ACCURACY OF TEMPERATURE TRENDS and THE CARBON CYCLE REVOLUTION.
I have frequently argued that the claimed temperature "trends" from the "Mean Annual Surface Temperature Anomaly Record" greatly exceed the values claimed. It is difficult, however, to obtain a reliable figure from all the operations that are carried out to obtain the final global figures.
Lubos Motl has now made an analysis of 58,579 monthly "trends" from the 5113 ""raw data" files which have recently been released by Hadley/CRU, at
He gives the following Gaussian curve arising from this analysis:-
This has an average of 0.76 ºC per century with a standard deviation of ±2.36ºC . For 95% Confidence limits (one chance in 20 that the true value is in the range) is therefore ±4.72ºC, 6.2 times the average which means that it has almost zero statistical significance. Indeed it means that 30% of the stations showed a cooling trend, far more than have been identified previously
Motl has done a similar job on the data since 1979 at
where he gets the following distribution curve:-
This is skewed because the temperature has fluctuated. The mean is 2.24ºC ± 14.08ºC, almost zero statistical significance and 31% of the stations show cooling this time.
This analysis is only the beginning, because it does not take into account the unrepresentative samples, which change frequently, and involve taking the mean of a maximum and a minimum, or the averaging to get a monthly figure.
Why should anybody believe these "trends"?
Then we have the Carbon Cycle Revolution launched by Murry Selby of Macquarie University at
with a podcast of his lecture at
He presents very convincing arguments to show that increases in atmospheric carbon dioxide are unrelated to human emissions from fossil fuel combustion and extremely convincing evidencve that they are related to global temperature fluctuations. They are therefore predominantly natural, not man-made,
He is yet to publish a full paper on the subject, but some of his graphs can be obtained by saving the web page of the first reference.