"Carbon (Dioxide) trading is now the fastest growing commodities market on earth.....And here’s the great thing about it. Unlike traditional commodities markets, which will eventually involve delivery to someone in physical form, the carbon (dioxide) market is based on lack of delivery of an invisible substance to no-one. Since the market revolves around creating carbon (dioxide) credits, or finding carbon (dioxide) reduction projects whose benefits can then be sold to those with a surplus of emissions, it is entirely intangible." (Telegraph)

This blog has been tracking the 'Global Warming Scam' for over five years now. There are a very large number of articles being published in blogs and more in the MSM who are waking up to the fact the public refuse to be conned any more and are objecting to the 'green madness' of governments and the artificially high price of energy. This blog will now be concentrating on the major stories as we move to the pragmatic view of 'not if, but when' and how the situation is managed back to reality. To quote Professor Lindzen, "a lot of people are going to look pretty silly"

PS: If you have arrived here on a page link, then click on the HOME link...

Saturday, 11 May 2013

A mean study of Australian temperature

There is a systematic error using minimum and maximum recording thermometers. This is a consequence of the “one-way” temperature recording where, for example, a 10 minute 10C fluctuation in temperature would give a 0.50C increase in mean temperature rather than the properly weighted 0.010C change. This preliminary analysis shows that around the Australian coast the mean temperature has been overestimated by 0.6 0C. If this is the general case throughout the year then the overall Australian temperature has been over estimated. There is clearly a need to re-examine the reported Australian temperature record in the light of this analysis rather than the seemingly endless reworking of minimum and maximum temperature by adjustments. If the mean land temperatures are overstated from averaging minimum and maximum temperatures and the air temperatures over the oceans are measured mean values then the blending of the two data sets creates a systematic distortion. Computer models tuned by back-casting to reported measurements will in turn overstate feedback effects. This could be particularly the case for regional modelling and consequent projections."

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