The National Climatic Data Center also apply a series of step -
change homogenization adjustments to their Fully adjusted dataset.
Not exact matches
Those
homogenization adjustments now distort our perceptions, and affect our interpretations of climate
change.
Homogenization has failed to adjust for documented location
changes, yet created
adjustments to untainted data where none were needed.
The bizarre consequences of USHCN's monthly
homogenization adjustments are seen by comparing
changes in Death Valley's maximum temperature trends over the past 2 years (solid black line).
I would even like to see some of the classic graphs — but showing with and without each of the four
adjustments Zeke is talking about (and also both ways on
changing past relative to present and
changing present relative to past)-- just to see the classic graph with the raw data, the classic graph with the QA — the classic graph with the TOBS correction and the classic graph with the pair-wise
homogenization.
I should also point out that both Berkeley and NCDC (in Williams et al 2012) do what you are suggesting and do not include an explicit TOBs
adjustment; rather, they use the pairwise
homogenization algorithm to detect TOBs inhomogenities in the same way they detect instrumental
changes (MMTS) and other factors.