the Air Vent

Because the world needs another opinion

Fraternal or Paternal

Posted by Jeff Id on July 19, 2010

Roman took a closer look at duplicate GHCN stations. He had a few sharp words for those who taught the recent replications of temperature metrics as ‘confirmation of accuracy’ — they are absolutely NOT.  They confirm that the softwares used aren’t causing big problems with trend, nothing more.  The similarity is due to the use of the same original datasets.  Anyway Roman’s post begins here with a link to the whole thing at the bottom.


There has been a flurry of activity during the last several months in the area of constructing global temperature series. Although a variety of methods were used there seemed to be a fair amount of similarity in the results.

Some people have touted this as a “validation” of the work performed by the “professional” climate agencies which have been creating the data sets and working their sometimes obscure manipulation of the recorded temperatures obtained from the various national meteorological organizations that collected the data. I for one do not find the general agreement too surprising since most of us have basically used the same initial data sets for our calculations. I decided to take a closer look at the GHCN data since many of the reconstructions seem to use it.

GHCN Twins

4 Responses to “Fraternal or Paternal”

  1. The similarity is due to the use of the same original datasets

  2. Re: Ron Broberg (Jul 19 17:06),
    Supporting Ron’s post – I did a Land-Ocean comparison of the raw GHCN and GSOD data here. The results are very similar, though GSOD has many more stations.

  3. Tony Hansen said

    Well I don’t know Jeff….Ron and Nick are in to have their say…. so I will put my money on you….. but that could be seen as being ad bettium… so I won’t…..

  4. genezeien said

    Heh, did a bit of a workup right after ClimateGate. Without smearing the anomalies out over areas with no temperatures in the data, the results look quite different. 1×1 grid, averaged data within sectors, kept those with continuous data 1900-2009. Poked a stick at the UHI and Arctic, too. Source code & data links at

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