Two sets of correlations are shown: one based only on the subfossil series and the other including the living tree material whose precise elevations are not known and have been set here to a constant elevation of 250 m. None of the correlations is significant indicating that there is little evidence for an elevation influence on ring density and hence little age - dependent
bias in the temperature reconstruction arising out of the differences in sample heights shown in Figure 4.»
With a little reflection, I think that it can be seen that the mathematics of Mennian methods will necessarily slightly increase the warming trend
in temperature reconstructions from surface data, an effect previously seen with USHCN and now seen with GHCN.
These temperature estimates will be interesting for the current debate about the representation of volcanically - induced
cooling in temperature reconstructions, and for testing of climate model simulations.
In a «Supplementary Information» section, the ISPM contends: «The National Research Council recommended that proxies sensitive to precipitation be
avoided in temperature reconstructions and, in particular, that strip - bark bristlecones and foxtails be avoided.»
Rather this is «hiding data» or «data manipulation»; i.e., selecting only a portion of a proxy which has a desired pattern to use
in the temperature reconstruction while omitting the remainder which falls outside the desired pattern.
The decadal - scale variability
reflected in the temperature reconstruction from tree rings may well be superimposed over this warmer baseline, but the warmth still would not likely match the observed average maximum temperatures over the past decade (17.54 °C mean maximum average for 1999 — 2008, Fort Valley, AZ, Western Regional Climate Center)(Table S1).
Even less confidence can be placed in the original conclusions by Mann et al. (1999) that «the 1990s are likely the warmest decade, and 1998 the warmest year, in at least a millennium» because the uncertainties
inherent in temperature reconstructions for individual years and decades are larger than those for longer time periods and because not all of the available proxies record temperature information on such short timescales.»
I don't think this is cherry picking in the usual sense; i.e., selecting only proxies with a desired pattern to use
in the temperature reconstruction (such as bristle cones).