Difficult To Explain With Current Climate Models


By Dr. Benny Peiser, Dr David Whitehouse —— Bio and Archives March 15, 2013

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  • Global temperature constant for 16 years as CO2 increases from 370–390 ppm.
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  • Not due to cherry-picking or El Nino/La Nina events.
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  • Poorly reported by the media.

London, 15 March: A new report written by Dr David Whitehouse and published today by the Global Warming Policy Foundation concludes that there has been no statistically significant increase in annual global temperatures since 1997.

After reviewing the scientific literature the reports concludes that the standstill is an empirical fact and a reality that challenges current climate models. During the time that the Earth’s global temperature has remained static the atmospheric composition of carbon dioxide has increased from 370 to 390 ppm.

“The standstill is a reality and is not the result of cherry-picking start and end points. Its commencement can be seen clearly in the data, and it continues to this day,” said Dr David Whitehouse, the author of the new report.

The report shows that the temperature standstill has been a much discussed topic in peer-reviewed scientific literature for years, but that this scientific debate has neither been followed by most of the media, nor acknowledged by climate campaigners, scientific societies and prominent scientists.

The report also surveys how those few journalists who have looked at the issue have been reporting the standstill, with many far too ready to dismiss it or lacking a sense of journalistic inquiry, preferring to reports squabbles rather than the science.

”If the standstill continues for a few more years it will mean that no one who has just reached adulthood, or younger, will have witnessed the Earth get warmer during their lifetime,” said the report’s author, Dr David Whitehouse.

In his foreword, Lord Turnbull, former Cabinet Secretary and Head of the Home Civil Service, commented:

“Dr Whitehouse is a man who deserves to be listened to. He has consistently followed an approach of examining observations rather than projections of large scale computer models, which are too often cited as ‘evidence’. He looks dispassionately at the data, trying to establish what message it tells us, rather than using it to confirm a pre-held view.”

Full report here


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Items of notes and interest from the web.