptional.

Figure 4. Color-coded Crowley and Lowery [2000] Composite, excluding the bristlecone pine series and the 11th century portion of the Polar Urals. 

Some of these individual proxies will be considered elsewhere. Crowley's White Mountains proxy is Sheep Mountain [Lamarche, 1974], which we have discussed in connection with MBH98. "C. Colorado" is Almagre, also a bristlecone pine site. We have already discussed problems with bristlecone pines.  The 11th century portion of the Polar Urals series consists of as few as 3 cores; some of the cores are only 75 years long and are very weakly dated. This series does not meet quality control criteria prior to 1100 at the earliest. The Dunde series is a high-altitude series at exactly the same latitude (38N) as White Mountains. There is specialist concern regarding whether O18 values in tropical glaciers are measuring precipitation amount (rather than temperature). The pattern of O18 values from monsoon precipitation is reversed from the polar types:  in the summer, owing to monsoon rainout, O18 is the lowest; in the winter, O18 is higher. There has been a trend of increasing annual O18 values at Dunde, which Thompson attributes to rising temperatures, but an increased proportion of winter precipitation would have the same effect. I have not seen any analysis by Thompson of this matter which rises above arm-waving. Complicating the matter is the fact that Thompson has never archived the original Dunde data (from 1987). Different grey versions have floated around over the years. Most recently, Thompson has archived decadal averages, but these differ from versions used in MBH98 and by Bao Yang. At this point, I merely draw attention to the prominent role of this series (and it will recur elsewhere) in creating stereotyped patterns. 

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