As CA readers know, Phil Jones keeps his CRU data secret. Embarrassingly, the UK Met Office relies on this secret data and says that it is unable to provide this supporting data for the most relied upon temperature data set in the world. Their statements in response to FOI requests as to what they actually hold seem contradictory, but most recently they state that they do not hold original data, but only the "value added version" provided to them by Phil Jones. Whether they are entitled to keep the "value added version" secret is something that their FOI officer is presently considering.
Recently, Anthony Watts discovered that the Honolulu Observatory data, which NOAA and NASA lost track of in the 1980s, continued to the present day.
Anthony observed the substantial difference between trends at Honolulu airport and at more rural sites.
When I've done previous benchmarking of GISS data, I've usually tried to use relatively isolated stations so that the effect of data inclusions and exclusions could be simplified. Since Hawaii is relatively isolated, it seemed like it would be an interesting exercise to look at the Hawaiian gridcell, to get a preview of whether the "discovery" of a long data set might have an impact at the gridded level.
As so often, when one goes down a climate science rabbit hole, wonderland awaits.
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