Anthony Watts and E. M. Smith point out how data is re-imaged, or re-imagined, in order to give it a semblance of integrity.
It should be that the data is original, not that it is re-duplicated.
E.M. Smith over at the blog Musings from the Chiefio earlier this month posted an analysis comparing versions 1 and 3 of the GHCN (Global Historical Climate Network) data set. WUWT readers may remember a discussion about GHCN version 3 here. He described why the GHCN data set is important:
There are folks who will assert that there are several sets of data, each independent and each showing the same thing, warming on the order of 1/2 C to 1 C. The Hadley CRUtemp, NASA GIStemp, and NCDC. Yet each of these is, in reality, a ‘variation on a theme’ in the processing done to the single global data set, the GHCN. If that data has an inherent bias in it, by accident or by design, that bias will be reflected in each of the products that do variations on how to adjust that data for various things…
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